eric dransfeldt
Portland, Oregon Metropolitan Area
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Technical Lead with team leadership, architecture, and C++/C#/Python Application and…
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eric dransfeldt shared thiseric dransfeldt shared this🌟 Exciting Update for the Deep Signal Library! 🌟 Thrilled to unveil some powerful features in Version 1.6 that are set to amplify your trading game! 🚀 Here's the scoop on what's new: 1️⃣ Permutation Feature Importance: Dive deep into your models! Now, with Feature Importance, you can scrutinize the impact of added features on your models. Uncover the gems that truly contribute to model excellence. 🕵️♂️✨ 2️⃣ Dataset Weights for Precision: Achieve balance effortlessly! Introducing Dataset Weights, where you can assign weights to Profit Target and Profit Target Not Reached datasets. Whether you prefer automatic balance or want to customize weights, the power is in your hands! ⚖️💰 3️⃣ Trainer Customization Bonanza: Elevate your model creation process with a plethora of customization options! Explore the new Scda, Lbfgs, Fast Forest, Fast Tree, and Lgbm Trainer Options. Fine-tune to perfection with control over L1/L2 Regularization, Leaves, Trees, Feature Fraction, Example Count, Bin Count, and Learning Rate. 🛠️🌲 #deepsignaltech #ninjatrader #machinelearning #tradingstrategy
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eric dransfeldt shared thiseric dransfeldt shared thisDeep Signal is excited to introduce our Training Data Viewer for the Deep Signal Library that allows the trader to visualize what data is being used to train their machine learning models. The chart will display where the Pre-Signal window, Signal Bar and Bars To Target window are located in relation to the data that was used to create a model. For more information on how to use the Training Data Viewer with the Deep Signal Library, please see our Online Help. #deepsignaltech #ninjatrader #machinelearning #tradingstrategy
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eric dransfeldt shared thiseric dransfeldt shared thisDeep Signal is excited to announce the release of the Deep Signal Library 1.5. The new version includes Regression and Multiclass machine learning trainers for creating new financial trading models. Please download the latest Deep Signal Library and try out the new trainers. #NinjaTrader #TradingStrategy #DeepSignalTech
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eric dransfeldt shared thiseric dransfeldt shared thisWant to use multiple machine learning models for trading different market conditions or triggers to enter a trade? The Deep Signal Library can now use multiple models in one strategy. Please download the latest Deep Signal Library to try it out! #NinjaTrader #TradingStrategy #DeepSignalTech
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eric dransfeldt shared thisGreat list of courses! Thank you for sharing!eric dransfeldt shared thisSo you are looking for Machine Learning courses on Youtube? Sure, here you go! You are welcome! - Andrew Ng CS229 ML: https://lnkd.in/gkDEyuCS - MIT: Deep Learning for Art: https://lnkd.in/grusgt3Z - Stanford CS230: Deep Learning: https://lnkd.in/ggXNEX7K - Practical Deep Learning for Coders: https://lnkd.in/giHMNrHG, https://lnkd.in/gDtRtHmG - Stanford CS224W: Machine Learning with Graphs: https://lnkd.in/grZC_j4N - Probabilistic Machine Learning: https://lnkd.in/gjSpNDCD - MIT 6.S191: Introduction to Deep Learning: https://lnkd.in/gWtSdkSH - UC Berkeley CS 182: Deep Learning: https://lnkd.in/gzHS6m8G - UC Berkeley Deep Unsupervised Learning: https://lnkd.in/gPdPbKku - Yann Lecun's NYU Deep Learning SP21L: https://lnkd.in/gdyzmf8b - Stanford CS25 - Transformers United: https://lnkd.in/gaZVn3wY - Hugging Face NLP Course: https://lnkd.in/gigfE2Yj - Stanford CS224N: Natural Language Processing with Deep Learning: https://lnkd.in/g4fg4_wX - CMU Neural Nets for NLP: https://lnkd.in/gVpUwtXE - Stanford CS224U: Natural Language Understanding: https://lnkd.in/gMeGkkzV - CMU Advanced NLP: https://lnkd.in/gAtrsGqY - CMU Multilingual NLP: https://lnkd.in/ghbcWftV - Stanford CS231N: Convolutional Neural Networks for Visual Recognition: https://lnkd.in/g3DeCWEc - Michigan Deep Learning for Computer Vision: https://lnkd.in/gbdgGgJQ - AMMI Geometric Deep Learning Course: https://lnkd.in/gYH6Vuum - UC Berkeley CS 285 Deep Reinforcement Learning: https://lnkd.in/gH-HYdqz - Intro to Deep Learning and Generative Models: https://lnkd.in/gxuTtkSk - Stanford CS330: Deep Multi-Task and Meta Learning: https://lnkd.in/gasntdBh Source: https://lnkd.in/gys5Rk5k Looking for career mentoring and/or Machine Learning consulting services? Let's chat: https://lnkd.in/gGBMXuR4 #machinelearning #deeplearning
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eric dransfeldt shared thiseric dransfeldt shared thisWe're excited to announce the Deep Signal Library version 1.3 has been released. It includes the ability to choose what trainer to use when creating a machine learning model. You can still have the Deep Signal Library try all available trainers when creating a model to find the best performing algorithm. The progress window that is displayed when creating a new machine learning model has been updated. It shows the best performing trainer in real time as the model is being created. It also will keep track of each trainer's performance so the user can look to see how each trainer performed during the training run. If you find some trainers do not work well for that dataset then you can deselect them for future training runs. #deepsignaltech #ninjatrader #tradingstrategy
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eric dransfeldt shared thiseric dransfeldt shared thisThis eBook takes a deep dive into many common software architecture patterns. Free, our gift to you.
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eric dransfeldt shared thiseric dransfeldt shared thisWe are excited to announce that the Deep Signal Machine Learning Library for NinjaTrader is available for download. After two years of development and a successful beta program, the Deep Signal Library is available for traders who want to create and use machine learning models for financial trading. The library is an extension of NinjaTrader that automates the process of creating a machine learning model that can be used in trading. #machinelearning #trading #ninjatrader #deepsignaltech
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eric dransfeldt shared thiseric dransfeldt shared thisWe are hiring research interns at Microsoft Mixed Reality! If you are a PhD student interested in deep learning and computer vision, and want to see how research gets turned into world-class devices like the #HoloLens, consider submitting your resume at the following link: https://lnkd.in/ghJngRM #microsoft #hiring #computervision #deeplearning
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eric dransfeldt liked thiseric dransfeldt liked thisThe $10B e-signature industry just got killed by one developer. Signing documents online usually means paying per submission and trusting your contracts to a third party. A developer just released an open-source alternative that removes both problems. DocuSeal lets you self-host the entire signing workflow on your own server. You keep full control over contracts, data, and storage. It runs on disk or any major cloud provider. The platform ships with a WYSIWYG PDF form builder and 12 field types covering signatures, dates, files, and checkboxes. Here's what's included out of the box: > Multiple signers per document > Automated emails via SMTP > PDF signature verification > Mobile-optimized signing flow > API and webhooks for integrations > Signing available in 14 languages It deploys in minutes and connects to Zapier, Make, and n8n. The repo is fully free, with paid tiers reserved for white-label, SSO, and bulk imports. Link in comments. ↓ Check out AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs.
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eric dransfeldt liked thiseric dransfeldt liked thisAMD is making a bold move to own the personal inferencing market by launching a Mini PC in June, a 128GB Shared Memory Inferencing Box They call it the Halo Box. It's a Ryzen AI MAX+ 395 (16 Zen 5 cores + 40 RDNA 3.5 CUs + XDNA 2 NPU) -Up to 128GB LPDDR5X-8533 unified memory -Full ROCm support + Day-0 AI model optimization -Built for local AI development (up to ~200B param models) Direct shot at NVIDIA’s $4,699 DGX Spark and could cost $2,000–$3,000.
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eric dransfeldt liked thiseric dransfeldt liked thisBy popular demand, we are launching #AI in #Finance #training, both live and virtual. Learn to use off-the-shelf models for maximum benefit and build your own state-of-the-art. Next class is scheduled for Wednesday, June 10, in NYC. Limited capacity. Sign up here: www.riskaicenter.com
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eric dransfeldt liked thiseric dransfeldt liked thisHarness engineering is the new must-have skill. This free course teaches it. Coding agents can write code. They just can't reliably finish real tasks across sessions without breaking things. A new open-source course called Learn Harness Engineering tackles this head-on. The "harness" is the workbench around the agent. Not the model itself. It breaks reliability into five mechanisms: instructions, state, validation, scope, and sessions. Without it, your agent forgets context, redoes work, and declares victory before tests pass. With one, every task becomes trackable, resumable, and verifiable. The curriculum ships 12 theory lessons and 6 hands-on projects, all built around one evolving desktop app. Each project's output feeds directly into the next. You also get reusable templates: > AGENTS.md instruction files > feature_list.json for scope > init.sh for environment setup > Progress logs for continuity Drop them into any repo to stabilize Claude Code or Codex immediately. Link in comments. ↓ Check out AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs.
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eric dransfeldt liked thiseric dransfeldt liked thisIntroducing Viktor. The human coworker that lives in Amsterdam, connects to roughly seven tools, and does the work. Terraform, Kubernetes, Go, coffee. Currently provisioned. https://getviktor.co/
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eric dransfeldt liked thiseric dransfeldt liked thisGive me one minute, and I’ll improve your Claude Code experience immediately. This is the first skill I built. And it’s the skill I use most often. *drumroll* It’s a SCREENSHOT skill. And honestly, I’m shocked Anthropic hasn’t built this functionality into Claude Code itself. Claude has access 🔑 But Claude needs EYES 👁️ Here’s what you’re going to do: 1. locate what folder all your screenshots go to (and if it’s your desktop, you’re a maniac, change it). Mine goes to a folder on my desktop called “organized screenshots” 2. prompt Claude Code with the following: Build me a skill called ‘/ss’ that lists out the files in <screenshots folder path> from newest to oldest, and grabs the newest. This is how I will speak to you visually. I also want an argument for the screenshot count - if I type ‘/ss 4’, you should grab the four most recent screenshots in that folder. If I type no number after ‘ss’ then only grab the most recent screenshot. Then, whatever follows after that argument is the action I want you to take. ‘/ss huh’ means I need you to explain the screenshots’ content to me. ‘/ss 3 make infographic plz’ means I need you to grab the last 3 screenshots and use their content to make me a unified infographic. ‘/ss fix’ likely means that I’m screenshotting an error message in code we’re building out and I need you to understand the error message, figure out the bug, and edit the code to fix it. Or, if we’re in the middle of a front end design project, it might mean the design has an error (like overlapping text) to fix. ‘/ss do this’ likely means that I screenshotted a smart thing someone did online and I want us to learn from it and do the same and remix it so it’s the most goal-oriented outcome for me based on what you know about me 1. let it build you the skill 2. go on LinkedIn 3. scroll through your feed and screenshot one thing you find valuable 4. open a new terminal and prompt Claude with “/ss” + “do this” or “explain” or “turn this into an infographic” 5. enjoy - you just gave Claude eyes 🎉 Let me know how it goes. Again, this is my most used Claude Code skill by a landslide and easily saves me an hour a week.
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eric dransfeldt liked thiseric dransfeldt liked thisExcited to show Databento's new backend data center site near #Portland. It's huge (the empty space we're standing in)! #Oregon landed on our shortlist because of the density of Pacific crossing submarine cables. This was a natural choice for us to bring our historical API services closer to our APAC and west coast customers. We're architecting this site to serve both primary traffic and disaster recovery needs. This marks our 4th data center location in the US. Since announcing our European expansion, we've signed for another 23 racks to be lit in Q2-Q3.
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eric dransfeldt reacted on thiseric dransfeldt reacted on thisYesterday, I was diagnosed with Stage IV pancreatic cancer. What started as a set of mostly routine tests about a month ago resulted in a CT scan on April 16, 2026, the day I learned I likely had late-stage cancer. The past two weeks have been filled with numerous follow-on tests and procedures (including this photo of me preparing to get a liver biopsy last week). I met with a talented oncologist at the OHSU Knight Cancer Institute in Portland, Oregon. I'm also in contact with oncology teams at UT MD Anderson in Houston (thank you, John Bagby!), Memorial Sloan Kettering in NYC (thank you, Bryan Knapp!), and the Mayo Clinic in Rochester, MN (thank you to my parents). There are teams of people working with me to get the best care possible, and for that I'm grateful beyond words. This includes the possibility of clinical trials and emerging forms of treatment. Chemotherapy will begin soon. Up until my diagnosis, this is the healthiest I've been in my life. I'm well prepared. My symptoms are minor. My attitude is positive, and I'm ready to do this. I feel empowered. I have a plan. And while I'll absolutely let Western medicine be in the driver's seat, I'm complementing it with other practices from cabbage juice to meditation to high doses of vitamin C to augmenting my failing pancreas with enzymes. I'm highly motivated to watch my grandchildren grow up, and to do so many other things in my life. Time has slowed down, and stress has melted away in the past two weeks. There are bounties even in times of bad news. Having given up all social media a decade ago other than LinkedIn, this is the best place for me to make this announcement, but it's not the best place to keep people informed about my journey. For that, I'm going back to Instagram (username: ravenzachary). If you're interested in updates, Instagram will be the best place to follow along. If you want to do more than follow along, feel free to reply here, send me an email (raven@rinzai.com), or text me at +1 (503) 729-8460. I'd prefer no phone calls or voicemails without a text first, because I need to leave my phone open right now for urgent scheduling and doctor calls. There's been a lot of that recently, and a lot more to come. If you do text, please identify yourself, because I don't have everyone in my contact list. Part of the reason I'm sharing this news so openly is because many of you will have inspiring stories of remission from loved ones, coworkers, casual acquaintances, or yourself. You may have advice to pass along about something that helped in recovery. I'm collecting these and incorporating many of them into my daily routine. I want to thank my boss, Josh Beatty at ARound / Stagwell, for his support in allowing me the time I needed to get my life structured around my medical care. This has allowed me to prepare a plan and begin the work in earnest. There's never been a better time to survive cancer. Remission is where I'm focused. Now, back to the cabbage juice...
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Method and apparatus for controlling temperature response of a part in a conveyorized thermal processor
US 6,453,219
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William R.
If there’s any low level coders in my network please check out Troy’s GitHub and his project to build a new, faster shell! Some details on Troy: ### Windows Accessibility and TTS Contributions (Red Eagle Team) - Description: As part of the Red Eagle Team (a Georgia-backed initiative with Microsoft support in the mid-2000s), Mallory developed foundational code for universal Text-to-Speech (TTS) systems and cross-platform handicap accessibility features. This included compatibility layers for screen readers, app navigation, and voice input (e.g., influencing tools like Dragon NaturallySpeaking). - Impact on Windows: Microsoft adopted and evolved his logic starting with Windows Vista, integrating it into core OS features for impaired users. If you've used modern Windows TTS, clipboard integrations, or basic accessibility navigation, elements trace back to this work. - Modern Extensions: He's currently exploring IoT/smart home integrations for disabled veterans, building on this foundation. Troy’s Post “Okay guys think tank. I maybe over complicating this or may habe to do a bit of tweaking with some C code. Rubian has been going smoothly. The new boot and dynamic system discovery deamons work great. As standalone. The new stack needs tweaking for efficiency but works and is stable. Here's the stack im working on with the prototype test. /etc/rc.local ->calls boot.rb as bg process. ->boot.rb bootstraps rubian's system discovery and array logic. User login -> rubian3.rb (repl) -> chsh -s ./rubian3.rb USER Rubian boot.rb logic. ->starts C ruby and Jruby C ruby starts the bootstrap process while jruby warms up. -> Cruby passes workload to jruby when its ready to finish boot system. The deamon system is the server-side, where shells and env are the client. (See my UNIX socket prototype here) https://lnkd.in/gf6rWs46 C and j ruby can now natively talk to each other. I know that works. The issue im having is the new login shell isnt hooking into the deamon when it loads. https://lnkd.in/g5_2ZuPH A further explanation: “Yes. I've been building from the Shell working down to the kernel. The Shell side of things mimic Bash but in ruby expression. On the logic side of things, ruby treats everything as an object. What im doing is taking all the system information and building Arrays. Each directory and file then has an index that we can iterate through with .each_with_index, .each_with_object, etc. So instead of a static file tree, i have arrays of nested file paths and directories being pattern matched. Any ruby app will be ran and communicate to it. This allows for dynamic file utils systems and more. Each array index points to a file, directory, process, thread, interpreter, shell, hardware, everything that is a defined method object.”
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Optavyn
👨💻 We don’t micromanage at Optavyn. Every dev here knows they’re not “just writing code”, they’re building products that matter. Every feature we ship solves a real-world problem. Every API we build connects with a user’s workflow. Every screen we design has intent behind it. Our team works remote, but we’re aligned, focused, and committed to the end goal: Delivering results not just tasks. If you're a founder or agency who values clear ownership, clean code, and reliable delivery, we might be the team you’ve been looking for. #TeamCulture #RemoteTeam #SoftwareProduct #OptavynCulture #ExecutionMatters #TechThatWorks
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Adam Millbery
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Gueri Segura
CTO: I shared a thought in a private engineering leadership group about AI speeding up coding and didn’t expect the response it got. Dozens of CTOs and senior engineers weighed in. Lots of disagreement. Lots of nuance. The takeaway that stuck with me: AI didn’t break engineering. It exposed it. Teams with strong DevEx, clear reviews, and healthy discipline seem to get more leverage from AI. Teams with weak reviews, unclear requirements, or coordination gaps feel more friction — not less. In most replies, the problem wasn’t “AI wrote bad code.” It was: – reviews that don’t scale – QA lagging behind – context getting lost – commit → deploy becoming the real bottleneck Faster coding just moves the constraint. Curious how others are seeing this play out inside their teams. #EngineeringLeadership #AIinEngineering #DevEx #CTO
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Harton Wong
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Pallav Singh
I recently built a toolchain for Clang (branch: bloomberg/clang-p2996) from upstream Clang compilers about 5 days ago. However, I’m running into issues with C++26 reflection -- it’s not compiling as expected. If anyone has successfully built or used reflection features on this branch, I’d appreciate any insights or guidance. root@pallav-VMware-Virtual-Platform:~# clang --version clang version 21.0.0git (https://lnkd.in/g3jJS4fU 2ea0a79fe7bb5f6fdb8c687ba0e21ab63696e7f7) Target: x86_64-unknown-linux-gnu Thread model: posix InstalledDir: /root/clang-p2996/build/bin root@pallav-VMware-Virtual-Platform:~# root@pallav-VMware-Virtual-Platform:~# clang++ --help | grep -i reflect -fentity-proxy-reflection Enable proposed reflection of entity proxies as described by P3XYZ -fparameter-reflection Enable proposed parameter reflection as described by P3096 -freflection-latest Enable all reflection features supported by Clang/P2996 -freflection Enable proposed C++26 reflection as described by P2996 root@pallav-VMware-Virtual-Platform:~# ls root@pallav-VMware-Virtual-Platform:~# root@pallav-VMware-Virtual-Platform:~# /root/clang-p2996/build/bin/clang++ \ -std=c++2c \ -freflection-latest \ -stdlib=libc++ \ -nostdinc++ \ -I/root/clang-p2996/build/include/c++/v1 \ -L/root/clang-p2996/build/lib \ pallav.cc -o pallav pallav.cc:1:10: fatal error: 'meta' file not found 1 | #include <meta> | ^~~~~~ 1 error generated. #cplusplus #cpp #CPlusPlus26 #ModernCpp #CppReflection #metaprogramming
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Kiran Grandhi
🚀 Big moves in the JavaScript world! The latest TC39 updates bring 9 new proposals into the spotlight and some of them are truly game changing. From native .at() support on typed arrays to new syntax like do {} expressions, the language is evolving to be cleaner, safer, and more expressive. These improvements aren’t just academic they’ll shape how we write, debug, and think in JS. Read the full breakdown here: https://lnkd.in/gpejsmcv #JavaScript #WebDev #TC39 #ESNext #Programming
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Mathieu Kessler
New drop: 19 prompts for running multi-agent Claude Code teams. If you've started using Claude Code for real work, you've probably hit the wall where one agent isn't enough. Parallel file changes. Conflicting decisions. No handoff structure. Tasks that take 20 minutes ballooning into 2-hour debugging sessions. The answer isn't to work harder with a single agent. It's to run a team and run it properly. Today I dropped AGENT-001: Claude Code Team Playbook, 19 operational prompts covering the full lifecycle: ▸ Decide & Dispatch: know before you start whether you even need a team ▸ Orchestrate & Execute: Plan-Then-Swarm, Delegate Mode, Adversarial Code Review, Progressive Delegation ▸ Quality Gates & Hooks: automate validation when teammates go idle or complete tasks ▸ Recover & Optimize: stall detection, drift recovery, context window management, retrospectives + A full learn guide The theory behind the prompts. When multi-agent makes sense, how to structure teams, patterns that work, and the anti-patterns that will waste hours of your time. Everything's free. No signup. 📦 Pack → https://lnkd.in/drzM5piT 📖 Guide → https://lnkd.in/dmFJ-gfv This is the third pack in the Claude Code series on NerdyChefs, alongside CLAUDE-001 (effort level optimization) and MCP-001 (building & securing MCP servers). If you're using Claude Code in production and want to talk about scaling your AI engineering setup, drop me a message. #ClaudeCode #AIEngineering #MultiAgent #Anthropic #DevOps
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