About
I'm Malav Shah, a Front End and UX Developer since 2019, merging design and tech…
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Malav Shah shared thisI'm attending the 1EdTech Learning Impact Conference, June 1–3, 2026, because these are the questions I want to be in the room for: How is AI actually changing learning design? What does real interoperability look like on the ground? Where is the global edtech community putting its energy next? If those questions matter to you, let's be there together: https://lnkd.in/gn7ijXFP #LearningImpact2026 #1EdTech
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Malav Shah reposted thisMalav Shah reposted thisUnicon, Inc. is hiring! If you're a builder, collaborative, and committed to making EdTech work for learners and educators, you'd love it here. We're looking for Python specialists or, even better, an expert with both Python and React. Let's connect if you think that's you!
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Malav Shah shared thisGrateful to have been part of the development team at Unicon, Inc., working on Learnvia. Exciting to see the launch and the impact it can have for students. 🚀🎓✨Malav Shah shared thisLearnvia has officially launched, along with our first product: Learnvia Calculus I. Learnvia is a new university-affiliated nonprofit learning collaborative focused on improving student success in high-enrollment gateway courses. Developed in collaboration with Carnegie Mellon University and supported by the Gates Foundation, Learnvia Calculus I is free to students and designed to support effective teaching and learning in post-secondary mathematics. Faculty and institutions interested in joining the collaborative, participating in the pilot, or learning more about Learnvia Calculus I may visit www.learnvia.org/pilot. Learn more: https://lnkd.in/eTs4uzk2 #Learnvia #HigherEducation #StudentSuccess #GatewayCourses #STEMEducation
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Malav Shah shared thisMalav Shah shared this
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Malav Shah shared thisMalav Shah shared thisUnicon’s newest ebook looks into ways educators can use #MachineLearning to find interesting and actionable patterns in data for creating student groups that lead to more effective learning in group activities. Read it now to see how #AI and #ML can be used to amplify the impact of learning environments. https://hubs.li/Q010Bssr0
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Malav Shah shared thisI am glad to be a part of Development Team for the project which can really impact Education.Malav Shah shared thisIf you do something long enough, you start fantasizing about tools that would make it easier. For me, the "something" is large scale experimental research in education settings, and this past summer, my fantasy became a reality! I was lucky to collaborate with Unicon, Inc. to build Terracotta (a portmanteau of Tool for Educational Research with RAndomized COnTrolled TriAls), a platform that integrates with Canvas LMS, and allows a teacher or researcher to randomly assign different versions of online learning activities to students, collect informed consent, and export deidentified study data. Come join Aigner Picou, Patty Wolfe, and me as we share the story behind Terracotta and run a live demo. Tuesday October 12, 1-2pm Eastern US, part of EDUCAUSE's Industry & Campus Solutions webinar series. Registration is free. https://lnkd.in/eczYTK-z
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Malav Shah shared thisMalav Shah shared thisUnicon has been working with Indiana University to build Terracotta, a platform for conducting experiments in a live classroom that integrates with the Canvas LMS. Register for our webinar presented by EDUCAUSE on October 12th where we’ll unveil Terracotta and tell the story of how we collaborated to bring it to fruition. #terracotta #researchtechnology #researchtech https://hubs.li/H0Y5NjF0
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Malav Shah shared thisMalav Shah shared thisWe're partnering with our friends at Instructure to present key things of note happening in the IMS standards world. Join us tomorrow! https://lnkd.in/g6ZuiWs
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Malav Shah liked thisMalav Shah liked thisThe $200 Bn Dollar Opportunity. We're building an AI-Native technology services company at devx AI labs. I've always believed that the secret sauce is in the team structure. Here's the biggest change: Traditional IT services companies have about 15 Junior developers for each Project manager. A 1:15 ratio. At devx AI labs, this ratio would be 1:2 by the end of 2026. Another major change we've made to our team structure is the introduction of Outcome Managers (also known as Product Managers) at devx. When software gets built faster, the bottleneck becomes knowing what to build, change management and adoption strategy. Outcome Managers at devx do that. They understand our clients' business objectives and ensure the software we build achieves the desired outcome. They're data-first, listen to customers and are industry experts. For example, Outcomes Managers work with our D2C customers to help them improve their conversions or AOV. They know the right levers to pull and the right data to measure. We think of them as members of the client's team. At scale, your technology team defines how you perform as a business. We're building devx to be the partner that gets that. We're young and fast. We're becoming the point of differentiation! Yash | Brijesh
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Malav Shah reacted on thisMalav Shah reacted on this𝗪𝗵𝗮𝘁’𝘀 𝗴𝗼𝗼𝗱 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸? AI truth-telling. I noticed a recurring thread in AI articles I consumed this week: although AI has 𝘴𝘶𝘳𝘧𝘢𝘤𝘦𝘥 fundamental problems in Higher Education, it didn’t actually 𝘤𝘳𝘦𝘢𝘵𝘦 those problems. Take Santiago Schnell’s description in 𝘙𝘦𝘱𝘢𝘪𝘳𝘪𝘯𝘨 𝘵𝘩𝘦 𝘙𝘶𝘪𝘯𝘴: 𝘞𝘩𝘺 𝘈𝘐 𝘊𝘢𝘯’𝘵 𝘙𝘦𝘱𝘭𝘢𝘤𝘦 𝘌𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯 in the National Catholic Register: “AI has not created new educational problems; it has made old ones impossible to ignore. The habit of rewarding performance over understanding, fluency over depth, and polish over genuine engagement was already present in our institutions before the first language model was trained. AI simply industrializes and accelerates those habits until their emptiness becomes undeniable.” https://lnkd.in/gHTZG4dP Phil Hill relayed a similar sentiment from a report by Yale’s Committee on Trust in Higher Education: the report “details a decades-long erosion of public trust caused by pervasive grade inflation that has undermined credential integrity, intellectual monocultures on campus, affordability pressures, and debt burdens at professional schools that outrun expected earnings. The committee places significant responsibility on higher education institutions themselves for allowing these issues to accumulate over many years." "None of those problems were created by AI. Grade inflation was accelerating before ChatGPT existed. The debt-to-earnings mismatch was documented long before generative models could write a student essay. Intellectual insularity on campus is not a technology problem. These are choices institutions made, or allowed to accumulate, over a long period.” Likewise, when we see humanity being crowded by AI, the uncomfortable truth is that our habits and priorities were out of alignment long before LLMs and AI bots. Kids who would rather befriend a GPT than their neighbor is not an AI problem, it’s a socialization problem. And it's no coincidence that the sycophantic tendencies of our GPT relationships mirror our social media echo chambers, which reflect our inability to engage in face-to-face productive disagreement. These are not AI problems, these are human problems. We keep asking what AI is doing to us. The harder question is: what were we already doing to ourselves? And how do we reclaim depth, rigor, and genuine intellectual and interpersonal engagement?Repairing the Ruins: Why AI Can’t Replace EducationRepairing the Ruins: Why AI Can’t Replace Education
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Malav Shah liked thisMalav Shah liked thisI'm attending the 1EdTech Learning Impact Conference, June 1–3, 2026, because these are the questions I want to be in the room for: How is AI actually changing learning design? What does real interoperability look like on the ground? Where is the global edtech community putting its energy next? If those questions matter to you, let's be there together: https://lnkd.in/gMB3GawN #LearningImpact2026 #1EdTech
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Malav Shah liked thisMalav Shah liked this#RSAC2026 was my second time volunteering and this year felt different in the best way. I worked as a Room Host, supporting behind the scenes operations and speaker coordination, which gave me a close up view of how each session comes together and the chance to work directly with some incredible speakers. A big thank you to the speakers I had the chance to work with Mathew Everman Ashwani Mahajan Eran Segal Frédéric R. Kaouther Ouenniche J.R. Rao Akila S. Konstantinos Karagiannis John Kindervag Steve Giguere Erez Harush I really appreciated the conversations, the insights you shared, and the effort behind each session. It was a great learning experience, especially seeing how security is evolving with AI, cloud, and real world challenges. I also spent time at the RSAC Early Stage Expo, which was a great way to see new ideas and emerging startups shaping the future of security. Outside the sessions, some of the best moments came from quick conversations on the expo floor with people building, solving, and thinking deeply about security. Those short interactions ended up being some of the most valuable. A few things that stayed with me • Security is becoming part of how systems are built, not just added later • Cutting through noise while still catching real threats is harder than it looks • Trust in AI driven systems is going to matter more than ever And a fun highlight to wrap it all up, getting to see Hugh Jackman and Hugh Thompson, Ph.D. Thompson at the closing ceremony. Definitely a memorable way to end the week. Really grateful for all the people I met and the conversations I got to be part of. If we met at #RSAC, let’s stay connected. I would love to keep the conversation going.
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Malav Shah liked thisMalav Shah liked thisMy CLAUDE.md was 18 lines long and my AI agent ignored half of them. Not because the rules were bad. Because I crammed six different types of guidance into one file and expected the agent to figure it out. A TDD workflow sitting next to "my name is Shivam" sitting next to "never commit to main." All loaded every turn. All treated as equally important. No wonder it had selective memory. So I ran every line through a simple sorting exercise. Five questions: - Is this true every session? Keep it. - Is this a multi-step workflow? Pull it out into a skill file. - Should the user trigger it? Make it a command. - Can the agent reason its way around it? Then it needs a hook, not a suggestion. - Is it one-time? Stop codifying it. 18 lines became 4 lines of instructions + 6 skill files + 1 command + 4 enforced hooks. The agent went from "sometimes follows the rules" to "loads the right workflow at the right time and can't bypass the guardrails." Full walkthrough with every line sorted and the actual output files: https://lnkd.in/gqUR7zZ8 Also open-sourced a /stich command that does this analysis automatically on your CLAUDE.md: https://lnkd.in/gtxdfn9c #AIEngineering #DevTools #SoftwareEngineering #ClaudeCode #CodingWithAI
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Malav Shah liked thisMalav Shah liked thisI love it when former students visit class to share their real-world experiences with current students! Was privileged to have Vivin Paliath, Ph.D., Christian Murphy, and Joseph Hale, MS SE on a guest panel to talk to SER516 Software Agility students about the daily impact of AI on software engineering in real-world contexts. They also stuck around to visit our sophomores in SER216 with Srividya Bansal and then SER594 SE+AI with Ajay Bansal. A full day devoted to our students up and down the curriculum at Poly! And my favorite part was having them visit with me in my office for the last hour of the day to riff on AI hacks in the workplace - the teacher became the student while the students are now the teachers. Thank you so so much for paying forward to future Sun Devils - Fear the Fork!
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Malav Shah liked thisMalav Shah liked thisWhat an incredible turnout at the Future of Higher Ed networking event at the ASU+GSV Summit, alongside The Possible Zone and Lumina Foundation. Thank you to everyone who joined us and the FOHE community for an evening of conversation about what's next in postsecondary education and training. The energy in the room was a reminder of why this work matters and why community is at the center of everything we do at Unicon. Grateful to be part of this community. More to come this week from San Diego! #ASUGSVSummit #FOHE
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Finding Cryptocurrency Attack Indicators UsingTemporal Logic and Darkweb Data
See publicationWith the recent prevalence of darkweb/deepweb (D2web) sites specializing in the trade of exploit kits and malware, malicious actors have easy-access to a wide-range of tools that can empower their offensive capability. In this study, we apply concepts from causal reasoning, itemset mining, and logic programming on historical cryptocurrency-related cyber incidents with intelligence collected from over 400 D2web hacker forums. Our goal was to find indicators of cyber threats targeting…
With the recent prevalence of darkweb/deepweb (D2web) sites specializing in the trade of exploit kits and malware, malicious actors have easy-access to a wide-range of tools that can empower their offensive capability. In this study, we apply concepts from causal reasoning, itemset mining, and logic programming on historical cryptocurrency-related cyber incidents with intelligence collected from over 400 D2web hacker forums. Our goal was to find indicators of cyber threats targeting cryptocurrency traders and exchange platforms from hacker activity. Our approach found interesting activities that, when observed together in the D2web, subsequent cryptocurrency-related incidents are at least twice as likely to occur than they would if no activity was observed. We also present an algorithmic extension to a previously-introduced algorithm called APT-Extract that allows to model new semantic structures that are specific to our application.
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Mirai School of Technology
Tushar Aggarwal, a Computer Scientist at Adobe, will soon be sharing his profound knowledge with Mirai students as a dedicated mentor. His specialization in backend and ML systems, honed through work on Adobe's global anti-piracy platform, makes him an ideal guide. He will cover essential topics like Generative AI, System Design, and FAANG interview preparation, bridging the gap between academic learning and industry demands.
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Chintan Parmar
While exploring the updated Dineout section in Swiggy, I noticed a small usability issue. When the Swiggy Dineout tab is selected, a purple gradient overlay appears at the top, but the location text loses contrast and becomes difficult to read. In high-frequency apps like Swiggy, even small readability issues can impact usability because this header is one of the first elements users interact with. A couple of possible improvements could be: • Increasing contrast between text and gradient • Slightly reducing overlay opacity • Using adaptive text color based on background brightness These are small details, but they’re the kind of refinements that often separate good UI from great product experience. Curious if others have noticed this as well. #UX #MobileApps #ProductThinking #AndroidDev #DesignFeedback #Swiggy
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Siddharth H.
✨ AI + Ground Reality = Real Social Impact ✨ India’s healthcare challenges are huge—limited access in rural areas, data gaps, and overburdened systems. But we’re seeing a quiet revolution where AI meets frugal innovation to solve real-world problems. 🚐 Nagpur’s AI-driven TB vans – Mobile X-ray units powered by AI are screening high-risk groups right at their doorsteps, enabling faster detection & treatment. 👁 Rajasthan’s Diabetic Retinopathy screening – AI-assisted eye scans are catching preventable blindness early, saving lives and livelihoods. 📲 IMS-BHU’s WhatsApp X-rays – An indigenous PACS-HIMS system delivers free digital reports directly to patients’ WhatsApp. Cost-effective. Scalable. Life-changing. 🌱 And Avni – A powerful open-source platform that empowers NGOs & field workers to collect and manage health data offline-first. Even in no-network zones, Avni ensures no community is left behind. Used across health, education, water, and social programs, it’s bringing digital infrastructure to India’s last mile. 🔑 What we can learn: 1️⃣ Accessibility by design: Bring diagnostics and data tools to the people, not the other way around. 2️⃣ Frugal innovation: Low-cost, scalable tech can create outsized impact. 3️⃣ Offline-first + open-source: True inclusion means working where internet doesn’t. 💡 The big picture: AI isn’t about replacing people. It’s about amplifying human effort—especially for those who need it the most. 👉 What’s an inspiring AI for good example you’ve seen lately? #AIForGood #DigitalHealth #LastMileTech #OfflineFirst #PublicHealthIndia #FrugalInnovation #SocialImpact #Avni #SamanvayResearch Arjun Khandelwal Vinay Venu Amazon Web Services (AWS) | n8n | Windsurf | ChatGPT | Cursor | OpenAI
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K Mohana Sri Bhavitha
Grateful to be part of the Swecha e-HRS journey. Volunteering has always been close to my heart, and working on Free Medical Camps during my internship has been one of the most meaningful experiences so far. Being on the ground, seeing patients from underserved communities receive structured and accessible healthcare — and then contributing to the technology that powers it — gave me a completely new perspective on impact-driven development. Beyond volunteering at medical camps, I contributed to strengthening the e-HRS platform technically. Some of my key contributions include: 🔹 Implemented Doctor and Patient Login with Password Setup Flow — handling first-time login scenarios and improving role-based authentication logic (backend authentication enhancement). 🔹 Improved and standardized mobile responsiveness across the application. 🔹 Fixed UI alignment issues in critical flows like Assign Doctor popup and Patient Registration. 🔹 Optimized patient search functionality in admin profiles (book number-based search improvements). 🔹 Contributed to backend unit testing for auth, patient, and medicine and other services to improve reliability. Working at the intersection of open-source technology and community healthcare has reinforced my belief that scalable, transparent healthcare systems can be built from the grassroots level. If you’re a: • Developer • UI/UX Designer • Backend enthusiast • Healthcare professional • Student looking to contribute to real-world impact I highly encourage you to explore and contribute to Swecha’s Free & Open Source e-HRS platform. Let’s build technology that truly serves society. Care. Community. Code. 💛 #OpenSource #TechnologyForSociety #HealthcareTech #InternshipExperience #FullStackDevelopment #Volunteering
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Manish D.
The 1-minute scan reading bottleneck in Indian healthcare is officially being shattered by AI. 🤯 We talk a lot about AI in tech, but the real-world impact in sectors like healthcare is staggering, especially in India where the radiologist shortage is a critical issue. Speed doesn't just mean efficiency here; it means lives saved. Here’s how AI is rapidly closing the gap in diagnostic imaging: * **Triage Acceleration:** AI models are now flagging critical, time-sensitive scans (like intracranial hemorrhages) **instantly**, pushing them to the top of the radiologist's queue. This cuts critical decision time significantly. * **Reducing Burnout:** AI handles the "first pass" screening for normal or low-complexity scans, allowing highly skilled human experts to focus their finite time on complex, ambiguous cases. * **Scalability:** A single AI system can effectively augment the capabilities of numerous remote or underserved clinics simultaneously, tackling regional disparity. * **Consistency Check:** It acts as a crucial **second opinion**, reducing inter-observer variability and improving diagnostic accuracy across the board. This isn't about replacing radiologists; it's about giving them superpowers to handle the massive volume required by a population of 1.4 billion. It's a perfect synergy of engineering and medicine. **What other areas in Indian public health do you see AI making the most immediate, life-altering difference in the next 24 months?** Share your thoughts below! 👇 #AIinHealthcare #HealthTech #DigitalIndia #Radiology #Innovation
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Aman Prajapati
Why is India excluded from Cursor's 1-year free student plan? 🇮🇳🚫 Anysphere (Cursor’s parent company) offers a generous 1-year free plan for students — a fantastic initiative to support learning and innovation. 🎓💡 But surprisingly, India isn’t even on the list of eligible countries. Not an oversight. Not a bug. A conscious decision. 🤔 In a country that produces some of the world’s top engineers, open-source contributors, and AI researchers 🧠💻. And a bit ironic, considering how many Indian students are actively shaping the future of tech. 🌏🚀 So, the big question is: 👉 What’s the logic behind excluding one of the largest student developer communities in the world? Would love to hear thoughts from the dev community — does this feel like a missed opportunity for meaningful impact? 💭🌍 Michael T. Aman Sanger Sualeh A. #AI #CursorAI #StudentDevelopers #TechAccess #EdTech #DeveloperCommunity #IndiaInTech
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vatsav kumar
𝐈 𝐭𝐮𝐫𝐧𝐞𝐝 𝐦𝐲 𝐕𝐒 𝐂𝐨𝐝𝐞 𝐢𝐧𝐭𝐨 𝐚 𝐛𝐨𝐚𝐫𝐝𝐫𝐨𝐨𝐦 𝐟𝐨𝐫 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬. 🤖👔 The inspiration for this project struck while watching Satya Nadella speak during the Microsoft AI Tour in India. He was discussing the future of agentic workflows and the concept of an "LLM Council." At that exact moment, I realized I was thinking the same thing: What if I could have multiple agents working on my coding task in parallel, competing to give me the best outcome? I didn't want to just choose between GPT-4, Claude 3.5, or Gemini. I wanted to ask 𝐚𝐥𝐥 𝐨𝐟 𝐭𝐡𝐞𝐦 𝐚𝐭 𝐨𝐧𝐜𝐞. So, I built it. Introducing 𝐋𝐋𝐌 𝐂𝐨𝐮𝐧𝐜𝐢𝐥 – a VS Code extension that orchestrates a team of AI agents to solve your coding tasks in parallel. Here is how it works: 🔹 𝐓𝐡𝐞 𝐂𝐨𝐮𝐧𝐜𝐢𝐥: You select your "Council Members" (e.g., GPT-4o, Claude Sonnet, Gemini Pro). 🔹 𝐓𝐡𝐞 𝐒𝐚𝐧𝐝𝐛𝐨𝐱: The extension automatically spawns isolated 𝐆𝐢𝐭 𝐖𝐨𝐫𝐤𝐭𝐫𝐞𝐞𝐬 for each model. They work on the same repo but in completely parallel universes. No merge conflicts. 🔹 𝐓𝐡𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: These aren't just chatbots. I implemented an 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐋𝐨𝐨𝐩 (similar to GitHub Copilot) where they can read files, run terminal commands, and edit code autonomously. 🔹 𝐓𝐡𝐞 𝐋𝐞𝐚𝐝𝐞𝐫: Once they finish, a "Leader" model reviews the diffs from every member and picks the best implementation to merge into your main branch. 🎥 𝐀 𝐬𝐦𝐚𝐥𝐥 𝐫𝐞𝐪𝐮𝐞𝐬𝐭: I know 5 minutes is a long time on LinkedIn, but please spare the time to watch the full demo below. It might really change the way you look at GitHub Copilot and your VS Code workflow. I promise it's worth it! #VSCode #AI #SoftwareEngineering #OpenSource #GenerativeAI #Coding #TypeScript #MicrosoftAITour #AgenticAI #Githubcopilot #LLMCouncil #Technology #VSCodeExtension #CodingAgents #Codeautomation #FutureOfWork #Github #Copilot #Gemini #Cluade #Grok #ChatGpt
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