“I had the great pleasure working with Akshay in the past 2 years and he's one of the top engineers that I've worked with. Akshay has consistently demonstrated strong technical capabilities and leadership by spearheading multiple key projects on the Growth team with excellent execution and measurable business impact. In addition, he's a great team player and elevates the team's engineering excellence by contributing to engineering organization-wide initiatives. Most importantly, Akshay's ownership and accountability is truly impressive and I strongly believe he will add tremendous value to your team or organization. I couldn’t recommend him more for any team looking for new talent.”
About
Over the past decade, I’ve led and shipped products at Meta, Uber, Robinhood, and Helix :…
Services
Activity
-
BREAKING: Claude Mythos just obliterated every single benchmark in AI. I can't believe what I'm reading. Source: https://lnkd.in/gG2SUqje
BREAKING: Claude Mythos just obliterated every single benchmark in AI. I can't believe what I'm reading. Source: https://lnkd.in/gG2SUqje
Liked by Akshay Jain
-
“AI will never replace humans.” 2026 company town hall: “Quick update… the AI will now be replacing humans.” Please join us in congratulating the…
“AI will never replace humans.” 2026 company town hall: “Quick update… the AI will now be replacing humans.” Please join us in congratulating the…
Liked by Akshay Jain
Experience
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Education
-
-
-
-
-
-
-
Licenses & Certifications
Projects
-
Financial Portfolio prediction using Real-Time Sentiment Analysis on Big Data
-
-Developed a system that was able to analyze in near real-time the general sentiment of the financial markets as well as the general sentiment of specific equity products. The indexes and stocks analysed included (but not limited to) SPY, GOOG and JPM.
-Data was collected from The Guardian, The New York Times, USA Today and National Public Radio.
and stored using HDFS and Impala.
-MapReduce was used to convert news feed into a single metric used to construct a portfolio.
-Sentiment…-Developed a system that was able to analyze in near real-time the general sentiment of the financial markets as well as the general sentiment of specific equity products. The indexes and stocks analysed included (but not limited to) SPY, GOOG and JPM.
-Data was collected from The Guardian, The New York Times, USA Today and National Public Radio.
and stored using HDFS and Impala.
-MapReduce was used to convert news feed into a single metric used to construct a portfolio.
-Sentiment analysis was with the help of StanfordCoreNLP jar
Other creators -
-
Theory and Applications of Voronoi Diagrams in competitive facility location problem.
-
Worked on a theoretical analysis of Voronoi Games in 1D, 2D and graphs. Proved that a Voronoi Game on cycle graph always ends on a draw. Concurrently, we also proposed an improved algorithm for sensor network deployment in 2-dimensions(which is closely related to the problem of efficiently computing Voronoi diagrams in distributed environment).
Other creators -
Languages
-
Hindi
Full professional proficiency
-
French
Limited working proficiency
-
English
Full professional proficiency
Recommendations received
-
LinkedIn User
2 people have recommended Akshay
Join now to viewOther similar profiles
Explore more posts
-
Devon O'Rourke
On the latest episode of Embracing Erosion I sat down with Suyog Deshpande, Co-Founder & CEO of Webless (a Fluvio Ventures portfolio company). Before starting Webless, Suyog spent years at Amplitude, Salesforce, and Samsara - shaping products and GTM strategy at scale as a product marketing leader. That perspective is now fueling one of the boldest bets in tech: 🏗️ rebuilding the web for LLMs. Instead of optimizing for clicks and SEO, Webless imagines an agentic web -where sites are designed to interact directly with AI models and agents. We dug into: - What an LLM-native web could actually look like - How companies can prepare to be LLM-ready - What metrics will matter beyond pageviews and clicks - Why safety and trust are core to agent-driven experiences - Lessons Suyog brings from “big tech” into this transformation If you’re curious about how discovery, trust, and value exchange will evolve online, this one’s worth your time. Link to the full episode in the comments 👇
1 Comment -
SANTOS OJHA
🚀 Funding Update in the Indian Startup Ecosystem Mumbai-based Luma fertility, a tech-enabled fertility care startup, has successfully raised $4 million in seed funding, led by Peak XV Partners (via its Surge program), along with participation from notable investors like Ameera Shah (Metropolis Healthcare) and Vijay Taparia (B2V Ventures). Founded by Neha K Motwani, Luma Fertility is building a patient-first platform to offer end-to-end reproductive care—covering IVF, fertility assessments, egg freezing, at-home diagnostics, and more. The startup is leveraging technology and empathy to modernize fertility services in India. 📍 With a flagship clinic in Bandra West, Mumbai, Luma now aims to expand across multiple cities over the next two years. This is yet another sign of rising investor confidence in healthtech and femtech sectors in India. As a funding consultant, I closely track such movements and assist businesses in navigating their own equity and debt funding journeys. 📩 If you're a startup or growing company looking to raise capital or explore funding options, feel free to connect. #FundingNews #StartupFunding #SeedFunding #LumaFertility #PeakXV #HealthTech #FemTech #IndianStartups #Linkedin #techindia #healthcare
3 Comments -
ROHIT BAFNA
Accel, Blume, Celesta, Premji, and now NVIDIA and Qualcomm. They've formed a $1B+ coalition to fund Indian deeptech. 50+ companies. $110M deployed in under a year. Cross-border investing used to feel like a bet a few people were quietly making. Now the biggest names in the room are making it together. The founders building for both markets were right earlier than anyone gave them credit for. The only question worth asking now is whether you're in position. 888vc
6 Comments -
CA Harshita Kushwah
Excited to share this News, 888vc, Our Early-stage venture capital firm based in Bangalore, India has launched platfrom Gro8 backed by ₹175 crore (US$ 20M) fund to back startups focused on AI, deep tech, Enterprise SAAS and sustainability over the next three years. 💡 Key Focus Areas: 🔹 Average ticket size of ₹2–4 crores 🔹 Sector Agnostic Angel fund 🔹 Focus on globally scalable solutions 🔹 Launch of GRO8 angel platform for cross-border funding, mentorship & market access 📌 If you’re building in AI, deep-tech, or sustainability with ambitions to grow globally, let’s talk. Read more here: https://lnkd.in/gtUcYkrx #888vc #gro8 #venturecapital #angelinvestments #startups
7 Comments -
Indian Startup Times
Breaking: Fertility-tech startup Luma fertility raises $4M seed round led by Peak XV Partners Surge! Founded by Neha K Motwani (ex-Fitternity), Luma is reimagining how India experiences fertility care—combining tech, transparency, and empathy into a full-stack platform. From IVF and egg/embryo freezing to at-home semen testing and holistic services like nutrition, acupuncture, and IV therapy—Luma is building a truly end-to-end fertility experience. Their newly launched 6,000 sq ft tech-enabled flagship clinic in Bandra, Mumbai features: - An open lab design - IVF companion app with real-time reports - 24/7 AI assistant for guidance & medication support - Dedicated care teams for every patient With India’s fertility rate now below replacement and IVF demand projected to surge, Luma is eyeing expansion across cities and targeting urban millennials & Gen Z delaying parenthood. Investors in this round include: -Peak XV’s Surge -Ameera Shah (Metropolis Healthcare) -Vijay Taparia (B2V Ventures) Big moves in femtech. Big vision for India’s reproductive future. Read More: https://lnkd.in/dRkzsxPP #FertilityTech #LumaFertility #IVFIndia #Femtech #SeedFunding #StartupIndia #Healthtech #PeakXV #NehaMotwani #AIinHealthcare #IndianStartups #UrbanParenting #BandraClinic
-
Harsh Shah
India's healthtech just entered a new era. And it's not about treating illness anymore. It's about preventing it entirely. Welcome to Healthtech 2.0. The shift is happening right now - from episodic care (you get sick, you get treated) to continuous health optimization. Prevention. Longevity. Real-time monitoring. And both global giants and Indian startups are racing to own it. The global players are here: OpenAI launched ChatGPT Health in India. A conversational AI that integrates health trackers and manages medical records. Makes sense when you have one of the world's lowest doctor-to-population ratios. Apple brought Fitness+ after a 141% YoY surge in Apple Watch shipments in 2025. Whoop entered with their 5.0 wearable, targeting premium longevity-focused users. India isn't just a hardware market anymore. It's a services-led health opportunity. But the real story is what's being built locally: Temple - Founded by Deepinder Goyal. Building a device to monitor blood flow to the brain based on research about how gravity affects aging. Yeah, you read that right. Biopeak Health - Integrating cellular-level data and advanced imaging with AI for long-term health guidance. Sychedelic - A Gurugram startup doing neuro-modulation via smart headphones to improve sleep and focus. Plus wearable companies like Ultrahuman, Gabit, Noise, and FITTR expanding into smart rings - reducing friction for first-time health trackers. The challenge nobody's solved yet: The "Affluence Constraint." Most of this advanced hardware and AI-driven clinical tech is expensive. Really expensive. Right now, the addressable market is limited to affluent, urban consumers. Mass adoption isn't happening yet because economies of scale haven't kicked in. Why this matters: India has the talent, the ambition, and increasingly the capital to reimagine healthcare from first principles. But the big unlock will be making longevity-focused health accessible beyond the top 5%. When a smart ring costs less than a monthly gym membership. When AI health monitoring is as common as a fitness tracker. That's when Healthtech 2.0 becomes Healthtech for everyone. We're not there yet. But we're closer than we've ever been. #HealthTech #IndiaStartups #AIinHealthcare #Longevity #WearableTech
2 Comments -
Aditya Arora
pov: you’re asking if india is building the next chatgpt. short answer? probably not. and that’s okay. because the real value isn’t there. while silicon valley chases bigger models and parameters, indian builders are solving problems that actually need solving. a doctor managing 900 patients. a farmer waiting for advice in their own language. a founder dealing with regulations that don’t copy-paste from the west. this work isn’t glamorous. it’s vertical ai. and when constraints are part of the system, this is the only path that makes sense. look at the math. healthcare gaps keep growing. agriculture supports 42% of the workforce, with rising losses. vertical ai can unlock 25–50% of employee work value. generic platforms barely touch 1–5%. and it happens fast. weeks, not quarters. last year says a lot. 17 indic and vertical models. genai assistants grew 4x. services startups scaled 4.6x. yet we keep asking the wrong question. “can india build the next chatgpt?” the better one is simpler. can we build a few vertical ai companies that solve real problems and people are happy to pay for? you don’t need to own the foundation model. own the bridge between what models can do and what customers need. that’s the real advantage. and that’s where things get interesting…
26 Comments -
Bob Dyksen
Jyoti Bansal joins Mudassar Malik for the Season 4 premiere of The Builders Playbook to share an honest look at scaling without losing quality, speed, or accountability. They dig into Jyoti’s journey from engineer to founder, the investor question that pushed him to go all-in on AppDynamics, and the lessons he brings to building at Harness today. You’ll hear about: ✓ Turning one focused use case into a platform. ✓ Harness’s “startup within a startup” model. ✓ Why small, AI-enabled teams move faster. 🎧 If you’re building or scaling, this one’s packed with practical takeaways: https://lnkd.in/gFw-q9a6
-
Nikhil Krishnan
In Ayushi Sinha's "why AI radiology hasn't worked" post, one part that came up is how existing clinical data is extremely messy and distorted the documentation is optimized for billing, it's full of copy-paste notes that bloat everything, and there's lots of legal/hedging language You can still use it, but it requires way more work than you think because you need to understand what documentation is taken, how it gets stored, and what you need to do to fix it for the specific kind of analysis you want to do
3 Comments
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content