Name: Aashi Thakkar
Role: Product Manager — Alternative Data, Gen AI & Research Technology
Focus: LLMs · AI Agents · RAG Systems · Data Platforms
Education: Masters in Applied Computing | B.E. in Computer Engineering
Mindset: "Went from writing code to deciding what code gets written — turns out the second one is harder."I'm a Product Manager who lives at the crossroads of Alternative Data, Generative AI, and Research Technology — figuring out how to turn complex AI/ML capabilities into products people actually want to use. I spend my days shaping LLM-powered research tools, RAG pipelines, and data platforms that serve real workflows at scale.
Before I moved to product, I was an engineer — building complex analytics web applications. That background means I don't just hand off specs and hope for the best. I dig into the systems, understand the trade-offs, and have real conversations with the teams building the thing.
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| Metric | Impact |
|---|---|
| 🧠 Manual research effort reduced | 30% via GenAI automation |
| ⚙️ Workflow efficiency improved | 25% through research tech enhancements |
| 🚀 Delivery timelines accelerated | 20% with refined PRDs & AI system design |
| 📈 Platform performance boosted | 40% via optimized caching & data strategies |
| 🎯 Feature adoption increased | 15% with scalable, responsive UI components |
AI / ML
Languages & Frameworks
Product & Analytics
Databases
I don't believe in building features nobody asked for. The best products come from sitting with users long enough to understand what they're actually struggling with — not what they say they want in a meeting.
For me, AI isn't the product. It's a tool. The product is the problem you're solving and how seamlessly you solve it. If the user has to think about the AI, you've already lost.
Ship small, measure honestly, and have the guts to kill things that aren't working.
Always up for good conversations about Data and AI product strategy, or just nerding out about how to build better research tools.
