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I build enterprise AI products that turn complex research and data workflows into tools people actually want to use. My edge: I was a software engineer first - 2 years building real-time analytics platforms and trading tools. That means I don't just write requirements and hope for the best. I understand what's feasible, where the technical risk lives, and how to have real conversations with the teams building the thing. Now I work at the intersection of LLMs, RAG, agentic workflows, and enterprise product delivery - shipping secure, compliant B2B solutions with measurable outcomes. |
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| Β | What changed | How |
|---|---|---|
| π | 60% faster time-to-insight for end users | LLM-powered automation of high-frequency research workflows |
| β±οΈ | 12 hours β under 2 hours on critical workflows | AI agents handling data-intensive manual tasks end-to-end |
| π | 60% reduction in manual research effort | Agentic RAG pipelines replacing repetitive analyst work |
| π | 25% efficiency gain across teams | Research technology enhancements across cross-functional delivery |
| βοΈ | 40% platform performance boost | Optimised caching, API architecture, and data-fetching strategies |
| π₯ | 8,000+ enterprise users served | Multi-agent GenAI platform featured by NVIDIA |
AI / ML
Product
Technical
πΊοΈ Vibe Route Β
AI-powered walking route comparison that scores routes by how they feel β not just how fast they are. Built with LLM scoring, DBSCAN clustering, and NLP sentiment pipelines.
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πΊ Blind Spot Β
Surfaces filter bubbles in Netflix viewing behaviour using cosine similarity, content-based filtering, and the Herfindahl index to measure recommendation diversity.
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"The best AI products don't feel like AI. They feel like someone finally understood the problem."
Ship small, learn fast, kill what's not working β and have the courage to say so.
| I believe | I don't believe |
|---|---|
| π― The user's real problem > the stated requirement | π« AI is a solution looking for a problem |
| π A good PRD saves 10x the engineering time | π« Moving fast means skipping clarity |
| π Talking to users is never optional | π« Internal proxies understand end users |
| π‘οΈ Security and compliance aren't afterthoughts | π« You can bolt guardrails on later |
| π If you can't measure it, you didn't ship it | π« Adoption is someone else's problem |
I don't believe in building features nobody asked for. For me, AI isn't the product β it's the 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.