I work at the intersection of two things people usually keep separate: autonomous AI systems (agent orchestration, retrieval, LLM tooling) and the distributed backend infrastructure they run on (gRPC, event-driven services, multi-language SDKs, Kubernetes). I like building systems that do real engineering work — not demos.

• 🔭 At BrowserStack — multi-language SDK platform engineering and internal AI developer-tooling: agent-orchestrated automation, a knowledge-retrieval layer, a high-throughput version-compatibility service, and gRPC / event-driven services across Node, Python, Java, C#/.NET and Ruby.
• 🌱 Previously @ Wokelo AI (pre-seed, founding team) — pioneered chunked Retrieval-Augmented Generation over SEC earnings-call transcripts under a 16k-token constraint (before long-context models were common), plus NER / object-detection models and LLM fine-tuning. The MVP we built helped raise a $1.5M pre-seed.
• 💬 Ask me about LLM agents, RAG, distributed systems, and backend/SDK engineering.

• Fanbase — fan-first blockchain ticketing (Spotify OAuth + ERC-2981 resale caps + on-chain royalties). 7 partner prizes ($6000+), ETHIndia 2024.
• Judg3 — decentralized pairwise voting (Bradley-Terry) for tamper-proof ranking. Worldcoin Pool Prize, ETHGlobal Singapore 2024.
• LearnWise — full-stack AI study assistant (Llama 3, Gemini Vision, Groq).

Python · Java · C#/.NET · TypeScript · SQL · gRPC · Kafka · Redis · Elasticsearch · Docker · Kubernetes · PyTorch · LangChain · LLM agents · RAG · distributed systems

B.Tech, Information Technology (Hons. in Artificial Intelligence) — K. J. Somaiya College of Engineering, Somaiya Vidyavihar University · GPA 8.7/10