Full Stack Engineer building scalable systems at Enso | IIIT Jabalpur '24
I build high-performance distributed systems and AI-powered applications. Currently improving contract parsing accuracy with vector embeddings and semantic search at Enso.
Recent highlights:
- Engineered SneakDex β a production-grade distributed search engine indexing 80K+ documents with sub-second latencies
- Built microservices architecture with Go, Rust, and Python orchestrated via Kafka
- Implemented hybrid search combining vector DB and full-text search with 80%+ cache hit rates
Languages: TypeScript/JavaScript β’ Python β’ Go β’ Rust β’ C++ β’ Java
Frontend: React.js β’ Next.js β’ Node.js
Backend: Microservices β’ Apache Kafka β’ Docker β’ Redis
Databases: PostgreSQL β’ Qdrant (Vector DB) β’ Redis
ML & Search: Vector Embeddings β’ Semantic Search β’ Sentence Transformers
DevOps: AWS β’ CI/CD β’ Prometheus β’ Grafana
- Distributed systems architecture
- Vector embeddings and semantic search
- ML-powered search engines
- Performance optimization at scale
π‘ Open to collaborating on distributed systems, search infrastructure, and ML engineering projects

