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 — 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 • Python • Go • Rust • C++ • Java
Frontend: React.js • Next.js • Node.js
Backend: Microservices • Apache Kafka • Docker • Redis
Databases: PostgreSQL • Qdrant (Vector DB) • Redis
ML & Search: Vector Embeddings • Semantic Search • Sentence Transformers
DevOps: AWS • CI/CD • Prometheus • Grafana
- Distributed systems architecture
- Vector embeddings and semantic search
- ML-powered search engines
- Performance optimization at scale
💡 Open to collaborating on distributed systems, search infrastructure, and ML engineering projects

