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Location: Washington, DC Remote: Yes Willing to relocate: Yes Technologies: React, React Native, Node.js, TypeScript, Java, Spring Boot, PostgreSQL, PostGIS, pgvector, Redis, AWS, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD, Semantic Search, HNSW, Sentence-Transformers Résumé/CV:https://drive.google.com/file/d/1xZYNSVToSlxQSe3ffiXDXWn8YWO... Email: naveengali80@gmail.com

== I’m a full-stack software engineer and technical lead with 5+ years building production systems across consumer apps, geospatial platforms, and AI-powered search. I’m looking for full-time roles in full-stack engineering, platform engineering, geospatial/AI infrastructure, or product-minded engineering.

Past work: - Architected a 3.55M+ POI geospatial platform with sub-20ms query latency at 1M+ requests/month using Overture Maps, OpenStreetMap, H3, PostGIS, and pgvector. - Built D-GIX, a 3-layer semantic search system that lifted Recall@10 from 0.20 to 0.97 using Sentence-Transformers embeddings, temporal state machines, and HNSW indexing. - Cut infrastructure costs 98.7% and achieved a 24x indexing speedup by migrating to H3 hexagonal tiling with PostGIS, query optimization, and connection pooling. - Deployed and scaled the unified PostGIS/pgvector architecture on AWS EC2, sustaining 4,414 concurrent requests with 0% failure rate. - Led Landmarks, a gamified location-based app, from concept to public beta in 4 months with zero critical defects while coordinating 12 engineers across React Native and Node.js. - Migrated a Fortune 500 retail client’s React Native app from untyped JavaScript to strict TypeScript, converting 150K+ lines with zero breaking changes. - Engineered Java Spring Boot microservices processing 50K+ daily transactions at 99.9% uptime, plus a GraphQL API layer that cut payload over-fetching 40%. - Built a real-time WebSocket + Redis pub/sub notification system that cut alert latency from minutes to under 2 seconds.

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