Senior backend engineer focused on distributed systems, data platforms, and geospatial infrastructure.
I build production systems that move, index, query, and serve large datasets reliably. Most of my recent work has been in climate risk technology: backend APIs, distributed processing workflows, PostGIS-heavy data infrastructure, and AWS operations for enterprise geospatial products.
Based in Navi Mumbai, India. Currently working at Intensel.
- Backend services and APIs with Python, FastAPI, Django, Rust, Axum, and Go.
- Distributed job systems using RabbitMQ, Dask, async workers, retries, scheduling, and observability.
- Geospatial data platforms with PostgreSQL, PostGIS, Redis, DuckDB, AWS S3, MapServer, and Mapbox.
- Performance work across database indexes, query plans, caching, API latency, and high-volume ingestion.
- Production infrastructure on AWS, Docker, Linux, CI/CD, CloudWatch, and structured logging.
I am currently going deeper on distributed systems design: consistency models, partitioning strategies, data-intensive applications, and operational reliability. I care about systems that are simple enough to operate, fast enough to scale, and observable enough to debug under pressure.
Climate Risk Platform
Backend and geospatial infrastructure for an enterprise platform that helps businesses understand and manage climate risk across regions. The work includes scalable APIs, distributed workflows, spatial analytics, and interactive mapping systems.
Global Building Footprints
Ingestion and query infrastructure for 2.3B+ building records across 1.8 TB+ of indexed geospatial data, optimized for sub-second spatial analytics workflows.
Map Tile Service
Authenticated raster tile delivery for terabyte-scale datasets using MapServer, FastAPI, caching, and Mapbox-based clients.
RediServe
An async HTTP API for Redis built with Rust, Axum, and Tokio, focused on low-latency request handling and connection pooling.
Languages: Python, Rust, Go, JavaScript, TypeScript, SQL
Backend: FastAPI, Django, Axum, REST APIs, async services
Data: PostgreSQL, PostGIS, Redis, DuckDB, AWS S3, MapServer
Infrastructure: AWS, Docker, Linux, CI/CD, CloudWatch
Systems: distributed processing, message queues, caching, indexing, observability