I build reliable software, scalable data systems, and practical intelligent products.
I'm a software engineer interested in the systems behind useful products—from the interface people touch to the data and services that keep everything reliable.
My experience spans healthcare technology, geospatial products, and large-scale data platforms. Most recently, I built automated pipelines for wearable sensor data at Lifespark Technologies. Before that, I worked on geospatial APIs at UNISERVED and high-volume ETL systems at Jio Platforms.
I enjoy moving between Python, JavaScript, backend APIs, data engineering, and applied machine learning—whatever helps turn a complex problem into a clear, dependable product.
JAN — APR 2026
Built an automated patient-data pipeline that turned wearable sensor readings into consistent, analysis-ready datasets. Added signal filtering, normalization, and configurable validation to reduce manual preprocessing and improve data quality.
AUG — NOV 2024
Developed a Django geospatial system for more than 150,000 Indian pincodes. Built a proximity API using Haversine distance and automated nearby-pincode storage, reducing manual lookup effort by 85%.
MAY — JUL 2024
Optimized large-scale Spark and Hive ETL workflows, cutting execution time by 30%. Developed PySpark jobs processing over one million daily records and automated scheduling and monitoring with Airflow.
A privacy-focused intelligent assistant for automating everyday tasks, with real-time responses and a modular web architecture.
A conversational discovery tool that uses retrieval-augmented generation to understand context and recommend relevant books.
A research-driven short-option strategy combining engineered technical signals, predictive modelling, and end-to-end backtesting.
WHAT'S NEXT?
I'm always interested in thoughtful engineering work and conversations with people building ambitious products.
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