Building scalable healthcare data infrastructure, optimizing cloud systems, and improving data ingestion pipelines

Engineered a graph-based ranking system to rank open-source projects across several package managers, reducing computation time by 75% and cutting EC2 costs by 50%.

Built a machine learning model with 98% accuracy to detect spam OSS packages, automating the removal of 340K+ packages.

Designed and deployed a serverless data platform (AWS Lambda, SQS, S3, Glue, RDS) that processed 3M+ data points daily, reducing processing time by 50%.

Developed high-performance REST APIs serving 100K+ users daily, improving data access speed by 25%.

Built a real-time change data capture system (Debezium + Kafka), saving $20K annually and improving data sync

Developed a FastAPI-based Python microservice handling 10K+ requests daily, maintaining 99%+ success rate

Led development of a tenant survey sent to 5K+ users, achieving a 70% response rate for real-time insights

Architected a scalable ETL pipeline for Snowflake, enabling multi-source data integration

Built a SQL-powered dynamic dashboard in Excel to visualize stock data, improving financial analysis