Aniket Chopade

Developed and modernized FastAPI-based microservices on AWS and SQL, enabling secure, scalable storage and fault-tolerant alerting for 3,000+ IoT sensors; engineered real-time processing pipelines handling 5,200 signals/second and ingested 300,000+ logs, achieving <500 ms latency for dashboards and telemetry compliance; implemented anomaly detection and predictive maintenance pipelines using Python, XGBoost, and NLP, analyzing 52,000+ logs to prioritize alerts and reduce downtime; optimized API performance with Python memoization, enhancing 600+ daily notifications and reducing debug time by 20%.

Led development of cloud-native microservices and dashboards, building MERN stack applications with Next.js on AWS, delivering secure, scalable RESTful APIs and real-time telemetry dashboards. Improved data processing reliability for 3,000+ IoT sensors and enhanced overall system performance.

Developed and modernized FastAPI-based microservices on AWS and SQL, enabling secure, scalable storage and fault-tolerant alerting for 3,000+ IoT sensors. Engineered real-time processing pipelines handling 5,200 signals/second and ingested 300,000+ logs, achieving sub-500 ms latency for dashboards and telemetry. Implemented anomaly detection and predictive maintenance pipelines using Python, XGBoost, and NLP; deployed on AWS EC2; improved profiling efficiency and system reliability.