At Siemens Energy, I simulated a five-PLC energy system for standardized real-time data acquisition and built a Python OPC UA client-server with server-side timestamping for sub-second telemetry.
I replaced flat-file logging with PostgreSQL and SQLite time-series storage, then designed Grafana and Power BI dashboards for real-time trends and threshold alerts used in production BESS systems. I also layered LSTM forecasting on historian data to predict breaches and support predictive maintenance.
On GestureBridge, I built a real-time sign language recognition project using MediaPipe Holistic keypoints and a stacked LSTM. It achieved 95% classification accuracy across 12 gesture classes on a self-curated dataset, with live inference and probability-bar visualizations.
I also built WatchWise, a movie recommendation app that uses NLP, Bag-of-Words vectorization, and cosine similarity to recommend films from metadata. I’m studying Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad and hold the AWS Certified Cloud Practitioner certification.
