Summary
Eshaan Kirpal is a Machine Learning Engineer with eight years of hands-on experience building production-ready ML systems across fintech, networking, and industrial IoT. He has delivered fraud-detection and privacy-preserving federated learning solutions, productionized forecasting and anomaly-detection models at Cisco, and established MLOps pipelines using MLflow, DVC, Docker and Streamlit. His background in electrical engineering and field experience as an electronic technician give him a practical edge in sensor data, embedded systems, and edge-to-cloud integrations. Comfortable moving models from research to microservices, he also mentors and teaches—having consulted at NC State Libraries and run workshops on Kaggle-style ensemble techniques. Now based in Noida and working at Infosys, he blends cross-domain systems thinking with a strong focus on operational robustness and data privacy.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at North Carolina State University
B.E (Hons) Electrical & Electronics; Physics Chemistry Mathematics Electrical Sciences Computer Programming, B.E (Hons) Electrical & Electronics; Physics Chemistry Mathematics Electrical Sciences Computer Programming at BITS Pilani - Dubai
English, Hindi, Spanish, Telugu