Senior Machine Learning Engineer
Current- Led the design and development of multiple end-to-end machine learning systems from concept to deployment using PyTorch, Tensorflow, Scikit-Learn, ONNX, TFLite. - Deployed ML models and inference pipelines on servers and embedded systems.- Used PyTorch, OpenCV, and PostgreSQL to create a computer vision (object detection) based automatic labeling pipeline to reduce data labelling costs for training supervised machine learning models.- Designed and implemented data ingestion pipelines utilizing Dagster (Airflow alternative), TimescaleDB, Grafana, and cloud Linux VMs- Performed comprehensive data analyses using pandas, SQL, and matplotlib to evaluate hypotheses, perform feasibility studies, validate models, and explore state of the art model architectures and techniques.