Summary
Vigneshwaran Santhalingam is a Senior Data Scientist based in Los Angeles with over six years of experience delivering production-grade ML and data engineering solutions across energy, finance, and medical research. He combines deep learning expertise (BERT, ViTs, YOLOv7) and GenAI/RAG prompt engineering with strong backend engineering—designing microservices, CI/CD pipelines, and Kubernetes-deployed model services. Notable achievements include automating stakeholder reporting with an LLM-driven dashboard generator and deploying camera-based edge-to-cloud emissions monitoring that eliminated manual flowmeter reads. He launched MLOps practices and human-in-the-loop active learning to accelerate model rollouts and maintain precision in dynamic environments. Comfortable prototyping with Flask/FastAPI and Docker, he pairs rigorous software engineering (unit tests, Git workflows) with a knack for translating complex models into clinician- and operator-friendly interfaces. Outside typical ML work, he has a track record of squeezing state-of-the-art performance from constrained models—matching SOTA brain-age results with 50% fewer parameters.
6 years of coding experience
9 years of employment as a software developer
Master's degree Machine Learning and Datascience, Master's degree Machine Learning and Datascience at University of Southern California
Bachelor of Engineering Instrumentation Technology/Technician, Bachelor of Engineering Instrumentation Technology/Technician at Madras Institute of Technology