Surya Prasath is a Senior Machine Learning Engineer based in Bengaluru with 9 years of experience building production-grade ML and GenAI systems across e‑commerce, healthcare, tax automation, and finance. He has led end-to-end projects—from data pipelines and model training to scalable deployment—delivering solutions such as prescription digitization, medicine image search, and automated NLP pipelines in Spark and PyTorch. At EPAM he designed LangChain and multi-agent RAG systems with AWS Bedrock and custom caching to drive fast, domain-specific stock market analytics, demonstrating a strong focus on agentic workflows and latency optimization. Comfortable across cloud platforms (AWS, GCP, SageMaker) and containerized GPU training, he combines deep learning, retrieval-augmented generation, and practical MLOps to harden GenAI services for production. Notably, he blends hands-on engineering with product-facing work—building UIs and explainability dashboards—so models are both performant and interpretable.
9 years of coding experience
7 years of employment as a software developer
High School, High School at Sri Sowdeswari Vidyalaya
Master of Science (MSc), Data Science, Master of Science (MSc), Data Science at PSG College of Technology
Contributions:39 commits, 15 pushes, 1 branch in 1 month
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