Apoorv Sahu

Data Scientist specializing in GenAI and agentic AI, with production experience in model deployment, validation, and MLOps. Built reproducible pipelines and automated validation workflows using MLflow, Docker, Kubernetes, and Cortex; implemented LLM-based solutions with RAG, embeddings, LangChain/LangGraph, and large language models. Focused on delivering reliable, scalable systems that move prototypes into production.

Data Scientist/Developer - Timespro - Mumbai, India

(2023-07 - 2024-08)

• Challenge: regression testing and model issues were delaying releases — Action: built automated test suites and ML model validation workflows integrated into CI/CD pipelines — Result: improved validation coverage and caught model issues earlier to increase release readiness.
• Challenge: inconsistent testing and defect turnaround — Action: led cross-functional triage with developers and product owners to standardize testing processes — Result: shortened defect turnaround, increased release stability, and produced repeatable validation practices for future releases.
• Challenge: need for scalable model serving and monitoring — Action: implemented model deployment and validation workflows using Cortex AI with automated health checks — Result: enabled scalable serving and continuous model validation.
• Challenge: dispersed feature data slowing training and reporting — Action: built data pipelines and analytics workflows on Snowflake to centralize feature data — Result: sped up model training and reporting.

Bachelor of Engineering - Computer Science - Chitkara University (2019-07 - 2023-06)