Vishrut Ghotge

Machine Learning and AI Engineer with hands-on experience building and evaluating LLM-powered RAG pipelines, agentic AI systems, and production MLOps infrastructure. Proficient in LangChain, LangGraph, PyTorch, scikit-learn, FastAPI, Docker, and AWS. Track record of training and evaluating models, deploying via CI/CD, and monitoring systems in production using MLflow and Prometheus/Grafana.

Engineer - Python Automation and Hardware Validation - Tata Elxsi - Bangalore, India

(2025-06)

Client: Qualcomm (5G Modem Hardware Validation)

• Built 30+ Python automation scripts for 5G modem hardware validation, automating 200+ test cases and cutting manual engineering effort ~60%
• Implemented pattern-based anomaly detection in test-failure log triage across a global device pool, cutting debugging turnaround time; applied production engineering discipline (error handling, structured logging, CI scheduling) transferable to MLOps workflows

BE - Information Science and Engineering - KLS Gogte Institute of Technology, Belgaum (2024)