Summary
Yash Upadhyay is a founding engineer and senior AI practitioner with nine years of experience building production-grade, agentic AI systems and scalable data pipelines from Bengaluru. He has a strong track record of turning experimental LLM demos into reliable production services—designing retrieval, memory, orchestration, and CI/CD-backed deployment workflows for recruitment, energy, and enterprise automation. Yash combines deep ML engineering (embeddings, forecasting, LSTM/CatBoost/Prophet, anomaly detection) with full-stack delivery—FastAPI/Node.js backends, React/React Native frontends, TimescaleDB/BigQuery, and GCP/Terraform deployments. He specializes in agentic workflows, prompt-driven development, and multi-model validation to accelerate prototyping while preserving architectural rigor in performance-critical paths. Notably, he led a landslide-prediction project at DRDO achieving >90% accuracy and has repeatedly built OCR-to-structured-data pipelines and high-throughput PDF ingestion systems for energy analytics. Pragmatic and product-focused, he knows when to trust AI-generated code and when to engineer solutions from first principles.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at CHANDIGARH UNIVERSITY