Professional Overview
Yash Chinawale is a results-driven AI & Data Engineer based in Pune, India, with 2 years of experience building production-grade AI systems and data pipelines across global industries. At KSB Limited — a pump manufacturer operating in 100+ countries — he has architected RAG chatbots, deployed customer-facing WhatsApp AI, and automated complex document workflows that replaced days of manual effort with real-time dashboards. Yash specializes in the full stack of modern data and AI engineering: from LangChain, FAISS, and LLMs to Airflow, Snowflake, Spark, and Databricks. He has shipped five systems into production, reduced LLM inference costs through intelligent query routing, and consistently delivered measurable business impact. A Computer Science graduate with a 9.55 CGPA, he also holds Maharashtra's highest sports honor — the Shiv Chhatrapati Award — and founded a speed skating academy scaling to 200+ athletes, reflecting the same execution mindset he brings to engineering.
Areas of Expertise
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
