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Yash Namdeo Nikhare
Mid-level Machine Learning Engineer specializing in data security and GenAI systems
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About
Built Hexagon’s production Text-to-CAD Copilot that converts text and rough sketches into editable CAD code, combining GraphRAG (Neo4j/LangChain) with a Gemini-powered vision module and multi-agent geometric validation—cutting manual modeling from a day to ~45 seconds and driving retrieval latency below 50ms. Also has large-scale GCP data/ML orchestration experience (Airflow/Cloud Composer, Dataflow, Pub/Sub, Snowflake) processing 50M+ daily records with drift monitoring and automated reliability controls.
Experience
Education
Key Strengths
- Built and deployed production Text-to-CAD copilot reducing CAD modeling from a full day to ~45 seconds
- Designed low-latency hybrid retrieval (GraphRAG + re-ranking) achieving sub-50ms retrieval
- Implemented multi-agent validation pipeline to improve geometric accuracy and produce syntax-error-free CAD code
- Scaled orchestration/ETL workflows processing 50M+ daily records using Airflow/Cloud Composer and Pub/Sub
- Reliability engineering for AI/data workflows: staging validation, unit/integration tests, monitoring, automated recovery, drift tracking
- Effective collaboration with non-technical mechanical design engineers; translated real-world design constraints into AI workflows and UI
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