Production ML Systems
Building scalable machine learning pipelines from research to production, with expertise in model deployment and MLOps workflows.
Building scalable ML systems that drive real-world impact. 2+ years deploying production-grade models in semiconductor manufacturing, with expertise in deep learning, LLMs, and MLOps.
Specialized in building production-grade ML systems with deep domain knowledge in semiconductor manufacturing
Building scalable machine learning pipelines from research to production, with expertise in model deployment and MLOps workflows.
Deep statistical modeling and feature engineering expertise, with robust ETL workflows for complex data processing at scale.
Cutting-edge AI development with transformer architectures, large language models, and retrieval-augmented generation systems.
Showcasing technical innovation and measurable results
Engineered advanced regression models that revolutionized wafer measurement processes, while implementing AI-driven defect detection systems that significantly improved manufacturing quality control.
Built a comprehensive AI pipeline leveraging Large Language Models for entity extraction, integrated with Neo4j graph database and an intelligent QA system featuring natural language to Cypher translation.
Developed an autonomous LLM agent powered by GPT-4 and Retrieval-Augmented Generation, creating personalized cold email campaigns that significantly improved engagement rates.
Processed and analyzed 1.6 million consumer complaints using advanced NLP clustering techniques, redesigning complaint taxonomy and creating interactive dashboards for faster issue resolution.
Micron Technology
ByteDance
Master of Science in Business Analytics
GPA: 4.0/4.0 (Current)
Integrated B.Tech + M.Tech Chemical Engineering
GPA: 8.2/10 (2017-2022)
Looking for an AI-focused Data Scientist who can bridge the gap between research and production? Let's discuss how my experience in scalable ML systems and manufacturing optimization can drive impact for your team.