Available to hire
I am a results-driven machine learning leader with a decade of experience building and scaling AI-powered systems. I have led cross-functional teams to deliver pricing optimization, multilingual NLU, and content automation at scale, driving measurable business impact.
My work spans from hands-on model development to strategic roadmapping and people leadership. I enjoy mentoring teams, partnering with product and marketing groups, and exploring responsible, scalable Gen AI solutions that align with business goals.
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Work Experience
Associate Director / Staff Machine Learning Engineer at Chewy
October 1, 2025 - October 1, 2025Built and scaled an 8-member ML team of engineers and scientists; defined technical roadmaps and operational planning for Gen AI adoption. Developed AI agents based on GPT models to solve goal-oriented pricing use cases using chain-of-thought prompting, tools, few-shot examples, and knowledge bases. Led cross-org marketing, search and product teams to build LLM-based Gen AI applications for product content transformation and SEO optimization on product display pages. Deployed a fully automated solution using Docker, SageMaker, and Jenkins, delivering scalable tooling and saving $160K/year. Architected and productionized RL-based dynamic pricing delivering +$1.5M profit and +$7M in annual sales; championed company-wide RL pricing adoption. Designed Opportunistic Price Reduction ML framework to identify price adjustments and maximize new customer acquisition with minimal margin impact. Led development of an attribute extraction system using NLP/LLMs increasing product coverage to 100% an
Applied Scientist 2 at Amazon
June 1, 2022 - June 1, 2022Led a team of 3 scientists to build ML models improving upsell and buying experience via voice; launched dozens of experiments with KPI tracking and sub-200ms production latency. Led a 6-member team to design, train, and evaluate Alexa NLU models from Beta to launch readiness across markets (India, UK, Italy), handling sparse data, synthetic data generation and architecture selection. Optimized data collection and resource allocation across three languages, building a predictive model to quantify data needs for language development and reducing marketplace/language costs by ~$500K. Pioneered multilingual Alexa speech/NLU research, improving domain classification, intent classification and entity recognition through BERT embeddings and data mixing, achieving ~25% performance lift.
Assistant System Engineer at TATA Consultancy Services
December 1, 2015 - December 1, 2015Developed various web applications for telecom customers using JAVA Struts; delivered online services (mobile data usage, recharges, bill payments) and reduced inquiry calls to representatives by 50%.
Education
Master of Science in Business Analytics at The University of Connecticut
January 11, 2030 - April 1, 2017Bachelor of Technology in Electronics and Instrumentation Engineering at VNR VJIET
January 11, 2030 - June 1, 2014Qualifications
Industry Experience
Software & Internet, Professional Services, Retail
Skills
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Expert
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