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AI Researcher, Author, NLP ML Neural IR Engineer, Founder TensorHealth - Medical AI News, Research Highlights & Industry Trends, ex-Meta, ex-WalmartLabs
AI/ML engineer with 20+ years building search, retrieval, and machine learning systems at scale — from contributing geohash-based spatial indexing to Apache Lucene in the early days of open-source search, to designing LLM-powered products today. My current work sits at the intersection of LLMs and software engineering: retrieval-augmented generation (RAG), agentic pipelines, post-training, and evaluation frameworks. I've shipped ML and search systems infrastructure at Meta, Walmart Labs, CVS Health, and ServiceNow, and I contribute to open research on LLM alignment, interpretability and red-teaming with EleutherAI. Beyond my day job, I build and write: RegLib — a formally verified compliance engine for capital markets (Lean 4) Prism — an AI visibility tracker measuring how brands surface in LLM responses Two newsletters: Agents All You Need (agentsallyouneed.substack.com) and TensorHealth (tensorhealth.substack.com) Co-author of Practical Convolutional Neural Networks (Packt, 2018) Core strengths: Information Retrieval, NLP, Language Model, Agentic LLM, LLM applications and evaluation, distributed systems. Proficient in Python, Java, Unix internals, SQL/NoSQL. I'm drawn to hard problems where rigorous engineering meets emerging AI capabilities — and to teams that care about getting the details right.
Stanford University
Stanford Center for Professional Development, Natural Language Processing NLP: CS224N, Convolutional Neural Networks for Visual Recognition CS231n
January 1, 2009 – January 1, 2009
Motilal Nehru National Institute Of Technology
Masters, Computer Science, Automata Theory, Operations Research
January 1, 1985 – January 1, 1988
Berhampur University
B.Sc.(Hons.), Physics, Math, Chemistry and English
January 1, 1982 – January 1, 1985
Berhampur University
+2 Science, Math, Physics, Chemistry, English and Geology
January 1, 1979 – January 1, 1981
iSonic.ai
Member of the Board of Advisors
April 1, 2026 – Present
Palo Alto, CA · Hybrid
DICK'S Sporting Goods
Senior AI/ML Engineer
June 1, 2025 – Present
Remote · Remote
EleutherAI
AI Research Scientist
May 1, 2025 – Present
San Francisco Bay Area · Remote
Kaiser Permanente
GenAI Engineer
March 1, 2022 – May 1, 2025
San Francisco Bay Area · Remote
Meta
Research Scientist-AI optimization
April 1, 2021 – January 1, 2022
Menlo Park CA · Remote
CVS Health
Principal NLP Engineer
April 1, 2021 – October 1, 2021
Remote · Remote
Oto Analytics, Inc
Principal Machine Learning Engineer
September 1, 2020 – March 1, 2021
Remote · Remote
ServiceNow
Machine Learning Architect - Search Team
February 1, 2020 – September 1, 2020
San Francisco Bay Area · Remote
Kohl's
Senior Machine Learning Research Engineer - Kohl's Innovation Lab
January 1, 2018 – July 1, 2020
San Francisco Bay Area · On-site
Udacity
Mentor and Code Reviewer - School of AI
January 1, 2017 – January 1, 2022
San Francisco Bay Area · Remote
WalmartLabs
Staff Machine Learning Engineer
May 1, 2015 – September 1, 2017
San Francisco Bay Area · On-site
ReadMe Systems Inc
Technical Consultant
May 1, 2014 – May 1, 2015
San Francisco Bay Area
Acxiom
Expert Principal Architect
April 1, 2014 – April 1, 2015
San Francisco Bay Area
Angie's List
Senior Software Architect - Search and Recommendation Engine
April 1, 2012 – March 1, 2014
Palo Alto, CA · On-site
Walmart eCommerce
Staff Software Engineer
June 1, 2010 – March 1, 2012
San Bruno, San Francisco Bay Area · On-site
Macy's.com
Senior Software Engineer - Search and Recommendation
May 1, 2001 – June 1, 2010
San Francisco Bay Area · On-site
Tata Consultancy Services
Associate consultant
January 1, 1994 – January 1, 2001
Pune Area, India
Bajaj Auto Ltd
Officer (MIS)
September 1, 1991 – March 1, 1994
Pune Area, India
ITI Ltd.
Software Engineer
August 1, 1989 – August 1, 1991
Lucknow Area, India
Intro to Deep Learning
Kaggle
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
Intro to Machine Learning
Udacity
June 24, 2026 – Present
Data Science Specialization
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Engineer NanoDegree
Udacity
June 24, 2026 – Present
Artificial Intelligence Nanodegree and Specializations
Udacity
June 24, 2026 – Present
Intel® Edge AI Scholarship Foundation Course
Udacity
June 24, 2026 – Present
Intermediate Machine Learning
Kaggle
June 24, 2026 – Present
Feature Engineering
Kaggle
June 24, 2026 – Present
Advanced Large Language Model Agents
University of California, Berkeley
June 24, 2026 – Present
Natural Language Processing
Kaggle
June 24, 2026 – Present
Computer Vision
Kaggle
June 24, 2026 – Present
Robotics Software Engineer
Udacity
June 24, 2026 – Present
Artificial Intelligence: Natural Language Understanding
Stanford Online
June 24, 2026 – Present
Intro to Machine Learning
Kaggle
June 24, 2026 – Present
XCS234 - Reinforcement Learning
Stanford Online
June 24, 2026 – Present
Certificate of Merit in National Physics Olympiad
Indian Institute of Technology, Bombay
June 24, 2026 – Present
XCS224W - Machine Learning with Graphs
Stanford Online
June 24, 2026 – Present
Artificial Intelligence
Stanford Online
June 24, 2026 – Present
Large Language Model Agents
University of California, Berkeley
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
MCP Fundamentals
Hugging Face
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from e-commerce to healthcare and AI research, indicates adaptability and a broad interest in applying AI/ML across different domains. Their involvement with EleutherAI and Udacity as a mentor suggests a commitment to continuous learning and contributing to the broader AI community. The long tenure in various roles, including senior and principal positions, demonstrates a capacity for sustained contribution and growth. The target role of Computer Vision aligns well with their recent and past experiences in visual recognition and deep learning.
Soft Skills & Operational Fit
The candidate's extensive experience across various companies and roles, including advisory and mentorship positions, suggests strong leadership, collaboration, and problem-solving skills. Their work on optimizing models for performance and integrating new hardware indicates a practical, results-oriented approach. The descriptions of their work imply an ability to translate complex technical concepts into actionable solutions.