Pradeep Pujari
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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
CVS Health
Principal NLP Engineer
April 1, 2021 – October 1, 2021
Remote · Remote
Meta
Research Scientist-AI optimization
April 1, 2021 – January 1, 2022
Menlo Park CA · 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
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Data Science Specialization
Coursera Course Certificates
June 24, 2026 – Present
Artificial Intelligence Nanodegree and Specializations
Udacity
June 24, 2026 – Present
Intro to Deep Learning
Kaggle
June 24, 2026 – Present
Feature Engineering
Kaggle
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Intermediate Machine Learning
Kaggle
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
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
Intel® Edge AI Scholarship Foundation Course
Udacity
June 24, 2026 – Present
Machine Learning Engineer NanoDegree
Udacity
June 24, 2026 – Present
Intro to Machine Learning
Udacity
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Robotics Software Engineer
Udacity
June 24, 2026 – Present
XCS234 - Reinforcement Learning
Stanford Online
June 24, 2026 – Present
Intro to Machine Learning
Kaggle
June 24, 2026 – Present
Certificate of Merit in National Physics Olympiad
Indian Institute of Technology, Bombay
June 24, 2026 – Present
Artificial Intelligence
Stanford Online
June 24, 2026 – Present
Advanced Large Language Model Agents
University of California, Berkeley
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Large Language Model Agents
University of California, Berkeley
June 24, 2026 – Present
MCP Fundamentals
Hugging Face
June 24, 2026 – Present
Natural Language Processing
Kaggle
June 24, 2026 – Present
Computer Vision
Kaggle
June 24, 2026 – Present
Artificial Intelligence: Natural Language Understanding
Stanford Online
June 24, 2026 – Present
XCS224W - Machine Learning with Graphs
Stanford Online
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.