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Anupam Panwar

AI Researcher

San Francisco, California, United States13 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 10+ years of experience in Data Science and Software Development
  • Led innovative ML projects at Walmart and Yahoo
  • Senior Member of IEEE with a strong academic background
Stackforce AI infers this person is a Data Science and Machine Learning expert with a strong background in E-commerce and Fintech.

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Skills

Core Skills

Machine LearningSoftware DevelopmentSearch RankingData AnalysisBig DataApplication Development

Other Skills

RerankingML TrainingSignal PipelinesMicroservicesSearch AlgorithmsExperimentationJenkinsHivePySparkStock RecommendationClassificationConvolution Neural NetworksSpark MLlibData MiningAnalytics Platform

About

Result-oriented Data Science Professional having experience in both Software Development and Machine Learning. 10+ years of industrial experience in these fields. Right now, I am working with Apple on challenging problems related to Software Development and Machine Learning.

Experience

13 yrs 4 mos
Total Experience
2 yrs 2 mos
Average Tenure
5 yrs 4 mos
Current Experience

Apple

Machine Learning & Engineering

Jan 2021Present · 5 yrs 4 mos · Cupertino, California, United States

Machine LearningSoftware Development

Walmart global tech

ML Lead, Search Ranking

Jan 2019Jan 2021 · 2 yrs · San Francisco Bay Area

  • I had the privilege of serving as Research Lead and Founding ML Engineer for Walmart.com’s Reranking Team, driving innovation in search ranking algorithms that contributed to $XXXM+ in revenue impact.
  • Invented the Rerank Micro Service (RMS) — Walmart’s first microservice architecture for reranking, enabling scalable, high-performance ranking workflows.
  • Designed and experimented with Learning-To-Rank (LeToR) models and features such as larger recall set reranking experiments and embedding-based semantic matching between query and item descriptions, significantly improving ranking relevance and search experience.
  • Built and automated ML training and signal pipelines using Jenkins, Hive, and PySpark, streamlining model development and deployment.
  • Mentored 7+ new team members, enhancing onboarding efficiency and strengthening the team’s capabilities.
Machine LearningSearch RankingRerankingML TrainingSignal Pipelines

Yahoo

Senior Machine Learning Engineer

Jan 2017Jan 2019 · 2 yrs · San Francisco Bay Area

  • Yahoo! Finance Team
  • Team Lead for Design and Implementation of implicit feedback based Stock Recommendation System based on page visits using Spark MLlib. System provides recommendations to more than 1M+ users every day.
  • Built Credibility Score System (CCS) to provide score (0-100) to different stock analysts based on their successes and failures of past ratings.
  • Yahoo! Mail Information Extraction Team
  • Trained and Productionized Hierarchical Classifier (HC) based on Google Product Taxonomy (GPT) for classification of coupon and order emails into different GPT categories. System classifies 100M+ emails/day.
  • Led Design and Implementation of Resource as a Service (RaaS) which allows
  • production systems to fetch Machine Learning (ML) models in real-time. Currently, it is used
  • by the backend systems of Yahoo! Mail.
  • Designed and Implemented Event Classifier System using Convolution Neural Network (CNN) for classifying school event emails in Yahoo! Mail.
  • Technology and Languages Used : Hadoop, HDFS, Spark, Hive, Pig, Oozie, Java, Python, Tensorflow, Scikit-learn, numpy, MySQL, Amazon S3, Jenkins.
Machine LearningStock RecommendationClassificationConvolution Neural NetworksData Analysis

Goldman sachs

Software Engineer Intern

Jan 2016Jan 2016 · 0 mo · New York City Metropolitan Area

Arizona state university

Machine Learning Engineer

Jan 2015Jan 2017 · 2 yrs · Tempe, Arizona

  • Designing and implementing an Analytics Platform(Threat Intelligence Analytics) for analyzing and collaborating data from different security data Feeds.
  • Goal of the project is to find correlation between data coming from different data sources. We are using Data Mining and Machine learning techniques to find these correlations.
  • Tools Used : Django Framework, Python, Restful APIs, Java, MongoDB.
Data MiningMachine LearningAnalytics PlatformData Analysis

Symantec

Software Engineer

Jan 2014Jan 2015 · 1 yr · Bangalore(Karnataka)

  • Worked with Symantec Corporation, as a Big Data Security Analyst. I was responsible for capturing incident vectors from Intrusion Detection Systems and End Point Protection Products, storing them in proprietary format in HBase and classification of malicious activities using Data Mining and Machine Learning techniques.
  • Technologies and Languages Used: Java Spring, IBM InfoSphere Streams, Hadoop, Machine Learning, Hive, Java, R.
Big DataData MiningMachine LearningData Analysis

Emc

Software Engineer

Jan 2013Jan 2014 · 1 yr · Bangalore

  • Worked on EMC's enterprise management tool Documentum and XCP(xCelerated Composition Platform) for creating next generation web applications. Project was RCP (Rich Client Platform) based project and the task was to add a new feature which will help the user to make applications on the tool in an optimal way and to create diagnostics report of the application built.
  • Skill Required: Eclipse RCP, Eclipse Modelling Framework, JAXB APIs, DOM APIs.
  • Language Used: Java, XML, XSL.
  • Worked on EMC Documentum Mobile 1.2.4 iOS App release. Took the full responsibility of the work. Right from Testing environment setup, Running test cases, Bugs fixing to Security scan. Checked compatibility of the app with different Content Server versions. Certified for iOS 7 version. Awarded Bronze Award in the Value Creation category for Q1 2014.
  • Skill Required: Xcode, IntelliJ, Vcloud director, Documentum, Restful services.
  • Language Used: Objective C, Java, XML, XSL.
JavaEclipseMobile ApplicationsSoftware DevelopmentApplication Development

Education

Stanford University

Artificial Intelligence Professional Program

Sep 2025Sep 2026

Arizona State University

Master of Science (M.S.) — Computer Science

Jan 2015Jan 2017

Indian Institute of Technology, Delhi

B.Tech + M.Tech integrated (5 year) — Mathematics and Computer Science

Jan 2008Jan 2013

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