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Shubham Chhapolika

Lead AI Engineer @ Rockwell Automation | Generative AI, Agentic AI & LLM Solutions | Full Stack Data Scientist | AWS & Azure Cloud Specialist

Pune District

9+ years of work experience

Rockwell Automation
Dec 20259 mosPresent

Pune District, Maharashtra, India

eInfochips (An Arrow Company)
May 20258 mosDec 2025

On-site

> Designed and implemented an AutoML pipeline using SageMaker Studio, deploying the model via a SageMaker endpoint to enable automated machine learning capabilities > Leveraged OpenAI API to create a custom GenAI-powered chatbot for Arrow data, enhancing user interaction, enabling contextual Q&A, and improving data accessibility > Developed LLM-powered automation pipelines using AWS Bedrock, integrating Generative AI into data reporting and recommendation workflows. > Acting as a dedicated mentor within the team, offering guidance and support, resolving technical challenges, and fostering skill growth—resulting in increased overall productivity
eInfochips (An Arrow Company)
Feb 20232 yrs 4 mosMay 2025

Hybrid

> Automated the conversion of HTML reports to PDF format, reducing manual hours by 80%, and seamlessly deployed them on AWS. > Crafted an analytics deployment package on AWS, encompassing all preprocessing steps, resulting in a 30% reduction in data preparation time. > Pioneered the creation of a robust data engineering pipeline, reducing data retrieval and standardization time by 50%, for downloading data from Azure Data Lake. > Lead end-to-end AWS infrastructure development for a PoC project, streamlining processes and optimizing performance. > Actively building an end-to-end CodePipeline on AWS using CodeCommit, CodeBuild, and CodeDeploy to enhance deployment efficiency. > Developing a Lambda function to trigger various AWS services and Docker configurations, ensuring efficient image execution on ECR. > Designed and implemented an AutoML pipeline using SageMaker Studio, further deploying the model via a SageMaker endpoint to enable automated machine learning capabilities. > Utilized the OpenAI API to create a custom chatbot for Arrow data, improving user interactions and data accessibility. >Acted as a dedicated mentor within the team, offering guidance and support to team members, resolving technical challenges and fostering skill growth thus increasing productivity.
MSD
Mar 202211 mosJan 2023

Pune District, Maharashtra, India

> Developed a tool for emerging markets, enabling stakeholders to make informed product launch decisions, resulting in a 15% increase in successful launches > Implemented Python-based algorithms for Transition, Affordability, and Revenue functions, contributing to data-driven decisions and achieving a 10% improvement in profitability > Leveraged supervised and unsupervised algorithms to categorize countries based on World Bank data, providing actionable insights that led to a 20% growth in international market presence > Established seamless integration between Visual Studio Code (VS Code) and AWS S3, resulting in a 50% reduction in data transfer time and improved model integration > Demonstrated proficiency in AWS Lambda and API Gateway to streamline frontend data uploads to AWS S3 buckets, enhancing data management efficiency by 30% > Independently constructed a user-friendly frontend using HTML/CSS and JavaScript for the tool, enabling effortless data interaction > Efficiently configured and managed JIRA for the entire team, providing comprehensive training that improved team-wide productivity by 25% > Mentored and guided three team members, addressing their questions and challenges, and facilitating their professional growth and development
Siemens Healthineers
Dec 20201 yr 3 mosFeb 2022

Bengaluru, Karnataka, India

> Employing Python for exploratory data analysis of instrumental data, uncovering valuable insights > Utilizing R to develop code for various clinical instruments and perform in-depth data analysis > Applying Natural Language Processing (NLP) techniques to conduct sentiment analysis on data, extracting meaningful information > Engaged in the implementation of machine learning algorithms such as SVM, Random Forest, KNN, Naive Bayes, and Logistic Regression for data analysis and modeling > Leveraging SQL and MongoDB for efficient database querying and merging with Python for comprehensive data manipulation > Proficient in SQL for designing Key Performance Indicators (KPIs) within the Insight tool of OpenClinica > Collaborating on the development of electronic Case Report Forms (eCRFs) for diverse clinical studies, including database creation and management > Created interactive dashboards using Google Data Studio and harnessed the capabilities of OpenClinica's built-in tool, Insights, for data visualization and analysis
IQVIA
Aug 20182 yrs 5 mosDec 2020

> Proficient in clinical trial processes, data management, and system applications > Utilizing Python for in-depth exploratory data analysis of clinical data, extracting valuable insights > Applying Natural Language Processing (NLP) techniques, including TF-IDF and Word2Vec, for various day-to-day tasks > Skilled in machine learning algorithms such as SVM, Random Forest, KNN, Naive Bayes, and Logistic Regression for data analysis and modeling > Proficient in SQL for efficient database querying and data linkage > Writing SAS queries in UNIX environments to generate reports, ensuring data accuracy and accessibility > Utilizing SAS for dataset creation, analysis, and visualization, facilitating data-driven decision-making
IQVIA
Apr 20171 yr 4 mosJul 2018

> Proficient in Clinical Database design, ensuring efficient data management > Experienced in creating DARS (Data Acquisition and Reporting System) documents and collaborating with clients to gather requirements > Designed batch upload workflows for IVRS (Interactive Voice Response System) data, streamlining data processing > Conducted audits for multiple clinical studies and performed rigorous backend testing of the RAVE (Medidata Rave) database > Successfully managed production issues related to the RAVE database, ensuring uninterrupted data operations > Updated mapping files from the RAVE database end, maintaining data accuracy and integrity

Shubham’s AI Stack

antigravity
antigravity
opencode
opencode
claudecode
claudecode

Education

Bachelor in computer application, Computer Science

Tilkamanjhi Bhagalpur University

20133 yrs2016

12th, Science and Math

Krishnanand memorial academy

20102 yrs2012

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Headline

Lead AI Engineer @ Rockwell Automation | Generative AI, Agentic AI & LLM Solutions | Full Stack Data Scientist | AWS & Azure Cloud Specialist

About

Experienced AI & Data Engineering professional specializing in Generative AI, Agentic AI, Large Language Models (LLMs), Machine Learning, and Cloud-Native Data Platforms. Passionate about building intelligent, scalable solutions that transform complex data into actionable business value. With expertise spanning Data Science, NLP, Deep Learning, and Full-Stack AI development, I have designed and delivered enterprise-grade AI applications leveraging AWS Bedrock, Azure AI Foundry, RAG architectures, AI Agents, and modern LLM frameworks. My technical background includes Python, SQL, R, Machine Learning, MLOps, LLMOps, Data Engineering, and Solution Architecture. I bring hands-on experience across a broad range of AWS and Azure services, extending beyond AI platforms to cloud infrastructure, data engineering, DevOps, containerization, networking, security, and application modernization. This includes services such as AWS Bedrock, Lambda, S3, Glue, EC2, ECR, API Gateway, CloudWatch, and Azure AI Foundry, Azure OpenAI, AKS, ACR, Cosmos DB, Azure Cache for Redis, Private DNS, Azure DevOps, Key Vault, Data Factory, and various cloud-native CI/CD and monitoring solutions. I enjoy leading innovation-driven initiatives, mentoring teams, and delivering scalable AI solutions that bridge business needs with emerging technologies. Core Areas: Generative AI • Agentic AI • LLMs • RAG • Machine Learning • NLP • Data Science • AWS • Azure • Cloud Architecture • Data Engineering • MLOps • LLMOps • DevOps • Platform Engineering

Location

Pune District

AI stack

antigravity

opencode

claudecode

Work experience

Lead AI Enginner at Rockwell Automation, Dec 2025 - Present · 9 mos, Pune District, Maharashtra, India

Lead Engineer - Data Scientist at eInfochips (An Arrow Company), May 2025 - Dec 2025 · 8 mos, On-site, > Designed and implemented an AutoML pipeline using SageMaker Studio, deploying the model via a SageMaker endpoint to enable automated machine learning capabilities > Leveraged OpenAI API to create a custom GenAI-powered chatbot for Arrow data, enhancing user interaction, enabling contextual Q&A, and improving data accessibility > Developed LLM-powered automation pipelines using AWS Bedrock, integrating Generative AI into data reporting and recommendation workflows. > Acting as a dedicated mentor within the team, offering guidance and support, resolving technical challenges, and fostering skill growth—resulting in increased overall productivity

Senior Engineer-Data Scientist at eInfochips (An Arrow Company), Feb 2023 - May 2025 · 2 yrs 4 mos, Hybrid, > Automated the conversion of HTML reports to PDF format, reducing manual hours by 80%, and seamlessly deployed them on AWS. > Crafted an analytics deployment package on AWS, encompassing all preprocessing steps, resulting in a 30% reduction in data preparation time. > Pioneered the creation of a robust data engineering pipeline, reducing data retrieval and standardization time by 50%, for downloading data from Azure Data Lake. > Lead end-to-end AWS infrastructure development for a PoC project, streamlining processes and optimizing performance. > Actively building an end-to-end CodePipeline on AWS using CodeCommit, CodeBuild, and CodeDeploy to enhance deployment efficiency. > Developing a Lambda function to trigger various AWS services and Docker configurations, ensuring efficient image execution on ECR. > Designed and implemented an AutoML pipeline using SageMaker Studio, further deploying the model via a SageMaker endpoint to enable automated machine learning capabilities. > Utilized the OpenAI API to create a custom chatbot for Arrow data, improving user interactions and data accessibility. >Acted as a dedicated mentor within the team, offering guidance and support to team members, resolving technical challenges and fostering skill growth thus increasing productivity.

Associate Manager - Data Scientist at MSD, Mar 2022 - Jan 2023 · 11 mos, Pune District, Maharashtra, India, > Developed a tool for emerging markets, enabling stakeholders to make informed product launch decisions, resulting in a 15% increase in successful launches > Implemented Python-based algorithms for Transition, Affordability, and Revenue functions, contributing to data-driven decisions and achieving a 10% improvement in profitability > Leveraged supervised and unsupervised algorithms to categorize countries based on World Bank data, providing actionable insights that led to a 20% growth in international market presence > Established seamless integration between Visual Studio Code (VS Code) and AWS S3, resulting in a 50% reduction in data transfer time and improved model integration > Demonstrated proficiency in AWS Lambda and API Gateway to streamline frontend data uploads to AWS S3 buckets, enhancing data management efficiency by 30% > Independently constructed a user-friendly frontend using HTML/CSS and JavaScript for the tool, enabling effortless data interaction > Efficiently configured and managed JIRA for the entire team, providing comprehensive training that improved team-wide productivity by 25% > Mentored and guided three team members, addressing their questions and challenges, and facilitating their professional growth and development

Data Scientist at Siemens Healthineers, Dec 2020 - Feb 2022 · 1 yr 3 mos, Bengaluru, Karnataka, India, > Employing Python for exploratory data analysis of instrumental data, uncovering valuable insights > Utilizing R to develop code for various clinical instruments and perform in-depth data analysis > Applying Natural Language Processing (NLP) techniques to conduct sentiment analysis on data, extracting meaningful information > Engaged in the implementation of machine learning algorithms such as SVM, Random Forest, KNN, Naive Bayes, and Logistic Regression for data analysis and modeling > Leveraging SQL and MongoDB for efficient database querying and merging with Python for comprehensive data manipulation > Proficient in SQL for designing Key Performance Indicators (KPIs) within the Insight tool of OpenClinica > Collaborating on the development of electronic Case Report Forms (eCRFs) for diverse clinical studies, including database creation and management > Created interactive dashboards using Google Data Studio and harnessed the capabilities of OpenClinica's built-in tool, Insights, for data visualization and analysis

Data Analyst at IQVIA, Aug 2018 - Dec 2020 · 2 yrs 5 mos, > Proficient in clinical trial processes, data management, and system applications > Utilizing Python for in-depth exploratory data analysis of clinical data, extracting valuable insights > Applying Natural Language Processing (NLP) techniques, including TF-IDF and Word2Vec, for various day-to-day tasks > Skilled in machine learning algorithms such as SVM, Random Forest, KNN, Naive Bayes, and Logistic Regression for data analysis and modeling > Proficient in SQL for efficient database querying and data linkage > Writing SAS queries in UNIX environments to generate reports, ensuring data accuracy and accessibility > Utilizing SAS for dataset creation, analysis, and visualization, facilitating data-driven decision-making

Clinical Database Programmer at IQVIA, Apr 2017 - Jul 2018 · 1 yr 4 mos, > Proficient in Clinical Database design, ensuring efficient data management > Experienced in creating DARS (Data Acquisition and Reporting System) documents and collaborating with clients to gather requirements > Designed batch upload workflows for IVRS (Interactive Voice Response System) data, streamlining data processing > Conducted audits for multiple clinical studies and performed rigorous backend testing of the RAVE (Medidata Rave) database > Successfully managed production issues related to the RAVE database, ensuring uninterrupted data operations > Updated mapping files from the RAVE database end, maintaining data accuracy and integrity

Education

Bachelor in computer application, Computer Science, Tilkamanjhi Bhagalpur University

12th, Science and Math, Krishnanand memorial academy