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Shyam Patadia

Shyam Patadia

Data Scientist & Software Developer

Full Stack AI Engineer AI/ML Azure

Passionate developer with expertise in automation, GxP compliance, and AI systems. Specializing in building scalable solutions and optimizing development workflows.

About Me

Software Engineer with experience in developing test automation infrastructure using Selenium Grid and integrating CI/CD pipelines. Proficient in containerization with Docker and Azure DevOps to streamline deployment processes.

Experienced in implementing GxP-compliant software development life cycle (SDLC) processes and developing end-to-end test automation suits for web, desktop, and API applications.

Skilled in creating automation scripts for data processing using PowerShell and Python. Certified in Azure DevOps, Scrum methodologies, and committed to best practices in software development.

Quick Facts

  • Worcester, MA, United States
  • English, Hindi, Gujarati
  • 4+ Years Experience

$ ls ./skills

// Technical stack and expertise

Work Experience

xLM Continuous Validation - Jacksonville, FL (2021-2025)

Lead Software Engineer - AI

Nov 2023 – Jul 2025
TL;DR

Architected AI test automation platform with RAG workflows, reducing manual effort by 90% while leading cross-functional team of 5 engineers.

Key Achievements

  • Led cross-functional team delivering cIV AI Platform with RAG & prompt-engineering workflows, cutting manual test-authoring by 90% (21 CFR Part 11 compliant)
  • Designed GPU-accelerated inference with PyTorch/vLLM on AWS/Azure with robust evaluation loops
  • Instrumented Git/GitHub CI/CD pipelines and automated release governance with standardized SOPs
  • Orchestrated Kubernetes/Selenium Grid device-farm for parallel experimentation
  • Led SQL Server to cloud migration with extensive PowerShell automation

Technologies

LLMs & VLMs CrewAI LangGraph Vector DBs PyTorch vLLM AWS Azure Kubernetes Git/GitHub Azure DevOps PowerShell

SDET II

Sep 2022 – Oct 2023
TL;DR

Built enterprise automation frameworks reducing deployment cycles by 40%, led xLMCore NuGet development through 15+ versions.

Key Achievements

  • Designed end-to-end automation frameworks with Selenium/Playwright/SpecFlow, cutting deployment cycles by 40%
  • Led xLMCore NuGet package development (v0.0.1 to v2.0.15) for GxP test automation
  • Integrated test suites into CI/CD pipelines with Azure DevOps and Docker
  • Developed Jira/Azure DevOps integration eliminating duplicate reporting
  • Conducted comprehensive API testing ensuring data integrity and system reliability

Technologies

Selenium Playwright SpecFlow NuGet Azure DevOps Docker Jira Postman C#/.NET

SDET I

Jul 2021 – Aug 2022
TL;DR

Automated enterprise application validation ensuring 21 CFR Part 11 compliance, deployed real-time Power BI dashboards for test visibility.

Key Achievements

  • Performed UAT and API testing with SpecFlow ensuring 21 CFR Part 11 compliance
  • Automated validation for enterprise apps (Veeva, Sage, Rhythm) using Selenium/Appium/WinAppDriver
  • Established end-to-end reporting pipeline with automated data ingestion
  • Deployed live Power BI dashboards for real-time test execution visibility

Technologies

SpecFlow Selenium Appium WinAppDriver Power BI xLMCore C#/.NET

Education

Master of Science in Data Science

Worcester Polytechnic Institute, Worcester, MA

August 2025 - Present
GPA: 4.00/4.00

Program Overview

Currently pursuing advanced graduate studies in Data Science with focus on machine learning, statistical modeling, and data engineering. The program emphasizes practical application of cutting-edge AI/ML techniques and large-scale data processing.

Academic Excellence:
Achieved perfect 4.00 GPA in first semester coursework, demonstrating strong foundation in advanced data science concepts and methodologies.

Areas of Focus

  • Advanced Machine Learning: Deep learning architectures, neural networks, and AI model optimization
  • Statistical Modeling: Bayesian inference, time series forecasting, and predictive analytics
  • Big Data Engineering: Distributed computing, data pipelines, and scalable analytics infrastructure
  • Applied Research: Real-world data science projects and industry collaboration

Bachelor of Science in Applied Statistics & Analytics

NMIMS University, Mumbai, India

2017 - 2021
CGPA: 2.95/4.00

Program Overview

  • Completed an intensive 151-credit program (3-year curriculum comparable to 120-130 American credits / 302 ECTS credits)
  • Core Focus: Statistics, Data Analysis, Programming, and Applied Mathematics
  • Developed proficiency in R, Python, and C programming languages
  • Engaged in multiple research projects applying statistical concepts to real-world scenarios

Key Skills Developed

  • Statistical Analysis: Hypothesis testing, regression analysis, experimental design, and data-driven decision making
  • Data Science: Machine learning algorithms, predictive modeling, data visualization, and pattern recognition
  • Programming: Algorithm development, data structures, software engineering practices in R and Python
  • Applied Analytics: Integrated statistics with economics, finance, and computer science

Notable Courses

Data Science

Time Series Analysis

Financial Risk Modeling

Multivariate Statistics

Projects

AI-Powered Web Navigation Agent

Featured

An intelligent agent that autonomously navigates web applications for testing and validation purposes. Built with state-of-the-art LLM technologies to improve efficiency and reduce manual testing efforts.

Key Responsibilities

  • Managed end-to-end product development from concept to implementation, including agent coding
  • Created system architecture and led a cross-functional team through agile sprints
  • Integrated LLM technologies to improve web application testing efficiency
AI/ML Python Selenium LLMs

GxP-Compliant Agile Development Service

A comprehensive service built on Atlassian Jira to enable GxP-compliant Agile sprint development, balancing regulatory requirements with Agile methodologies.

  • Developed a comprehensive service on Atlassian Jira for GxP-based Agile sprint development
  • Ensured compliance with regulatory requirements while maintaining Agile principles
Jira GxP Agile

Sentiment-Based Trading System

An innovative intraday trading system leveraging news sentiment analysis and technical indicators to make informed trading decisions, achieving impressive returns.

  • Built an intraday trading system based on news sentiment analysis and technical indicators
  • Adapted BERT model for financial sentiment classification, achieving ~2.6% average daily return
Python BERT NLP Finance

Wikipedia Content Extractor

A Python utility that efficiently extracts and organizes content from Wikipedia pages, outputting structured JSON data for further use in applications or research.

  • Wrote a Python script to extract and organize Wikipedia content
  • Created JSON output with URLs and associated content
Python Web Scraping JSON
View on GitHub

More Projects

Additional projects and open source contributions coming soon!

Follow on GitHub

Certifications

Professional certifications that validate my expertise in cloud computing, agile methodologies, and software development best practices.

Azure DevOps - AZ-900

Microsoft

Issued: 2024 • No Expiration

Gained foundational knowledge of Azure services, cloud concepts, and core Azure DevOps principles, which enhanced my ability to manage CI/CD pipelines and cloud resources effectively.

Certified Scrum Developer

Scrum Alliance

Issued: 2022 • Valid for 2 years

Acquired practical skills in Agile methodologies, Scrum practices, and teamwork, enabling me to contribute effectively to agile development teams and deliver high-quality software iteratively.

Software Development Processes

Coursera

Issued: 2021 • No Expiration

Enhanced understanding of various software development lifecycles, best practices, and methodologies, enabling me to optimize project workflows and improve code quality through structured processes.

Certification Journey

My certification journey reflects my commitment to continuous learning and professional growth in the fields of software development, cloud computing, and agile methodologies. Each certification has helped me enhance my skills and deliver more value in my professional roles.

Key Learnings

  • Modern cloud architecture and services deployment on Azure
  • Agile and Scrum methodologies for team collaboration and efficient software delivery
  • Software development lifecycle optimization and best practices

Certification Timeline

Azure DevOps

2024

Scrum Developer

2022

SDLC Processes

2021

Future Certification Goals

I'm constantly looking to expand my knowledge and skills. My next certification goals include advanced Azure certifications, AI/ML specializations, and deepening my expertise in modern software architecture.

Blog

Thoughts, tutorials, and insights on software development

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My Bookshelf

Books that shaped my thinking and career

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