Shyam Patadia
Software Developer

SHYAM PATADIA

Full Stack 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

  • Rajkot, Gujarat, India
  • English, Hindi, Gujarati
  • 3.5+ Years Experience

Technical Skills

Development

Python
C#
SQL
MongoDB

Testing & Automation

Selenium
Playwright
xUnit
SpecFlow

DevOps & Cloud

Azure DevOps
Docker
CI/CD
PowerShell

Technical Expertise

Grouped by category and specialization

Programming

Python C# SQL Julia

Data & Storage

MongoDB SQL Server PostgreSQL Vector DB

AI & ML

LLMs RAG Langchain CrewAI

Testing

Selenium Playwright xUnit SpecFlow

Frameworks

Flask FAST API Streamlit .NET Core

UI Tools

Appium WindowsDriver

DevOps

Azure DevOps Docker CI/CD PowerShell

Management

Agile Jira SDLC

Compliance

GxP Technical Docs

Automation Expert

End-to-end test automation with Selenium, Playwright, and CI/CD integration

GxP Compliance

Specialized in regulatory compliant development practices and validation

AI Integration

Experience with LLMs, RAG architectures and AI agent implementation

Work Experience

Senior Developer

xLM Continuous Validation LLC, Jacksonville, FL

July 2021 - Present

Key Responsibilities

  • Led development team of AI Agent for GxP-focused web application validation, managing functional and technical aspects
  • Developed end to end automation suits for validation of DMS, LMS, and ERP systems, implemented various CI/CD pieplines for the same

Key Achievements

Infrastructure Optimization

Optimized and containerized internal applications, reducing Docker image sizes by 40% and improving deployment workflows

AI Agent Development

Developed cutting-edge AI agents for automated validation, reducing manual testing time by 60%

Version Control Implementation

Developed end-to-end implementation of version control system across the company, wrote an SOP for the same

GxP-Compliant SDLC

Designed and managed a GxP-compliant SDLC process centered on Jira, integrating various tools

Technical Contributions

Selenium Grid

Setup for scalable automated testing

Azure Storage APIs

Data processing and routine backups

PowerShell Automation

Data processing automation scripts

Technologies Used

Python C# Selenium Docker Azure DevOps PowerShell LLMs Jira

Previous Work Experience

2020 - 2021

Previous positions and internships not listed. Contact for more details.

Looking for My Next Challenge

Open to exciting opportunities in software development, automation, and AI integration. Let's connect to discuss how I can contribute to your team.

Contact Me

Education

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)
  • Credit equivalencies: Approx. 302 ECTS credits; comparable to 120-130 credits in the American system
  • 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 courses: Data Science, Financial Risk Modeling, Time Series Analysis, Multivariate Statistics

Key Skills Developed

  • Statistical Analysis: Hypothesis testing, regression analysis, experimental design
  • Data Science: Machine learning algorithms, predictive modeling, data visualization
  • Programming: R, Python, C, SQL for data manipulation and analysis
  • Financial Analysis: Risk assessment, actuarial science, financial modeling
  • Research Methods: Data collection, analysis, and interpretation of complex datasets

Program Highlights

  • Accelerated Learning: Completed comprehensive curriculum in 3 years
  • Practical Application: Balanced theoretical knowledge with hands-on projects
  • Interdisciplinary Approach: Integrated statistics with economics, finance, and computer science
  • International Equivalency: Program rigor comparable to international standards

Key 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.

Azure Cloud
Verify

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.

Agile Scrum
Verify

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.

SDLC Methodology
Verify

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.