About Me
A brief introduction
I am a hands-on developer with experience in Python-based data pipelines, ETL workflows, and QA automation. I'm skilled in building and testing software systems, working with SQL databases, and collaborating across teams to deliver reliable, production-ready solutions.
Adept at C#/.NET, CI/CD pipelines, and open-source technologies, with a strong foundation in machine learning and backend data engineering. I am passionate about creating scalable data workflows and contributing to innovative, systems-driven teams. Currently pursuing my M.S. in Computer Science at Purdue University.
Career & Education
My journey so far
Work Experience
AI Researcher
NEXIS Lab - Purdue University Northwest
Current
Currently working on an ML robustness project for bridge crack detection.
Product QA Developer
Epicor - Prophet 21 ERP
Aug 2022 - Aug 2025
Enhanced C#/.NET automation framework with Selenium, NUnit, and SQL, doubling test coverage. Developed an AI-powered automation agent in Azure AI Studio.
Product Developer Intern
Epicor
Jan 2022 - Jul 2022
Designed and deployed a CI/CD pipeline in Azure DevOps for daily builds and database upgrades, achieving zero-failure deployments.
Education
Master of Science in Computer Science
Purdue University
Expected Graduation: May 2027 | GPA: 3.4/4.0
Relevant Coursework: Programming Language Interface, Software Design, AI Safety.
Bachelors of Engineering in Electronics and Communication
Visvesvaraya Technological University
Graduated: May 2022 | GPA: 8.4/10
Relevant Coursework: Machine Learning, AI, Computer Vision
My Tech Stack
Tools and technologies I use
Featured Projects
Some things I've built
PyMiniLex
Lightweight Lexical Analyzer for Python
Tokenizes a simple language as part of a project to build a compiler's front-end components.
OrionPy
Python Library for Astronomy
A comprehensive Python library designed for astronomical calculations, simulations, and visualizations.
Smart Manhole Management System
Funded by Karnataka State Council for Science and Technology
Developed a real-time IoT-based monitoring system using sensors and an ESP32 Wi-Fi module to track manhole conditions, enhancing public safety.