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I'm currently a Software Associate at Infosys, having graduated from the University of Connecticut in May 2025. I'm proficient in both Java and Python, but Python is still my favorite language—it's the first one I learned and still the one I code in for most of my side projects. At work, I usually code in Java with Spring Boot, which has been a great learning experience for me. In my free time I like to do personal side projects such as my File-2-PDF converter and my American Revolution Timeline. They are mostly for fun but still help me learn new technologies and frameworks. I enjoy building these kinds of projects purely as a hobby. What excites me most about coding is how it can make life easier for myself and others. Being able to build something that makes my life easier is one of the best feelings in the world. When I'm not sitting in front of a screen, I love golfing and spending time with family and friends. I'm always trying to learn new technologies and frameworks to grow as a software engineer. I'm passionate about learning, quick to adapt, and thrive in new environments where I can keep improving my technical skills.

Education

B.S. Computer Science
University of Connecticut
Graduated May 2025

Concentration: Systems & Networks

  • Data Structures and Object-Oriented Design (Python)
  • Operating Systems (C)
  • Computer Architecture
  • Introduction to Cloud Computing
  • Artificial Intelligence (Python)
  • Introduction to Machine Learning
  • Calculus 1-3 + Linear Algebra

Skills

Languages Python, Java
Frameworks/Libraries React, Spring Boot, NumPy, pandas, scikit‑learn
Tools Git, GitHub
Cloud AWS(EC2, S3, Lambda, DynamoDB)

Projects

Building a Machine Learning Model to Interpret Virtual X-Ray Diffraction Patterns (Senior Design)

Our team built an end-to-end pipeline that runs the lab’s Fortran binning and LAMMPS XRD on UConn’s HPC, ingests the outputs, and predicts phase fractions. We focused on preprocessing automation, dataset assembly/QC, and model development (SVR, CNN, & Random Forest). The tuned SVR (RBF) achieved R² = 0.998, turning a manual, expert-only review into a fast, repeatable workflow that held up across temperature test sets.

Project Website

File-2-PDF Converter

Convert different types of files to PDF without needing to use online services or paying for software. All conversions happen directly on your computer - your files are never uploaded to any servers or shared with anyone.

Project Website

The American Revolution Timeline

An interactive, student‑friendly web app to explore key battles of the American Revolutionary War (1775–1783). Go through the timeline to see how the war unfolded, and dive into details for each battle — including outcomes, significance, images, fun facts, sources, and student activities.

Project Demo

Work

Role Organization Dates Highlights
Software Associate Infosys June 2025–present New Grad Role, working on different projects and using different languages and frameworks.
InStep Intern Infosys 05/2024–07/2024 During my internship, I analyzed market data and emerging technologies to propose practical solutions for providers and alternate care sites. I developed a product pitch that integrated AI and cloud and I conducted data analysis to pinpoint where GenAI, cloud, and API integrations could meaningfully improve workflows and outcomes. I also trained in and worked within Agile/Scrum, working closely with industry mentors and fellow interns to plan, iterate, and deliver.
Summer Intern Express Kitchens 05/2023–08/2023 I used a web scraping tool to automate data retrieval from 10+ websites, significantly reducing manual data entry time. I scraped data such as cabinets, door styles, SKUs, kitchen lines, suppliers, and prices from websites and exported the data into Excel spreadsheets. Additionally, I worked with the IT department to automate data scraping and other tasks, including obtaining Google reviews and contractor reviews.

CV

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