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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 personal projects. In my free time, I like building tools and projects like my File-2-PDF converter and Mac Health Analyzer. I also really enjoy building with AI to create fun projects like my Comic Chronicler and American Revolution Timeline. What I love most about programming is that you can genuinely make your life easier and better with code. When I'm not in front of a screen, I love golfing and spending time with my family and friends. I'm passionate about learning, quick to adapt, and thrive in environments where I can keep growing my technical skills.
Education
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 | Java, Python |
| Frameworks/Libraries | Spring Boot (REST APIs, Spring Data JPA, validation), React (functional components, hooks, routing, forms), Bootstrap |
| 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.
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.
Mac Health Analyzer
A macOS system monitoring and startup management tool built with Python and PyQt6. Monitor system resources in real-time, manage startup items (login items, launch agents, launch daemons), and view detailed process information with CPU and memory statistics. GUI with live charts and recommendations for system optimization.
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 helped builda 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
Contact
| ankitcherian@outlook.com | |
| linkedin.com/in/ankit-cherian | |
| GitHub | github.com/ankit-cherian |