Bio & Experience
I'm a Purdue University Computer Science graduate who builds full-stack and AI-enabled products from concept to deployment.
My work spans real-time web applications, backend systems, NLP automation, applied machine learning, and data visualization research.
I'm drawn to problems where the technology is complex but the experience should feel simple. That principle shapes how I design interfaces, explain data, and build dependable systems for real users.
I'm seeking full-time software engineering roles where I can contribute across the stack, learn quickly, and help ship products with measurable impact.
Skills
Languages
Python · Java · C++ · JavaScript
Web Tech
HTML · CSS · React.js · Next.js/Vite
Backend & Data
Node.js · Express · MongoDB · REST APIs · SQL
AI / ML / NLP
Machine Learning · NLP · LLMs · Prompt Engineering · Model Evaluation
Tools
Git · GitHub · Docker · Postman · VS Code · IntelliJ IDEA · Jupyter Notebook · Vercel · Render · MongoDB Atlas
Testing
Cypress · Jest · Supertest
Core Concepts
Data Structures & Algorithms · OOP · System Design · API Design
2026
B.S. Computer Science
Purdue University · Fort Wayne, Indiana
Graduated May 2026
08/2023 – 05/2026
IT Lab Consultant
Purdue University
- Re-imaged, configured, and maintained 100+ lab computers, ensuring consistent OS, software installations, and security updates.
- Resolved 1,500+ hardware and software tickets, maintaining 99% lab uptime and minimizing disruptions for students and faculty.
- Performed routine diagnostics, printer maintenance, and troubleshooting of technical equipment.
- Collaborated with IT staff while independently managing lab systems and planning lab events.
2025
CS Summer Camp Assistant
Purdue University
- Represented the Computer Science department during a high-school summer camp program.
- Assisted students with technical activities and project development.
- Conducted research on prompt engineering and evaluated student capstone posters using AI-based tools.
09/2024 – 02/2025
Undergraduate Researcher
Do We Really Know How to Use Graphs Effectively
- Investigated effective visualization of categorical data, analyzing how users interpret bar, line, and stacked bar charts.
- Designed user studies to evaluate visualization clarity and reduce misinterpretation by non-expert audiences.
- Formulated evidence-based guidelines for selecting appropriate chart types to improve data comprehension.
- Presented findings at the 28th Annual Student Research and Creative Endeavors Symposium.
2023
Research: Fort Wayne Crimes, Indiana
Purdue University
- Analyzed 150,000+ crime records using Python to classify incidents as violent or non-violent.
- Identified crime trends and patterns through data aggregation and visualization techniques.
- Collaborated with a graduate-level research team to produce data-driven reports and insights.
2025
Teaching Assistant, Senior Capstone Project
Purdue University
- Assisted in evaluating capstone project reports and presentations.
- Leveraged Python scripts to support data processing and review pipelines.
2023
Leadership Involvement
Purdue University
- Active member of the Student Government Organization, organizing and supporting campus events.
- Presented research findings at the Love Data 2025 workshop at Purdue University, discussing data visualization practices.
Additional Reading
Dive into my technical notes, research reflections, and deep-dive articles.
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