About.
I'm a Computer Science senior at Purdue University graduating in May 2026, with hands-on experience building software, working with data, and exploring areas like NLP and AI through projects and research .
I've worked across backend systems, interactive web applications, and data-driven projects, along with work on how models process and interpret language.
Interested in problems where clarity is hard, building systems that are not just functional, but genuinely understandable to the people using them. This shows up in interface design, data visualization research, and NLP-related work.
Currently seeking internship or new grad roles to apply skills, continue learning, and contribute to meaningful systems. Available from May 2026.
- 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.
- 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.
- 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.
- 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.
- Assisted in evaluating capstone project reports and presentations.
- Leveraged Python scripts to support data processing and review pipelines.
- 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.
- Python
- Java
- C
- JavaScript
- HTML
- CSS
- React.js
- Next.js/Vite
- Node.js
- Express
- MongoDB
- REST APIs
- SQL
- Machine Learning
- NLP
- LLMs
- Prompt Engineering
- Model Evaluation
- Git
- Jupyter Notebook
- JavaFX
- SceneBuilder
- Postman
- Cypress
- Jest
- Supertest
- Data Structures & Algorithms
- OOP
- System Design
- API Design
Dive into my technical notes, research reflections, and deep-dive articles.
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