About Me

I'm a junior Computer Science student at Minerva University driven to turn ideas into impactful software. What started as curiosity about how laptops work has evolved into a passion for full-stack development and machine learning, driving me to build projects that try to tackle real-world challenges.
I'm driven by the idea that small, honest improvements compound—on products, and on people. In any office I bring organized calm, clear writing, genuine curiosity, and the habit of making others faster: I aim to ask good questions, share context, give credit freely, and keep a steady, positive pace. I care about inclusive spaces, thoughtful feedback, and celebrating wins without lowering the bar. My ambition is simple: keep learning, keep helping, and be the teammate you're relieved to see on your project.
Interests
- ▸ App Development
- ▸ Machine Learning
- ▸ UI/UX
- ▸ Research
Currently
- ▸ Learning more on MCP servers
- ▸ Exploring cloud computing
- ▸ Reading random research papers on any field
- ▸ Publishing a research paper on fluid dynamics
Education & Experience
GPA: 3.6/4.0
Expected Graduation: May 2027
Relevant Coursework:
Achievements & Responsibilities
- ▶Designed and solely developed the backend infrastructure for a real-time online classroom multiplayer mode, integrating with the senior UI/UX developer's template. This system supports over 8000 user-generated classrooms, enabling synchronous gameplay for 100+ participants per session with sub-10ms latency worldwide. Multiple game formats are supported, including classic 4-choice quizzes, true/false questions, passage-based questions, and a timed elimination mode, all generated from user-uploaded materials. This led to 26% of multiplayer users leveraging invite codes to bring their friends into their classrooms, with 40% of those invited actively participating in at least ten multiplayer games.
Technologies: Flutter, Firebase Cloud Functions, WebSockets - ▶Implemented the backend for a “roadmap” feature that analyzed uploaded classroom material to propose a personalized study plan for each student, helping learners prioritize topics and track progress more effectively. In early testing, roadmap users who indicated their test date showed a 35% higher return rate week-over-week compared to non-roadmap users, indicating strong retention potential.
Technologies: Node.js, Express, Firebase Firestore, REST APIs - ▶Expanded an underused feature called Lecture Notes which transcribed live recordings and added an AI-driven content processing pipeline that summarized user-uploaded files via Flutter, Firebase, and Gemini API, then generated a podcast version using custom AI voices. This led to an increase in user engagement by 40% for existing users. This feature increased average feature usage duration by 15%.
Technologies: Flutter, Firebase Storage, Gemini API, Cloud Functions, Text-to-Speech APIs - ▶Actively contributed to team-wide reviews and bug fixes of legacy code, agile sprint planning sessions, and team bonding exercises.
Technologies: React, Tailwind CSS, Jira, Git, Agile methodologies
- •Designed and implemented a production-grade asymmetric envelope encryption middleware with AWS KMS, securing sensitive PII data for 10,000+ user accounts while maintaining full GDPR compliance across European data processing requirements
- •Optimized encryption pipeline to maintain P95 latency under 200ms with less than 2% performance overhead, implementing intelligent caching strategies that reduced AWS KMS API calls by 75%
- •Conducted comprehensive load testing with 1,000+ concurrent requests and delivered system that passed external security audit with zero critical vulnerabilities, achieving SOC 2 Type II compliance certification
- •Led a 5-person team to design a space mission concept leveraging LightGBM and TCN models to predict full Solar Particle Event (SPE) intensity for astronaut risk mitigation on future lunar missions and solar storm predictions on earth
- •Ranked 3rd out of 60+ teams nationally for technical merit, feasibility, and innovation in solar event forecasting
- •Collaborated with Dr. Wei-Ling Tseng to adapt research on Saturn's moon Enceladus, tailoring simulation models using the Space Weather Modeling Framework, AstroPy, and SPICE toolkit to model the trajectory of pickup ions on our moon's surface for future lunar exploration missions
- •Applied computational physics and advanced numerical methods to achieve a 93% simulation accuracy with Saturn's magnetospheric model, contributing to NASA's understanding of space weather effects
- •Developed Python scripts for data analysis and visualization of ion trajectory patterns, processing over 10,000 data points from spacecraft measurements
- •Customized and managed over 200 back-end servers for online gaming using ISPConfig, ensuring high availability, performance optimization, and seamless gaming experiences for clients across multiple game platforms
- •Led the company blog on WordPress, increasing organic traffic and engagement by implementing SEO optimization strategies, achieving over 50,000+ monthly page views through Google Analytics insights, content strategy, and social media integration
- •Automated server deployment processes using shell scripts and monitoring tools, reducing setup time by 40% and improving system reliability
- •Collaborated with development teams to troubleshoot technical issues and implement custom server configurations for gaming clients
Projects
Skills & Technologies
Get In Touch
Let's Connect!
I'm always interested in new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!