CS + Data Science @ UW–Madison · Software Engineer · ML Enthusiast
I build full-stack applications and explore machine learning systems to solve real-world problems. From building real-time mobile apps to training ML models for predictive analysis, I enjoy turning ideas into scalable software.
I'm a Computer Science and Data Science student at the University of Wisconsin–Madison, focused on building scalable software and AI-driven systems.
I've worked on full-stack features at FiPet, including backend services with Firebase and frontend implementations for application features. I've also developed real-time mobile applications and built machine learning models for stock sentiment analysis, with a focus on practical, real-world applications.
I enjoy solving complex problems through full-stack development, cloud infrastructure, and data-driven approaches, and I'm always looking for opportunities to build impactful, production-ready systems.
I'm currently seeking software engineering and AI/ML internship opportunities.
Building solutions that scale and solve real problems
Building scalable systems and shipping production software
AI@UW (University of Wisconsin–Madison)
March 2026 – Present
Built and coordinated development of a full-stack AI market sentiment dashboard across a 5-member engineering team using FastAPI, React/Vite, Python, and FinBERT-based NLP analysis. Developed backend/frontend API contracts supporting real-time financial headlines, market data ingestion, ML prediction outputs, and dashboard visualization systems. Also worked on debugging ML service integrations, validating backend workflows, and improving deployment reliability for live demo environments.
FiPet
October 2025 – Present
Leading technical development for FiPet, a gamified financial literacy platform with 300+ downloads built using React Native, TypeScript, Firebase, Firestore, and Cloud Functions. Designed backend APIs, authentication systems, and real-time gamification workflows while coordinating feature integration and sprint planning across a 20-person cross-functional development team. Focused heavily on scalable mobile architecture, live content systems, and real-time user progression features.
iStart Valley
June 2023 – September 2023
Worked in a selective innovation and entrepreneurship internship program focused on AI-driven startup development. Developed technical prototypes and implementation plans for a VR-based mental health platform, including headset interaction workflows and immersive therapeutic environments. Applied lean startup principles, product-market fit analysis, and technical research to evaluate user experience systems and business viability.
STEMShala Enrichment Center
June 2023 – August 2025
Taught Python, JavaScript, and robotics concepts to 40+ students through hands-on programming projects and autonomous robotics challenges. Designed technical lesson plans and engineering exercises focused on problem-solving, software development fundamentals, sensor integration, and robotics system design.
Tools I use to bring ideas to life
I'm currently open to software engineering and AI/ML opportunities. If you have any positions available or just want to connect, feel free to reach out!