About
ML & Software Engineer
Graduating May 2026
I build ML systems, full-stack applications, and on-device inference pipelines. Current focus: edge AI optimization - quantization, model compression, and low-latency inference on mobile and embedded devices. Beyond that, I'm at the gym, reading, or building side projects.
BS of Computer Science & Data Science @ UW-Madison
Machine Learning Intern (Capstone) @ Qualcomm
Machine Learning Assistant @ Space Science Engineering Center
Background
Engineering in Production
My skills and journey — academic and professional.
Experience
Machine Learning Intern (Capstone)
Qualcomm · Madison, WI
Jan 2026 — Present
Edge AI · On-Device Inference · Model Quantization · Mobile Systems
- Architected real-time multimodal inference pipelines on Android NPUs using hardware-aware quantization and pruning.
ML Research Assistant
UW-Madison SSEC · Madison, WI
Sep 2025 — Present
Computer Vision · ML Infrastructure · Geospatial AI
- Engineered high-throughput optical flow pipelines to extract 3D atmospheric vectors from satellite imagery.
Software Engineering Intern
Techbaton · Remote
May 2025 — Aug 2025
Generative AI · Full-Stack ML · Microservices · LLM Orchestration
- Deployed a GenAI-powered learning platform integrating Llama 3 agents with scalable microservice architecture.
Software Engineering Intern
Boys & Girls Clubs of Middle Tennessee · Nashville, TN
May 2024 — Jul 2024
Mobile Engineering · Technical Leadership · iOS
- Directed mobile development bootcamps and designed technical curriculum for 150+ students.
Research Intern
Vanderbilt University Medical Center · Nashville, TN
May 2022 — Jul 2022
Statistical Modeling · Data Science · Data Visualization · Algorithm Design
- Developed statistical software packages to automate high-dimensional drug toxicity and synergy validation.
Education
BS in Computer Science and Data Science
University of Wisconsin-Madison · Madison, WI
Aug 2023 — May 2026
- Coursework: AI, ML Theory, Data Science Algorithms, Statistical Modeling, Probability Theory, Big Data Systems, Database Systems, Advanced DSA, Software Engineering, Systems Programming (OS, Hardware, Networks)
- Activities: Wisconsin AI Safety Initiative, Tech Exploration Lab
Oracle Cloud Infrastructure
Projects
Personal Works
Projects, hackathon demos, and open-source.
Prompt Tuner
Cloud-based prompt optimizers send private data to external servers. Static libraries break with updates.
A Chrome extension that acts as a 'Grammarly for Prompts', optimizing chat inputs entirely on-device using Gemini Nano.
Impact: Built a fully offline optimizer that intercepts text directly from the browser DOM and tunes prompts dynamically.
Janus
Standard audio codecs fail below 6kbps, making satellite calls expensive and unintelligible in remote areas.
A 'Semantic Codec' that transmits meaning and tone rather than raw audio, using AI to rebuild voices over weak connections.
Impact: Achieved natural voice calls at just 300 bps, reducing satellite bandwidth costs while keeping vocal emotion intact.
CardinalCast
I wanted to build an end-to-end ML application to practice real-time data ingestion and job scheduling.
A weather prediction market where users place virtual bets on daily forecasts using ML-generated odds.
Impact: Built a daily NOAA data pipeline and a custom probability model that automatically resolves bets and updates wallets.
Blog
Writing & Notes
Posts, announcements, and deep dives.
Risk Pricing Weather with Quantile Regression
I built the ML pipeline for a weather prediction market as part of a team project (CS 506). Teammates handled the Java backend and React frontend; I built the Python ML components: models that generate risk-adjusted odds for weather outcomes. The wo
Contact
Feel Free to Reach Out
Always open to collab or discussing new opportunities. Check out my socials.