About
Engineering Intelligence
CS and Data Science student at UW-Madison building ML systems, full-stack applications, and edge AI solutions. Madison, WI & Nashville, TN.
ML & Software Engineer
Senior at UW-Madison studying Computer Science and Data Science. I build ML systems and full-stack applications — from on-device inference pipelines to microservice architectures. Currently interning at Qualcomm and researching atmospheric ML at SSEC.
BS of Computer Science & Data Science @ UW-Madison
Machine Learning Intern (Capstone) @ Qualcomm
Machine Learning Assistant @ Space Science Engineering Center
Skills
What I Ship With
Languages, frameworks, and tools I use to build ML systems and software.
Certifications
Background
Engineering in Production
My professional journey and academic foundation.
Experience
Machine Learning Intern (Capstone)
Qualcomm · Madison, WI
Jan 2026 — Present
ONNX Runtime · Kotlin · NPU · Android
- Building multimodal inference pipelines on NPUs with hardware-aware quantization for real-time on-device recommendations.
- Developed native Android integration bridging NPU inference with streaming APIs, maintaining 60 FPS during model processing.
ML Research Assistant
UW-Madison SSEC · Madison, WI
Sep 2025 — Present
PyTorch · RAFT · Slurm · Docker
- Engineered an optical flow pipeline using RAFT to process satellite imagery for 3D atmospheric wind vector generation.
- Streamlined HPC workflows with Slurm job scheduling and MLOps practices for reproducible experiments.
Software Engineering / ML Intern
Techbaton · Remote
May 2025 — Aug 2025
Django · PostgreSQL · Llama 3 · Jira
- Delivered an LMS MVP in an Agile team, designing scalable PostgreSQL schemas and architecting backend microservices.
- Integrated Llama 3 via Groq API with prompt engineering to automate quiz generation and grading.
Software Engineering Intern
Boys & Girls Clubs of Middle Tennessee · Nashville, TN
May 2024 — Jul 2024
Swift · iOS · Apple Curriculum
- Delivered a Swift curriculum in partnership with Apple, leading hands-on workshops for 150+ students.
- Mentored students through the full SDLC, increasing interest in computing careers by 20%.
Research Intern
Vanderbilt University Medical Center · Nashville, TN
May 2022 — Jul 2022
R · Statistical Modeling · Data Visualization
- Developed an R package for drug toxicity analysis using TLS regression to assess drug synergy.
- Performed statistical analysis and visualization to identify promising drug combinations.
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)
- Wisconsin AI Safety Initiative — Technical Scholar, Tech Exploration Lab
Projects
Personal Works
Highlight a few projects that best showcase your skills, impact, and favorite problems to work on.
Project title one
Your role on the project
Briefly describe what this project is about, who it was for, and why it matters.
Impact: Share one concise highlight or outcome that shows the impact of your work.
Project title two
Your role on the project
Explain what problem you solved, how you approached it, and what you learned.
Impact: Mention a metric, business outcome, or qualitative result you are proud of.
Contact
Feel free to reach out about potential collaborations or opportunities. I typically respond within 1-2 business days. Current recruiting New Grad for post Summer 2026. Checkout my GitHub & LinkedIn as well.