Also built
Modular AutoML Pipeline
Object-oriented AutoML framework with leak-free preprocessing, Bayesian hyperparameter search, 5-fold cross-validation, AUROC ranking, and serialized deployment artifacts.
- Python
- pandas
- scikit-learn
- XGBoost
- Optuna
Recruiter brief / 30-second scan
Computer Engineering at U-M with minors in Mathematics and Physics. My coursework covers every layer of computing, from transistor-level design, through computer architecture and operating systems, to machine learning. My core focus is low-level hardware across digital ICs, RTL, and bare-metal embedded systems, most recently at RoboworkX. In software, I ship AI and ML harnesses and develop backend infrastructure, most recently at JPMorgan Chase.
Hardware
Embedded · FPGA · VLSI · PCB
Software & AI
PyTorch · RAG · MCP · Backend · OS and RTOS
Industry
5 industry internships + FSAE
01 // Selected work
Click any project for the full case study

EMBEDDED SYSTEMS · CONTROLS
Team of 4 · PID control, sensor integration, bare-metal engineering, firmware · Winter 2026
PCB design · Embedded Linux · In progress
Team of 5 · 54 V PCB design and gigabit local networking · Fall 2026
Computer architecture
Individual · Fall 2025
DIGITAL DESIGN · FPGA
Individual · Winter 2025
VLSI · Digital IC design
Individual · 2026
Machine learning
Individual · 2026
Also built
Object-oriented AutoML framework with leak-free preprocessing, Bayesian hyperparameter search, 5-fold cross-validation, AUROC ranking, and serialized deployment artifacts.
02 // Experience
Most recent first
Sep 2026 — Present
RoboworkX Inc. · Ann Arbor, MI
Integrating embedded RADAR, LiDAR, and proximity sensors for autonomous maintenance robots, and applying hybrid RRT* / D* Lite path planning from research for GNSS-denied navigation in simulation and real space.
Jun — Aug 2026
JPMorgan Chase & Co · New York, NY
Built an HTTP MCP server for banking and personal financial data with OAuth, prompt-injection guards, and user-consent barriers; shipped Dockerized integration tests as quality gates for agentic workflows.
Sep 2025 — May 2026
Formula SAE · Ann Arbor, MI
Building self-supervised monocular visual odometry in PyTorch and C++ on NVIDIA Jetson, adapting pretrained CNNs and Vision Transformers for depth and motion perception on track.
Jun — Aug 2025
SBI Consultants, LLC · New York, NY
Owned a RAG system end to end (judge LLM, query and search agents, human-in-the-loop, caching) and delivered the MVP in two weeks; fine-tuned 1B–8B models, saving thousands budgeted for larger-model infrastructure.
Jun — Aug 2024
Cambio Labs · New York, NY
Prototyped a generative-AI sentiment-analysis tool to evaluate qualitative student reflections systematically.
Jun — Aug 2023
Evercore · New York, NY
Wrote Excel VBA automation for security reporting, supporting information-security governance and access control across internal systems.
03 // Skills
Used in the projects above
04 // Technical foundations
Math + physics
Digital integrated circuits
Pulse-register timing, clock-to-Q and hold analysis, max clock frequency and skew budgets, and transistor sizing for latch writeability: the same timing principles applied in the ripple-carry adder.
Mathematics + Physics minors
Honors-track Mathematics & Physics, Combinatorics, and Mathematical Analysis, which ground the PID modeling, signal processing, and machine learning work above.
05 / Education
University of Michigan · Expected May 2027
Minors in Mathematics and Physics
Relevant coursework · Advanced Embedded Systems, Machine Learning, Computer Architecture, VLSI Design, Computer Organization, Digital Signal Processing, Digital Integrated Circuits, Data Structures & Algorithms