// embedded systems & robotics engineer
Electrical Engineering student at Georgia Tech building the embedded software and control systems that sit between hardware and intelligence — BMS firmware and CAN diagnostics, GPU-accelerated perception, and the generative tools reshaping CAD.
I'm an Electrical Engineering student in the Honors Program at Georgia Tech (B.S. EE, CS & Intelligence minor), focused on the embedded software and control systems that sit between hardware and intelligence — firmware that talks to sensors, diagnostics pipelines that catch failures before they happen, and perception code that turns raw signals into decisions.
That's shown up as E2E BMS firmware for GT's Formula SAE Electric team, diagnostics tooling for Rivian and Volkswagen's shared systems-integration group, a physical-interface redesign for NASA's lunar terrain vehicle dashboard, and — as co-founder of Tabl AI — using generative models to make parametric CAD editing feel intuitive instead of brittle.
I care about signal integrity as much as software architecture, and about tools that make the next engineer's onboarding faster, not slower.
Joining Zipline's New Products team to work across computational physics modeling, drone simulation and modeling, motor controls software, and signal processing / noise suppression for next-generation autonomous delivery aircraft.
Systems Integration (Summer 2026) — Developed SIL test suites for LOC diagnostics across all vehicle zones for CI/CD regression testing, root-caused false-failure DTC triggers, and prototyped memory-safe concurrent OBD data processing utilities.
Embedded Systems, SDE (Summer 2025) — Built a Bazel-integrated OBD data-capture framework for BMS diagnostics across ECUs and platforms, integrated codegen for domain-specific diagnostic monitors, and debugged bench-vs-fleet discrepancies using UDE and UDS clients.
Electrical Lead (June 2025 – Present) — Leading a 100+ member electrical team, setting design standards and onboarding new engineers each semester; expanded the sensor suite with advanced filtering for precise SoC estimation and control algorithms.
HV PCB & Firmware Developer (Aug 2024 – June 2025) — Developed C++ BMS firmware on STM32 over IsoSPI daisy-chain telemetry, validated fault-free CAN/Ethernet communication, and characterized signal integrity with oscilloscopes and logic analyzers.
Co-founded Tabl AI (SX S25 Cohort), leading UI/UX design and AI-powered feature-tree generation for intuitive parametric CAD editing. Building DFM and supply-chain engineering agents using retrieval-augmented generation for context-aware, parametric CAD interactions.
C++ perception pipeline using DBSCAN point-cloud clustering on the FSOCO dataset, with pixel filtering parallelized across OpenMP and custom CUDA kernels for up to 1.43x throughput speedup. HSV/RGB kernels classify blue/yellow cones across lighting conditions.
MPI C++ simulation with row decomposition and non-blocking halo exchange to overlap ghost-row communication with compute — 6.88x speedup (86% efficiency) on 8 processes, modeling Turing patterns (coral, mitosis, maze) across an 8000-step grid.
Led a 6-person Vertically Integrated Project team fabricating dielectric-elastomer and electromagnetic actuators for soft robotic swimmers, including a compact variable high-voltage supply built around a Cockcroft-Walton multiplier for stable actuation.
Redesigned the physical interface and controls for NASA's Lunar Terrain Vehicle EdgeKey dashboard for high-brightness display environments, and supported SEV avionics refurbishment — updating schematics, labeling connections, and sourcing parts.
HyTech Racing — 2nd in Design, 1st in Acceleration
S25 Cohort, representing Tabl AI
Georgia Tech's flagship student startup competition