Education
Georgia Institute of Technology
B.S. in Computer Engineering
Expected May 2028 · Atlanta, GA
A / ABOUT
Education, skills & interests
Skills
- Languages
- C, C++, C#, Python, SystemVerilog
- Embedded
- FreeRTOS, ESP-IDF, device drivers, HAL, multithreading
- Interfaces
- I²C, SPI, UART, SCPI, digital I/O
- Tools
- CMake, GDB, Git, Jenkins, .NET, TensorFlow, Snowflake
- Verification
- UVM, RISC-V, branch prediction
Interests
embedded systemscomputer visionhardware verificationchesscharcoal drawingphysical computinghardware acceleratorsHW/SW co-design
B / EXPERIENCE
Selected experience
Silicon Jackets · Georgia Institute of Technology
Design Verification Engineer
Developing a SystemVerilog/UVM testbench to verify branch-target prediction in a RISC-V processor.
Intuitive
Software Engineering Intern
- Developed a C instrument driver for a high-voltage insulation tester, from configuration through measurement retrieval and error handling.
- Built asynchronous monitoring around a mutex-protected 8,192-sample circular buffer.
- Cut direct serial query latency by 45% versus NI-VISA in benchmark testing.
Moderna
Technical Development Co-op
- Built a C#/.NET hardware station that ran more than 300 device tests per day.
- Designed a 15+ state sequence for I/O, measurement, acquisition, and pass/fail logic.
- Created hardware abstraction layers that reduced hardware-dependent development and test cycles by 50%.
Sulchek BIOMEMS & Biomechanics Lab · Georgia Tech
Undergraduate Researcher
- Built a Python/TensorFlow CNN pipeline to locate microfluidic clogging across nine regions, reaching 97% validation accuracy.
- Extracted and labeled 3,000 microscopy frames with regional cropping, normalization, and augmentation.
- Used per-region persistence at 100 ms intervals to distinguish sustained blockages from transient predictions.
C / FEATURED PROJECT
Chess Specs
Embedded computer vision chess assistant
camera → board → move
A pair of glasses that watches the board, reconstructs the position, and computes a move on-device.
- 01See
Capture 640 × 480 frames on an ESP32-S3 using ESP-IDF and FreeRTOS.
- 02Understand
Track square changes to infer moves from the standard starting position.
- 03Think
Search with minimax, alpha-beta pruning, iterative deepening, and material/position evaluation.
- 04Coordinate
Keep vision, search, and UI tasks in sync with queues and position versioning.
D / CONTACT