EE Honors @ Texas A&M · ML Researcher @ LIVE Lab
Interested in AI/ML, Embedded Systems, and VLSI.
| Focus | Edge AI, hardware acceleration, and intelligent embedded systems |
| Research | Machine Learning for hardware-aware and physical systems |
| Currently exploring | Computer Architecture, digital design, verification, and robotics |
Languages & Tools
Machine Learning
|
Compatibility enforcement for CMSIS-SVD register maps Published Python CLI and GitHub Action that detects breaking silicon-description changes before they silently corrupt embedded drivers. Result: Validated against 15 pinned vendor SVDs with a documented 22-rule compatibility contract.
Tags: Python · GitHub Actions · CMSIS-SVD |
Evidence-backed repository intelligence for coding agents Builds repository graphs with provenance, confidence, resolution, and file-level evidence for safer agent navigation and review. Result: Uses a frozen six-tool MCP interface and validated golden fixtures for deterministic repository analysis. Tags: Repository Analysis · Provenance · Agent Tooling |
|
Thermal-aware scheduling for many-core processors Uses calibrated Machine Learning predictions to reduce hotspot risk under changing workloads. Result: Under OOD workloads, the conformal scheduler recorded 0.0 ± 0.0 hotspot violations at 71.9 ± 1.2 °C. Tags: Machine Learning · Thermal Modeling · Computer Architecture |
Parameterized arithmetic and verification project Implements and tests a configurable arithmetic logic unit for RISC-V-oriented digital design. Result: Implements 10 RV32I ALU operations with deterministic and vector-driven random testbenches. Tags: Digital Design · RISC-V · Verification |
