IC Design & Verification

KHANH
HA

RTL · SystemVerilog · UVM · Ph.D. CS

Software engineer transitioning into hardware design and verification. Building a foundation in RTL and UVM — bringing software rigor to silicon.

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THE
PIVOT

I'm a Ph.D. student in Computer Science at UT Arlington, pivoting from full-stack software development into RTL design and functional verification. The move is deliberate — hardware is where deep CS fundamentals meet real physical constraints.

My background in systems thinking, test automation, and debugging complex pipelines maps naturally onto verification engineering. I write code that tests code — at the gate level.

Currently building skills in SystemVerilog and UVM methodology while completing my Ph.D. research in intelligent systems. I believe the best verification engineers think like software engineers with hardware intuition.

2021 — 2024
B.S. Computer Science & Engineering — UT Arlington
2024
Web Developer Intern — AHA Dental (Full-stack, AWS)
2025 — Present
Software Engineer Intern — LippyAI (AI voice agents)
2025 — Present
Ph.D. CS (Intelligent Systems) + Hardware Transition →
Target
RTL Design / Verification Internship

STACK

▲ Hardware — Learning
SystemVerilog / RTL In progress
UVM Methodology In progress
Digital Logic Design Coursework
FPGA / Synthesis Exploring
Computer Architecture CS foundations
● Software — Proven
JavaScript / TypeScript Advanced
Three.js / WebGL Advanced
Python / ML (LSTM, XGBoost) Advanced
React / Next.js / Django Advanced
C++ / Java / Systems Proficient

WORK

RTL / Hardware
4-BIT ALU RTL

Designed and simulated a 4-bit arithmetic logic unit in SystemVerilog. Covers ADD, SUB, AND, OR, XOR operations with carry-out and zero flag. Testbench written with directed + randomized stimulus.

SystemVerilog ModelSim RTL Design
01
3D / WebGL
3D PORTFOLIO

Interactive 3D personal portfolio with real-time animations built in Three.js. Custom GLSL shaders and Blender-sculpted assets. Fully front-end rendered for zero-latency performance.

Three.js WebGL GLSL Blender
02
ML / Full-stack
TSLA PREDICTOR

Intraday Tesla stock trend predictor using a hybrid LSTM-XGBoost model. Forecasts close, high, low, MACD, and RSI for daily options signals. Full pipeline: Django + Next.js + automated data feed.

Python LSTM XGBoost Django Next.js
03
AI / Voice
AI VOICE AGENT

Built and customized AI voice agents at LippyAI for automated business call handling. Integrated hCaptcha for DDoS protection. Managed routing and deployment for production scalability.

AI/LLM Node.js hCaptcha DevOps
04
Contact

LET'S
CONNECT

Open to hardware internship opportunities · Summer / Fall 2026

khanht141v@gmail.com