π M.S. student in Computer Engineering at Texas A&M University
π§ Pre-silicon verification engineer with 3+ years of industry experience across Intel, Siemens EDA, and HPE Aruba Networking
π§ Researching LLM-driven verification automation, combining generative AI with formal methods
- Intel β Pre-Silicon Verification Engineer Intern (2026)
- Texas A&M University β Graduate Researcher & Teaching Assistant
- Intel β IP Logic Design Engineer (2024β2025)
- Siemens EDA β Design and Verification Engineer (2023β2024)
- HPE Aruba Networking β Verification Engineer (2022β2023)
- University of Costa Rica β Circuit Design Instructor
- LLM-Driven Assertion Generation with Formal Qualification β Python, SystemVerilog, JasperGold
An LLM-agent framework for generating SystemVerilog assertions and using UVM environment. - Functional Verification of MESI Protocol in a Quad-Core Multiprocessor β SystemVerilog, UVM
UVM environment with SVA to verify cache coherence across per-core MESI L1 caches, a shared L2, and memory.
π Publication: Harnessing Design History and Machine Learning for Precise Delay Estimation in Open-Source EDA β CONCAPAN XLII, 2024
I'm open to full-time roles starting 2027 and collaborative projects in:
- Design Verification (UVM, SVA, Formal)
- Pre-Silicon Validation & Debug
- Machine Learning / LLMs for Hardware Verification
- Languages: Python, SystemVerilog, C, C++, TCL, Perl, Bash
- Methodologies: UVM, SVA, Functional Coverage, Constrained-Random Verification, Formal Property Verification
- Simulation & Debug: Synopsys VCS/Verdi, Cadence SimVision, Mentor Questa
- Formal & Signoff: Cadence JasperGold (FPV), Synopsys VC SpyGlass CDC
- UCIe, Cache Coherence (MESI), CDC/RDC, Power Intent (UPF), RTL Design
- Linux, Git, Vim, VSCode, JIRA, Large Language Models
π« Connect with me on LinkedIn
Feel free to reach out for opportunities or collaboration!
