Summary
Abel Gomez is an R&D cybersecurity systems engineer and PhD in Computer Science with eight years of experience bridging academic research and production-ready software. He leads small engineering teams and has organized, managed, and delivered over 30 projects spanning reinforcement learning for cyber-physical systems, IoT privacy, and secure embedded device proofs of concept. At Sandia National Laboratories he translates cutting-edge research into practical tooling and evaluations (Python, C, Go, VHDL) while earlier roles in healthcare IT honed his requirements, testing, and operational delivery skills. Known for dependable communication and technical leadership, he combines deep academic rigor (PhD research assistant) with hands-on full-stack development and systems design. An interesting thread through his work is applying ML/RL methods to real-world security problems, evaluating algorithms across heterogeneous CPS environments. Based in the Albuquerque–Santa Fe area, he brings both high-assurance research experience and pragmatic engineering to security R&D challenges.
8 years of coding experience
7 years of employment as a software developer
Doctorate, Computer Science, 3.8/4.0, Doctorate, Computer Science, 3.8/4.0 at The University of Texas at El Paso
Summer Research, Computer Science, N/A, Summer Research, Computer Science, N/A at Universidad Autónoma de Yucatán
Academic Exchange, Computer Science, Academic Exchange, Computer Science at The University of New Mexico
Bachelor’s Degree, Computer Science, 9.18/10, Bachelor’s Degree, Computer Science, 9.18/10 at Universidad Autonoma de Ciudad Juarez
French, English, Spanish