Summary
Fernando Davis is a backend software engineer and graduate researcher with eight years of experience blending production engineering and academic research in image processing, ML, and NLP. Currently balancing roles as a Backend Engineer at Inkit and a Graduate Research Assistant at UPR Mayagüez, he contributes to the HASPNeL hybrid parser and neural lexicon work in computational linguistics. His background spans cybersecurity tooling, scientific computing (SCICO/JAX), and full-stack product delivery for public-sector projects, reflecting comfort across Python, backend systems, and performance optimization. Fernando has a track record of improving indexing and processing performance in both industrial and research settings, and helped shape release roadmaps and documentation practices at Los Alamos. He moved from a PhD program in signals and image processing to applied MS research, signaling a pragmatic shift toward deploying ML/NLP solutions. Based in Rincón, Puerto Rico, he pairs strong debugging and mentoring experience with a curiosity for advancing image and language technologies.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at University of Puerto Rico, Arecibo
Doctor of Philosophy - PhD in Hiatus, ECE Signals and Image Processing, Doctor of Philosophy - PhD in Hiatus, ECE Signals and Image Processing at Purdue University
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of Puerto Rico-Mayaguez
English, Spanish