Jared Fernandez
Graduate Student Researcher
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJared Fernandez is a PhD candidate and graduate student researcher at Carnegie Mellon with a decade of experience building and researching AI systems that bridge academic rigour and production-scale engineering. His work focuses on measuring and reducing the environmental and energy costs of machine learning workloads, informed by internships and research stints at Meta FAIR and Google Research where he contributed to language, perception, and product-facing systems. He combines systems-level thinking from a Computer Science & Electrical Engineering background with hands-on software engineering at Google (Search, DialogFlow, Assistant), enabling practical, energy-aware interventions that matter in deployed ML. Based in Pittsburgh, he brings both teaching experience in ML and AI and a track record of moving ideas between labs and industry, often emphasizing measurable efficiency gains rather than theoretical improvements alone.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science & Electrical Engineering, Bachelor of Science (B.S.) Computer Science & Electrical Engineering at Northwestern UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
Github Skills (18)
dataset-generation9
image-text8
word-embeddings8
similarity8
representation-learning7
datasets7
texture7
vision-and-language7
weather5
pytorch5
transformers4
foundation-models3
dall-e2
openai2
gpt1
Programming languages (2)
Github contributions (5)
JaredFern/stsim
Oct 2018 - Dec 2022
Objective metrics for measuring visual texture similarity using STSIM features. Supervised by Thrasos Pappas.
Contributions:25 commits, 6 PRs, 20 pushes in 4 years 2 months
supervisedsimilaritymeasuringtexturemetrics
JaredFern/Framework-Tax
Sep 2021 - Oct 2023
Contributions:4 PRs, 106 pushes, 1 branch in 2 years 1 month
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