Oliver Perrin — Lead ML Engineer

Oliver Perrin — Lead ML Engineer Oliver Perrin · lead ml engineer Production ML, with the research discipline to back it. Boone, NC · B.S. CS, App State 2026 · oliver.t.perrin@gmail.com Machine Learning Engineer & Researcher with a dual focus on empirical research and production deployment. I'm the sole MLE at a stealth, pre-launch startup — I joined as a senior-year intern after my capstone became the initial production system, and I've since stepped into the role full-time, owning all ML architecture, research, and production decisions in direct collaboration with the founder. On the research side I'm finishing an EMNLP 2026–targeted preprint on multi-task learning, built on top of a 272M-parameter encoder-decoder transformer I implemented from scratch. I also build LiminalML— a structured path to ML/SWE interviews, grounded in the candidate's own work. Now Current focus Working Lead ML Engineer at a stealth, pre-launch startup — sole MLE on a 10-person team (founder + 8 SWEs). SBERT-based attribute/unit harmonization, schema-agnostic ingestion, and a real-time ML operations dashboard now feeding the database, browser extension, mobile app, and web platform. Building LiminalML— a structured, non-skippable path to ML/SWE interviews across 157+ topics, grounded in the candidate's own resume. Researching LexiMind — 272M-param encoder-decoder transformer from scratch, MTL across summarization / topic classification / emotion detection. arXiv preprint, EMNLP 2026 target. Reading Stanford`CS336`(Language Modeling from Scratch) and`CS224R`(Deep RL) — full lectures, notes, exams. Highlights Selected work Picked for depth — full project list and experience are a click away. LexiMind Research 272M-parameter transformer from scratch, MTL with learned attention pooling and temperature-based task sampling. Emotion F1 0.199 → 0.352 (+77%). Read more → LiminalML Product A structured, resume-grounded path through 157+ ML/SWE interview topics in