Alec Hoyland
Senior Machine Learning Engineer at Jaxon.AI
Worcester, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAlec Hoyland is a Senior Machine Learning Engineer with eight years of experience bridging computational neuroscience and applied AI, currently building trustworthy, formally constrained LLM systems at Jaxon.AI. He has led R&D and production deployments for federal and public-sector customers, specializing in fine-tuning, quantization, dataset curation, and metrics optimization for large language and vision models. Alec’s background in neuroengineering and signal processing informs robust approaches to noisy real-world data—he’s developed VAEs/GANs for radar denoising and unsupervised preprocessing that boosted detection AP by ~35%. He has a track record of technical leadership on multi-million dollar projects, proposal writing, and accelerating research codebases (including 100x speedups for neural data pipelines). Based in Worcester, MA, Alec combines deep scientific rigor from graduate neuroscience work with pragmatic ML engineering to make mission-critical AI both performant and auditable. An engineer who learned his craft modeling neural circuits, he brings an uncommon blend of theoretical insight and production-first delivery.
9 years of coding experience
11 years of employment as a software developer
Master of Science - MS Neuroscience, Master of Science - MS Neuroscience at Brandeis UniversityDoctor of Philosophy - PhD (Incomplete) Biomedical Engineering, Doctor of Philosophy - PhD (Incomplete) Biomedical Engineering at Worcester Polytechnic InstituteBedford High SchoolNon-Degree Student Engineering, Non-Degree Student Engineering at Boston University
English, French, Latin, matlab, julia, c++, python
Stackoverflow
11reputation
251reached
1answer
0questions
Github Skills (83)
neuron-simulator10
matlab10
simulation10
julia9
cpp9
visualization9
biomedical-engineering9
clang8
ffi8
neuroscience8
toolbox7
snakeyaml7
representations7
correlation7
automated-build7
Programming languages (13)
Github contributions (5)
hasselmonians/RatCatcher
Jan 2019 - May 2020
A general tool for passing data to the cluster
Contributions:47 PRs, 273 pushes, 52 branches in 1 year 4 months
clusterkubernetespassing
marderlab/xolotl-paper
May 2018 - Jul 2019
Paper describing the xolotl neuron and network simulator. Includes Latex source and MATLAB code to reproduce every figure in the paper.
Contributions:398 commits, 1 PR, 1 push in 1 year 2 months
latexmatlab
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