Stephen Bottos
Senior Applied AI Scientist at Engine
Victoria, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolStephen Bottos is a Senior Applied AI Scientist with 8 years of experience building reliable, cost- and latency-conscious ML systems that run from int8 microcontrollers to agentic multimodal LLM pipelines. He has led cross-functional ML initiatives, shipped MLOps infrastructure that supports thousands of production models across tens of thousands of edge devices, and reduced internal content-generation cycles from days to minutes using RAG-enabled reflection patterns. His work spans vision, text, audio, and LiDAR, and he has applied foundation models (CLIP, Owl-ViT) and vector DBs to accelerate zero-shot detection, auto-labeling, and dataset curation at scale. He holds an MS in Electrical and Computer Engineering, is a Google Cloud Professional ML Engineer, and is a named inventor on a commercially deployed object re-identification patent. Stephen blends research rigor—three first-author publications—with hands-on engineering, from int8 quantization for ESP32s to orchestration with Airflow, MLflow, and Vertex AI. Based in Victoria, BC, he’s known for turning experimental multimodal research into production-grade, revenue-generating systems.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of Windsor
English, Spanish
Github Skills (64)
pytorch10
python10
stylegan10
machine-learning10
deep-learning10
natural-language-processing10
nlp10
scenic10
transformers9
image-stitching9
language-model9
bert9
tensorflow9
clip9
3d-reconstruction9
Programming languages (4)
Github contributions (5)
stevebottos/bullish
Feb 2021 - Feb 2022
a stocks management tool
Contributions:20 commits, 6 PRs, 17 pushes in 11 months
financemanagement-toolstockstocks
stevebottos/workout_tracker
Mar 2020 - May 2020
Contributions:31 commits, 25 pushes, 5 branches in 1 month
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