Tom Smoker
San Francisco, California, United States
Summary
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SeniorThomas Smoker is a machine learning engineer and technical founder with 11 years of experience, currently co-founding WhyHow.AI in San Francisco. He holds a PhD in Computer Science focused on NLP and Knowledge Graph embeddings and has 8+ years as an MLE building end-to-end systems from ideation to managed deployment. His hands-on toolkit spans Python, FastAPI, Flask, Celery, Docker and AWS, and he’s delivered production semantic search, generative-AI tooling, LLM integrations and high-resolution computer vision pipelines for startups and enterprise clients. Past roles include embedded ML at BHP where he deployed forecasting and anomaly-detection models to SageMaker, and advisory work across vector DBs and agent frameworks like LangChain and LlamaIndex. He combines academic depth with product-first execution and a particular interest in decision making under uncertainty, which informs both his research and investor-facing work at Hitchhiker Ventures.
11 years of coding experience
Github Skills (16)
pixel8
open-source7
pixel-art7
knowledge-graph7
git6
python6
agent-framework5
genai4
llm4
harness4
image-generation3
ai3
pydantic2
neo4j1
graph-database1
Programming languages (6)
Github contributions (5)
whyhow-ai/knowledge-table
Oct 2024 - Apr 2025
Knowledge Table is an open-source package designed to simplify extracting and exploring structured data from unstructured documents.
Contributions:7 releases, 13 reviews, 36 PRs in 6 months
uwasystemhealth/modular_ontologies
Apr 2019 - May 2020
Material submitted to AMEST 2020
Contributions:4 commits, 1 PR, 2 pushes in 1 year 1 month
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