Thomas Smoker Email & Phone Number
Who is Thomas Smoker? Overview
A concise factual answer block for searchers comparing this professional profile.
Thomas Smoker is listed as Technical Founder at WhyHow | PhD (Computer Science) | Knowledge Graphs at WhyHow.AI, based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Thomas Smoker.
Thomas Smoker previously worked as Co-Founder at Whyhow.Ai and Investor at Hitchhiker Ventures. Thomas Smoker holds Doctor Of Philosophy (Phd), Computer Science from The University Of Western Australia.
Email format at WhyHow.AI
This section adds company-level context without repeating Thomas Smoker's masked contact details.
Review company-level records connected to Thomas Smoker before choosing the right outreach path.
About Thomas Smoker
Experienced machine learning engineer across multiple domains, working from data-informed ideation to managed deployment. Specialised in Natural Language Processing (NLP), generative AI and Knowledge Graphs (KGs).
Listed skills include Data Analysis, Research, Python, Machine Learning, and 4 others.
Thomas Smoker's current company
Company context helps verify the profile and gives searchers a useful next step.
Thomas Smoker work experience
A career timeline built from the work history available for this profile.
Investor
CurrentWe are global, early stage, sector-opportunistic, serial entrepreneurs and venture capitalists.
Machine Learning Consultant
Advising / developing on various projects / startups. All engagements are end-to-end from strategy to managed deployment. Contracts include:* Semantic search using custom vector database (Pinecone, Marqo), Generative AI tooling (Langchain, LlamaIndex, Griptape) and LLMs (OpenAI, Llama-2, Cohere), used through Slack and Discord bots, hosted (Render, fly.io).
Machine Learning Engineer
* End-to-end ML pipeline built and maintained using scikit-learn and Tensorflow* Models include XGBoost for downtime prediction, LSTMs for time-series forecasting and autoencoders for rare event classification* Model deployment tested and managed on AWS Sagemaker using Docker and Postman
Senior Data Scientist
* Time series analysis of sensor data in Python and associated packages (Numpy, Pandas, GeoPandas)* Explanatory Jupyter Notebook development for broader team use * Problem identification and stakeholder engagement with remote and site-based operations
Associate Lecturer
Quantitative Trading Intern
Research Assistant
Working in the UWA Engineering System Health Lab (SHL) under the supervision of Professor Melinda Hodkiewicz. https://uwa.engineering
Academic Tutor
- CITS5508 - Machine Learning
- Semester 1 / 2022CITS4012 - Natural Language Processing
- Semester 1 / 2022
- Semester 1 / 2021CITS3403 / CITS5505 - Agile Web Development
- Semester 1 / 2021
- Semester 1 / 2020
Data Scientist
Data Scientist
Technology Intern
Thomas Smoker education
Doctor Of Philosophy (Phd), Computer Science
Masters Of Professional Engineering (Mpe), Software Specialization
Bachelor Of Science (Bsc), Engineering Science / Data Science
Education record
Frequently asked questions about Thomas Smoker
Quick answers generated from the profile data available on this page.
What company does Thomas Smoker work for?
Thomas Smoker works for WhyHow.AI.
What is Thomas Smoker's role at WhyHow.AI?
Thomas Smoker is listed as Technical Founder at WhyHow | PhD (Computer Science) | Knowledge Graphs at WhyHow.AI.
Where is Thomas Smoker based?
Thomas Smoker is based in San Francisco Bay Area, United States, United States while working with WhyHow.AI.
What companies has Thomas Smoker worked for?
Thomas Smoker has worked for Whyhow.Ai, Hitchhiker Ventures, Freelance, Bhp, and The University Of Western Australia.
How can I contact Thomas Smoker?
You can use AeroLeads to view verified contact signals for Thomas Smoker at WhyHow.AI, including work email, phone, and LinkedIn data when available.
What schools did Thomas Smoker attend?
Thomas Smoker holds Doctor Of Philosophy (Phd), Computer Science from The University Of Western Australia.
What skills is Thomas Smoker known for?
Thomas Smoker is listed with skills including Data Analysis, Research, Python, Machine Learning, Data Science, Python, R, and Git.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial