Machine Learning & AI
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face
- LLM Fine-Tuning (FLAN-T5)
- RAG Pipelines
- Computer Vision
- Reinforcement Learning
About
About Me
Software Developer Data Scientist AI/ML Engineer Entrepreneur
The shortest version: I build machine learning systems and AI systems.
There is a thread that runs through all of it. I want to know how things work. Not the surface answer, the one underneath. What is the mechanism. Where does it break. Whether the explanation we hand each other is real or just a story we tell to feel less unsure.
That instinct is what drew me to physics first, then to AI. A model that returns the right answer for the wrong reason is, in a real way, a model that does not work yet. I find this question interesting in roughly the same way I find people interesting. We are all running on something underneath. I would like to know what.
I work as a Software Developer at metricHEALTH Solutions, on a team that received the 2024 Barrie Mayor's Award for Research and Innovation. I am also a Library Associate at Barrie Public Library, where I spent a year designing and teaching a youth STEM program because I believe public libraries are one of the last places in our world where access still means access. I sit on a research and evaluation committee for the Ontario Public Library Association.
Outside of all of that, I read more books than is probably useful. I go for biking when the weather allows it. I am working on being kinder to strangers and faster at email.
If any of this resonates and you are building something in scientific AI/ML, MLOps tooling, or interpretable ML, I would like to hear from you. Remote or relocation, both work.
My Motto — Ad astra per aspera. Through hardships, to the stars.
Range
What I do, in one paragraph
Software developer at metricHEALTH Solutions in Barrie, Ontario, working on clinical data pipelines, FHIR integrations, automated test infrastructure, and production MLOps for healthcare reporting. Background in physics and mathematics, with two postgraduate certificates from Georgian College in Big Data Analytics and AI Design and Implementation. Two research papers in preparation: interpretability of a LightGBM stellar spectral classifier on Gaia-ESO Survey UVES data, and a paired-data RAG study on structured FHIR versus LLM-narrative retrieval for clinical question answering. Outside metricHEALTH, I serve as a Library Associate at Barrie Public Library and contribute to the Ontario Public Library Association's Research and Evaluation Committee, where I helped present results from the OPLA Employee Psychological Safety Survey at the OLA Super Conference. I served on the board of Firebird Community Cycle from September 2022 to March 2026. The metricHEALTH team I work with received the City of Barrie's Mayor's Award for Research and Innovation in 2024. The thread through it all: technology that holds up under real conditions for the person using it.
Recognition
2024
Mayor's Award for Research and Innovation
City of Barrie
Team award for FHIR-aligned healthcare data work at metricHEALTH.
2024
OLA Super Conference Co-presentation
Ontario Library Association
Psychological safety in public-library research.
2024
2nd Place, Generative AI Hackathon
Georgian College
2022, 2023
Georgian Scholar / Dean's List
Georgian College
Skills
Healthcare & Compliance
- FHIR
- HL7 Interoperability
- SOC 2
- Clinical Data Pipelines
- OAuth Multi-Platform Auth
Data Engineering & MLOps
- ETL Pipelines
- Apache Kafka
- Apache Spark
- CI/CD (GitHub Actions)
- Kubernetes (GKE)
- Docker
Generative & Quantum ML
- Generative AI
- Diffusion / Gradient Origin Networks
- Quantum Machine Learning
- Pauli & ZZ Feature Maps
Languages & Tools
- Python
- TypeScript
- SQL
- R
- Scala
- C++
- Git
- Linux
Selected writing
- Representation Wins on QA, Not on ML: A Paired-Data Comparison of Structured FHIR and LLM-Narrative Retrieval · arXiv preprint · 2026
- Causal masked-line ablation reveals partial shortcut learning in a tree-based MK classifier of Gaia-ESO UVES spectra · arXiv preprint · 2026
- QML-Essentials: 21 weeks of quantum machine learning, honestly graded · 2026
- FHIR for AI/ML Engineers · 2026
- From Physics PDEs to PyTorch · 2026
- Dismantled by Design · 2025
Newsletter · weeklyAn Anxious Nomad CollectiveA weekly Substack on the ideas I am chasing, what I am reading, the essays and poetry I draft between projects, and short field notes from a physicist-turned-engineer trying to keep both halves honest.ananxiousnomadcollective.substack.com →Podcast · volunteer researcherRoots of RealityA Big History podcast by Ben Baumann that traces our world from the formation of the universe to the present. I volunteer as a researcher and content writer, vetting sources and drafting articles and social-media copy that bring Canadian and Indian perspectives into the show's published material.rootsofreality.com →
What Colleagues Say
"TJ is an effective communicator with customers of all ages. He provides tech demos that are both engaging and educational."
Sandra Sydor
CEO, East Gwillimbury Public Library (MA Leadership, MLIS)
Education
- 2021 to 2022
Ontario College Graduate Certificate, AI Design and Implementation
Georgian College · Barrie, ON
Georgian ScholarDean's ListAI Algorithms & MathematicsNeural NetworksVision SystemsReinforcement LearningAI Infrastructure & ArchitectureConversational AILab / Research highlights
- Capstone (AIDI 1011): end-to-end ML project
- CV / RL / NLP systems across PyTorch and TensorFlow stacks
- 2022 to 2023
Ontario College Graduate Certificate, Big Data Analytics
Georgian College · Barrie, ON
Georgian ScholarDean's ListData Systems ArchitectureData ProgrammingEnterprise AnalyticsBusiness IntelligenceSocial Data MiningMath for Data AnalyticsLab / Research highlights
- Capstone (BDAT 1011): applied data analytics research project
- Business Processes & Modelling, top of cohort
- 2017 to 2020
Bachelor of Science, Physics (Major) & Mathematics (Minor)
Mithibai College, University of Mumbai · Mumbai, India
Quantum PhysicsQuantum Mechanics & Wave EquationsAtomic & Molecular PhysicsMathematical PhysicsStatistical MechanicsSolid State & Nuclear PhysicsClassical Mechanics & ElectrodynamicsC++ / VHDL / AVRLab / Research highlights
- Quantum coursework: Schrödinger wave equations, hydrogen atom, harmonic oscillator, spin-orbit coupling, Zeeman effect, Raman spectroscopy, de Broglie waves, Heisenberg uncertainty
- Quantum experiments: Franck-Hertz (energy quantisation), electron spin resonance, quantum tunnelling in tunnel & backward diodes, semiconductor band-gap, photoelectric effect
- Additional lab work: Michelson interferometry, Hall coefficient, GM counter; digital design in VHDL on Xilinx; embedded prototyping with Arduino & AVR
Awards
Barrie Mayor's Award for Research and Innovation
City of Barrie · 2024
2nd Place, Generative AI Hackathon
Georgian College · 2024
Georgian Scholar
Georgian College · 2022, 2023
Certifications
Google Advanced Data Analytics Professional Certificate
Google / Coursera · July 2025
Google Data Analytics Professional Certificate
Google / Coursera · June 2024
Further Faster Business Certification
Further Faster · 2024
Ryan Dowd Homelessness De-escalation Training
Ryan Dowd · 2024