Keira
2023An AI companion for dementia patients at Bruyère, with ElevenLabs voice and end-to-end encryption. Built for people who need patience more than speed.
Voice AIHealthEncryption
I build AI people actually use
Someone describes a thing that doesn't exist yet, and I build the version people can hold. Then I keep it alive once they start depending on it.
00 · Start here
Ideas are cheap. Working software isn't.
I'm Reza Amini Gougeh. I take AI ideas and turn them into things people actually use: a voice assistant a patient can talk to, a pipeline that catches Parkinson's in a recording, a search engine that cites its sources instead of making them up.
Most of my work has been in health, where being wrong has a cost and nobody cares how clever the architecture is. I've also built for consumer hardware, and I ran my own company until I sold it.
I move between fields on purpose. Every one of them breaks your assumptions in a different way, and you only learn the new thing by being somewhere unfamiliar. The tools carry over. The instincts have to be rebuilt each time. Right now that means legal tech and very large piles of documents.
I care about the boring parts too. Data that's clean, models you can explain, systems that stay up. That's usually where a good demo turns into a real product.
Reza Amini Gougeh
Montréal, QC
- Now
Founder, building something new in legal tech
- Shipped at
- HuaweiJewish General HospitalAmplifier HealthJuztina
- Also
One startup, built and sold
- Speaks
Azerbaijani, Persian, English, French
01 · Work
Where I've built things
Seven roles, mostly in health AI and applied research. The common thread is getting models out of notebooks and into production.
Feb 2026 – Present
Founder
Building something new in legal tech, Montréal / Remote
- Early-stage work on an AI product for legal teams. Too soon to say much publicly.
- Same pattern as last time: build the thing, put it in front of people, keep what works.
Dec 2025 – Present
AI Lead
Juztina LLC, Remote
- Built the AI pipelines and data infrastructure behind the platform, and tuned LLM performance in production.
- The AI features cut churn by 10% and lifted feature adoption by 25%. Deployed on Azure and AWS EC2.
Oct 2025 – Feb 2026
Founder & Applied AI Engineer
Stealth AI Startup, Montréal / Remote
- Shipped a full-stack AI product on my own: web platform, voice AI, audio features, plus RAG pipelines and a citation engine over a large document corpus.
- Made every technical call, then sold the company and the technology behind it.
Feb 2025 – Oct 2025
AI Engineer
Amplifier Health, Remote
- Built the data pipelines and AI infrastructure, and put deep learning models into production for medical use, including Parkinson's detection.
- Ran the stack on GCP Cloud Run and AWS EC2.
2024 – 2025
Lead Machine Learning Engineer
CIUSSS West-Central Montreal / Jewish General Hospital, Montréal, QC
- Led the AI work for precision medicine in the mental health department at the Lady Davis Institute.
- Took models from research question to something clinicians could actually use.
2023 – 2024
HCI Research Engineer
Huawei Technologies, Markham, ON
- Built AI and IoT features for phones, homes, and cars, and cut system latency by 20%.
- Prototyped ideas, demoed them, and contributed to patents.
Feb 2023 – Apr 2023
Full-Stack Developer & AI Specialist
UQO / Élisabeth Bruyère Hospital, Ottawa, ON
- Built a virtual companion for patients in Unity, running on the ChatGPT API.
- Improved speech recognition and text-to-speech, and engagement went up 55%.
2021 – 2023
Machine Learning Engineer
CIUSSS West-Central Montreal / Jewish General Hospital, Montréal, QC
- Worked on DREAM BIG, a consortium of 10+ institutions studying how genes, prenatal adversity, and early childhood environment shape children's wellbeing.
- Built federated-learning decision support systems and hardened the models to keep sensitive data safe.
02 · Projects
A few I'm proud of
Some were research, some were weekend builds, some turned into products. All of them ran.
03 · Writing
Notes from the build
Model architectures, things I got wrong, hackathon writeups, and the occasional post about moving to a new country.
04 · Publications
Peer-reviewed work
Four that matter, in plain language. The rest are on Scholar.
Systematic Review of IoT-Based Solutions for User Tracking: Towards Smarter Lifestyle, Wellness and Health Management
Sensors · 2024
What the wearables field has actually managed to measure about people, and where the claims outrun the evidence.
Optimizing Auditory Immersion Safety on Edge Devices: An On-Device Sound Event Detection System
Odyssey · 2024
VR headsets cut you off from the room. This runs sound-event detection on the headset itself, so it can warn you without sending any audio away.
Multisensory Immersive Experiences: A Pilot Study on Subjective and Instrumental Human Influential Factors Assessment
QoMEX · 2022
We added smell, wind and touch to VR and measured whether people actually felt more present, instead of asking them afterwards.
Towards instrumental quality assessment of multisensory immersive experiences using a biosensor-equipped head-mounted display
Quality and User Experience · 2023
Putting biosensors in the headset so the quality of an experience can be measured while it happens.
05 · Skills
What I'd vouch for
Graded by what I'd be comfortable owning in production, not by a percentage. Each line links to where it ran.
I'd own this in production
Shipped to production and I have debugged them under pressure.
- PythonEvery project here
- RAG pipelines and citation enginesBuilt and sold
- PyTorch, deep learning in productionAmplifier Health
- FastAPI and service deploymentGCP Cloud Run, AWS EC2
- PostgreSQL, Supabase, pgvectorRetrieval over large corpora
- LangChain, LangGraph, LangSmithAgent orchestration
- Docker and CIEvery deployment
Solid, give me a day to warm back up
Built real things with these, just not this month.
- Unity and VRBruyère patient companion
- EEG and biosignal processingMSc thesis, INRS
- KubernetesUsed in anger
- TensorFlowMedical imaging work
- Azure and DatabricksJuztina
- MLflow, DVC, Weights & BiasesExperiment tracking
- StripeBilling on my own product
- Machine learning
- Python, PyTorch, TensorFlow, scikit-learn, pandas, NumPy, SHAP, LIME
- LLMs and RAG
- RAG design, LangChain, LangGraph, LangSmith, OpenAI, Gemini, Claude, Retell.ai voice AI
- Data and storage
- PostgreSQL, Supabase, Milvus, Qdrant, pgvector
- Shipping and ops
- Docker, Kubernetes, GCP, AWS, Azure, CI, MLflow, DVC, Weights & Biases
- Product surface
- FastAPI, Flask, Django, Streamlit, Stripe, Unity
06 · Contact
Say hello
If you're building something in AI and want another pair of hands on it, or you just want to talk about a problem, reach out on LinkedIn or GitHub. I answer.