SFU student exploring AI, cognitive systems, and computational models of learning.
I am most interested in neural networks, perception, language, model behavior, and the broader question of how intelligence gets built.
I am still early in that path, so the focus right now is on building strong foundations through small experiments, projects, and careful learning rather than overstating expertise. Quantum computing remains a long-term bet I take seriously.
- AI and cognitive systems
- Learning, perception, and language
- Model behavior and intelligent systems
- Computational models of cognition
- Quantum computing as a long-term direction
- ⭐ Active now: contributing to Situate Vancouver, a map-first city intelligence workspace for Metro Vancouver
- Building frontend features around mobility lenses, SkyTrain layers, richer map popups, and product interaction
- Adding engineering foundations like frontend tests, monitoring, and auth handoff work in multi-service web apps
- Growing through small technical experiments, coursework, and research-adjacent exploration
- ⭐ Situate Vancouver
Active project. Ongoing work on a city-scale mapping platform spanning React, MapLibre, Django, and FastAPI. - Spatial Audio Engine
Interactive Web Audio experiment around spatial perception and 3D sound placement. - Quantum Algorithms
Ongoing quantum computing work built around algorithms, simulation, and mathematical intuition. - Qibo contribution
Implemented a fast Walsh-Hadamard transform for Pauli-Liouville conversion. - quantumcat
Python repository for prototyping quantum algorithms and simulations.
- Portfolio: h33t589.github.io
- GitHub: github.com/H33T589
- LinkedIn: linkedin.com/in/heet--patel
- Email: hitkumarp589@gmail.com
Trying to make abstract questions about learning and intelligence a little more concrete.