CS and Math grad from Memorial University, St. John's. I build things that actually get used — my last project reached 2,000–3,000 HR professionals across India, the US, UK, and Mexico. That's the kind of feedback loop I'm after.
Right now I'm doing Ironman 70.3 training and 75 Hard simultaneously. Yeah, both at the same time. Four races this year: Toronto Marathon May 3rd, a 10-miler in St. John's June 28th, Sprint Tri July 26th, and the Ironman itself December 13th.
I ranked 1st nationally in Vedic Maths and co-authored a math theorem in university. I've always been the "but why does this actually work" kind of person. Turns out it helps with debugging. I also carry a 🧭 compass tattooGot it before I'd been anywhere. Still wearing it everywhere. everywhere I go.
Currently job hunting — open to Software, Backend, or Data Engineering roles anywhere in Canada. If you have something interesting, let's talk.
Shipped backend features and data integrations for enterprise clients. Built ETL pipelines, REST APIs, and worked across the stack depending on what the project needed. Got comfortable with the full loop: design, build, test, deploy, watch it break in prod, fix it, repeat. Worked with HR tech products — which is why 2–3k HR people across four countries ended up using what I built.
TA for CS courses across two years — labs, office hours, grading, the works. Explaining recursion to someone at 9pm who's had three coffees teaches you a lot about your own understanding. Best way to actually learn something is to have to teach it.
Co-authored a theorem in combinatorial mathematics alongside a faculty researcher. Spent a summer living in proofs, LaTeX, and "does this even converge?" Ended up with my name on something that'll outlive any code I've ever written. Still the most unexpected line on my resume.
First real internship. Conversational AI company — worked on backend features, got thrown into a codebase I didn't fully understand on day one, and figured it out. Confirmed that building things people actually talk to is genuinely interesting.
Built this because gym discovery is genuinely terrible everywhere. Geolocation search, real-time availability, Maps API integration. Ended up with 2–3k actual users. Containerized with Docker, PostgreSQL backend, FastAPI. Does what it says on the tin.
Wrote a game engine from scratch in C++ because I wanted to actually understand how this stuff works, not just use Unity. Scene graph, physics, collision detection, sprite rendering, event system. Watch the demo — it runs.
Email validation API. SMTP verification, disposable email detection, MX record lookup, bulk endpoints. Built because I got tired of seeing garbage email lists cause deliverability problems. Fast. Blunt. Works.
Voice assistant with actual NLP, context retention across turns, and pluggable skill modules. Scheduling, queries, system commands. Not a wrapper around an existing assistant — built the intent parsing myself. This one got used at Apexon.
Real-time face detection and recognition. Deep learning model, runs on-device. Built it for an attendance system. Works for anything that needs to know who's in frame.
Open to Software, Backend, and Data Engineering roles in Canada. Also happy to talk training plans, math, or whatever. I reply to everything.