Open to roles in Canada

Vasu Manocha.

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01 — About

Hi, I'm Vasu.

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.

Vasu Manocha
👥 0 HR pros reached
India · US · UK · Mexico
🌍 0 Countries explored
solo
🎓 0.00 GPA — Dean's List
both years
📐 0 Math theorem
co-authored
🏊 4 races on the 2026 calendar — Ironman 70.3 headlining
02 — Experience

Where I've
Built Things.

Software Engineer
Apexon
Jan 2025 — Mar 2026

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.

Python FastAPI PostgreSQL Docker AWS ETL
Teaching Assistant — Computer Science
Memorial University of Newfoundland
Jan 2023 — Dec 2024

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.

C++ Python Algorithms Data Structures
Research Assistant — Mathematics
Memorial University of Newfoundland
May 2023 — Sep 2023

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.

Research Combinatorics LaTeX Mathematical Proof
Software Developer Intern
Konverse.ai
Jun 2021 — Jul 2021

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.

Python NLP REST APIs Conversational AI
03 — Projects

Things I've
Shipped.

01 —
FitAccess

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.

FastAPIPostgreSQL DockerMaps APIPython
02 —
2D Game Engine

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.

C++SDL2 PhysicsOpenGL
03 —
eVerify

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.

PythonFastAPI SMTPDNS
04 —
Lucy — Voice Assistant

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.

PythonNLP Speech RecognitionAI
05 —
Face Recognition Model

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.

PythonOpenCV TensorFlowDeep Learning
04 — Skills

The Toolkit.

Languages

Python95%
SQL90%
JavaScript / TypeScript84%
C++80%
Java74%

Frameworks & Infra

FastAPI / Flask92%
Docker / Kubernetes86%
React80%
Apache Kafka79%
TensorFlow / PyTorch76%

Data & Cloud

ETL / Data Pipelines91%
PostgreSQL / MongoDB89%
Apache Airflow83%
AWS81%
Redis76%
05 — Beyond Code

The Other 12
Hours.

🏊
Swim
1.9 km
🚴
Bike
90 km
🏃
Run
21.1 km

Ironman 70.3 — Dec 13, 2026

Training for this while doing 75 Hard. 5am every day, no exceptions. 113 km total. No backup plan.

🚲 Opus Andante 👟 ASICS Novablast 5 (training) ⚡ ASICS MetaSpeed Sky Paris (race day)

2026 Race Calendar

May 3
Toronto Marathon
42.2 km — full marathon
Jun 28
NL 10-Miler
16 km — St. John's, NL
Jul 26
Sprint Triathlon
St. John's, NL
Dec 13
Ironman 70.3
113 km — the main event
Vasu — athlete and traveler
🏃
Marathon Runner
Toronto, May 3rd. First full marathon. Already nervous. Going anyway.
42.2 km
💪
75 Hard
Two workouts daily, no cheat meals, gallon of water, 10 pages. Every day. No misses.
Mental Toughness
🧭
Solo Traveler
4 countries solo. The compass tattoo went first — the travel followed.
Always Moving
⛰️
Mountains
Elevation over everything. I'll hike a mountain before I'll sit on a beach.
Peaks Ahead
🧮
Vedic Maths
National Rank 1. Speed arithmetic. Mental math as a competitive sport.
National Champion
📐
Theorem Author
Co-authored a math theorem in university. My name is on it permanently.
Published Research
06 — Contact

Let's Talk.

Open to Software, Backend, and Data Engineering roles in Canada. Also happy to talk training plans, math, or whatever. I reply to everything.