Software Engineer — Open to Roles in Canada

Vasu Manocha.

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01 — About

Hi, I'm Vasu.

Computer Science and Mathematics graduate from Memorial University of Newfoundland, St. John's. I build things that actually get used — my most recent project reached 2,000–3,000 HR professionals across India, the US, UK, and Mexico. That's the kind of real-world feedback loop I'm always chasing.

Right now I'm training for Ironman 70.3 and running 75 Hard at the same time. Four races on the 2026 calendar: 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 mathematics theorem with Dr. Danny Dyer at Memorial University. I've always been the "but why does this actually work" kind of person — it turns out that helps a lot with debugging. I also carry a 🧭 compass tattooGot it before I'd been anywhere. Still wearing it everywhere. everywhere I go.

Currently looking for exciting opportunities in Software, Backend, or Data Engineering across 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

Built the JD Optimizer Agent end-to-end — LLM-powered platform adopted by 2,000–3,000 HR professionals across 4 countries for job description rewrites, skill extraction, and bias detection. Architected a serverless AWS backend (Lambda, API Gateway, S3, DynamoDB) supporting multiple internal AI tools. Also delivered the Interview Prep Agent and led the Data Fellowship 2025 cohort as Squad Leader.

Python FastAPI LLM LangChain AWS PostgreSQL Docker
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 with Dr. Danny Dyer. Spent a summer working through proofs, LaTeX, and the kind of problems that don't compile — they either converge or they don't. Ended up with my name on something that'll outlive any code I've ever written.

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 —
Tely 10 Training Plan

Free, personalized 7-week training plan generator for the Tely 10 road race. Enter your current pace and the plan adapts your weekly mileage, long runs, and race-day targets to get you to the finish line.

JavaScriptVite REST APIRunning
02 —
FitAccess

Gym discovery is genuinely broken — so I built a fix. Geolocation search, real-time availability, Maps API integration. Reached 2–3k active users. Full-stack: Next.js frontend, FastAPI backend, PostgreSQL, containerized with Docker.

Next.jsTypeScript FastAPIPostgreSQL DockerMaps API
03 —
2D Game Engine

Built a game engine from scratch in C++ to understand how the fundamentals actually work — not just use Unity. Scene graph, physics, collision detection, sprite rendering, event system. Watch the demo.

C++SDL2 PhysicsOpenGL
04 —
JD Optimizer

LLM-powered platform that rewrites job descriptions, extracts skills, and detects bias. Built end-to-end at Apexon — adopted by 2,000–3,000 HR professionals across India, the US, UK, and Mexico. Serverless AWS backend: Lambda, API Gateway, S3, DynamoDB.

PythonLangChain FastAPIAWS PostgreSQLDocker
05 —
Whatchu Cooking?

Cross-platform mobile app for social recipe sharing, collaborative cookbooks, and potluck planning. Built in a 4-person agile team. Owned the full recipe module — voice-to-text input, image uploads, real-time Firestore sync, Firebase Auth.

FlutterDart FirebaseRiverpod
06 —
eVerify

Email validation API — SMTP verification, disposable email detection, MX record lookup, bulk endpoints. Built to solve a real deliverability problem: garbage email lists that slip through without validation. Fast, accurate, production-ready.

PythonFastAPI SMTPDNS
07 —
Netflix Clone

Full-stack Netflix UI replica — responsive layout, dynamic content rows, hover interactions, and user auth. Built with vanilla HTML, CSS, and JavaScript. No framework, no shortcuts. Good exercise in DOM fundamentals.

HTMLCSS JavaScript
08 —
Mathematics Research Papers

Research conducted with Dr. Danny Dyer at Memorial University. Topics: Cops and Robbers problem on circulant graphs, Dynamic Mode Decomposition, and the Gray-Scott reaction-diffusion model. Full papers available to download directly.

Applied MathematicsGraph Theory MATLABLaTeXResearch
09 —
Lucy — Voice Assistant

Voice assistant with NLP-based intent parsing, context retention across turns, and pluggable skill modules. Handles scheduling, queries, and system commands. Built the intent layer from scratch — not a wrapper. Later adopted internally at Apexon.

PythonNLP Speech RecognitionAI
10 —
Face Recognition Model

Real-time face detection and recognition using deep learning — runs entirely on-device. Originally built for an automated attendance system. Accurate, fast, and works in variable lighting.

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.