BCS @ University of Manitoba (2021–2026) • Full-Stack + ML/AI • Kotlin / Java / Python
Building systems that ship: APIs, data pipelines, and ML workflows.
- Full-stack + backend: REST APIs, data modeling, services, integration layers
- ML/AI workflows: feature pipelines, time-series validation, model serving
- Automation: scripting + workflow orchestration to remove repetitive ops work
Available full-time: May 2026.
Languages: Kotlin, Java, Python, TypeScript/JavaScript, SQL, C/C++, Bash
Frameworks: Spring Boot, React, Next.js, Express.js, FastAPI
ML/Data: pandas, NumPy, scikit-learn, PyTorch, TensorFlow
Tools: Docker, Git, Gradle, PostgreSQL, Linux/Unix, IntelliJ, VS Code
|
Quant backtesting + ML trading system Kotlin + Spring Boot APIs for OHLCV ingestion & strategy backtests, with Python ML pipeline + FastAPI inference. |
Offline-first desktop music manager Java/JavaFX + SQLite with an n-tier architecture, search/playlists/tags, plus Gradle automation and a solid JUnit test suite. |
Campus events discovery UI Responsive UI with search + filters, accessible modal/drawer behavior, and one-click ICS calendar export. |
- Built typed API services + DTOs for backtesting runs, metrics (return, drawdown, win rate), and equity curves
- Shipped an ML training → artifact → inference loop (joblib + metadata JSON → FastAPI)
- Automated real workflows (parsing + validation + exception handling) to reduce manual processing time
If you're hiring for software / backend / full-stack / ML-adjacent roles, DM me on LinkedIn:
- LinkedIn: https://www.linkedin.com/in/thebhavikjain/
- Email: bhavikj3222@gmail.com
