Ansh Rastogi.
Builder of
Systems & Data.
UBC Computer Science student (Minor in Data Science) who ships full-stack systems, ML pipelines, and data-driven applications. I turn complex problems into clean, production-ready solutions.
Data-Driven Engineering & Real Ownership.
I'm a CS student at UBC (graduating 2026) with a Minor in Data Science who bridges the gap between software engineering and ML. From building production ML pipelines at a fintech startup to architecting desktop apps used in academic research, I care about shipping software that solves real problems — not just passing assignments.
ML-Informed Engineering
I don't just write code — I think in data. Every system I build is designed with observability, metrics, and intelligent automation in mind, from SQL reporting pipelines to XGBoost prediction models.
Ship With Ownership
Three internships across fintech, data analytics, and software development taught me that great engineers own outcomes, not just tasks. I deliver complete solutions — from architecture to deployment.
Featured Builds.
From production ML pipelines to hackathon wins — projects built with real constraints, real tech stacks, and real outcomes.
F1 Intelligence Hub
Production-grade Formula 1 analytics platform with real-time ML predictions and race strategy insights.
- 4 ML models (XGBoost / LightGBM) — R² 0.757 for lap-time forecasting, ROC-AUC 0.741 for overtake prediction
- 1,400+ features engineered from historical race, weather, and telemetry data
- WebSocket streaming for real-time lap updates to concurrent users
- pgvector similarity search for historical race pattern analysis
Mining Digital Work Artifacts
AI-powered desktop app that mines developers' local work artifacts to generate portfolios and surface skill growth.
- Team of 6 — led backend API design and Git parsing pipeline
- Parses Git commits, Python/Java/C++ codebases, PDFs, and DOCX for metadata extraction
- Google Gemini Pro integration for semantic code review (architecture, complexity, security, skill maturity)
- Electron + React dashboard with skills timelines, activity heatmaps, and top-project showcases
More Projects
Full Stack ToDo App
Production-grade task management app with real-time sync, auth, and CI/CD deployment.
Scholar Space Finder
Real-time campus study space locator built at a UBC hackathon.
Nomad X
AI-driven travel and activity planning mobile app with personalized recommendations.
Game of Amazons
Java implementation of the Game of Amazons with a Monte Carlo Tree Search AI opponent.
The Toolbox.
Languages, frameworks, and tools I reach for when building production-grade software and data systems.
Languages
Frontend
Backend & Data
Infra & Tools
ML & Analytics
Work History.
Three internships across fintech and data analytics — delivering real outcomes in production environments.
Data Analyst Intern
- Upgraded and optimized multiple AWS Lambda functions by migrating codebases to Python 3.13, updating dependencies, and refactoring shared Layer integrations — improving execution performance and eliminating runtime errors
- Designed and implemented SQL scripts to automate database updates, replacing manual compliance reporting with a clean 'Yes/No' flag system for customer CIBIL report tracking
- Enhanced data integrity by validating logic across customer transactions and optimizing query performance, reducing manual intervention in financial reporting workflows
Software Development Intern
- Built sentiment analysis tooling for the Phillip9 Application using TextBlob and VADER, processing financial news to generate actionable trading insights
- Integrated dual news ingestion pipelines — NewsAPI and RSS feeds — to maximize coverage and improve the accuracy and relevance of sentiment scores
- Designed a Flask web application with a front-end interface for real-time sentiment computation, enabling traders to query customized reports interactively
- Automated environment setup and data handling scripts to ensure scalable, reproducible sentiment analysis operations
Data Analyst Intern
- Collected and analyzed participation data from schools worldwide to identify trends and areas for improvement in educational workshops
- Built automated Excel reports and dashboards using pivot tables, VLOOKUP, and advanced formulas to track participation metrics and support data-driven decision-making
- Used data insights to optimize teacher training program content delivery, and conducted outreach to expand the company's school partner network
Academic Background.
University of British Columbia
Want the full picture?
Download my resume for a comprehensive view of my experience, skills, and projects — formatted for recruiters.
Let's build together.
Available for internships, new grad roles, and open source collaboration. Whether you have an opportunity or just want to talk tech — I'm always open.