Open to opportunities · Mississauga, ON, Canada

Sudip
Shrestha

Data Analyst & AI Engineer. I've built detector software at Paul Scherrer Institute in Switzerland, contributed to NASA's Eclipse Mega Movie citizen science project, and ship AI-powered systems from reinforcement learning to production pipelines.

Python SQL C# Artificial Intelligence Machine Learning Power BI GCP Azure PyTorch Streamlit Spark Hugging Face

Building intelligent
data systems

I'm a Data Analyst and AI Engineer based in Mississauga, ON. My experience ranges from building X-ray detector software at Paul Scherrer Institute in Switzerland, to contributing to NASA's Eclipse Mega Movie citizen science project, to leading teams on applied ML and data engineering projects at University.

I work at the intersection of machine learning, cloud infrastructure, and real-world data - building things that actually matter.

97%
Validation accuracy on plant disease CNN model
1.6M+
Healthcare reviews processed in NLP pipeline
500K+
F1 records across 26 seasons of race, qualifying & lap data (2000–2025)
40%
Throughput boost at PSI by optimizing legacy systems

Where I've worked

AI Data Annotation
Outlier (Scale AI) · Freelance · Remote
Nov 2025 – Present
Data and Reporting Analyst Co-Op
Hal Group Inc · Vaughan, ON, Canada
Sep – Dec 2025
Software Engineer Intern
Paul Scherrer Institute (PSI) · Villigen, Aarau, Switzerland
Jul – Sep 2022
IT Intern
Kinniho Pvt Ltd (kinniho.com.np) · Kathmandu, Nepal
Oct 2021 – Jan 2022

Things I've built

🚧 In Progress
📈

MarketMind

Early-stage startup. Multi-agent RL system (PPO, SAC) for portfolio allocation with Flask API, Streamlit dashboard, and Alpaca paper trading integration.

PyTorchAzureSupabase
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🌍

Global Stats Monitor

Interactive 3D globe visualising population, CO₂, HDI, deforestation, and energy data from Our World in Data. Click any country for details; animated timeline shows historical change with live colour transitions.

ReactThree.jsOur World in Data
View project →
🏎️

F1. Analytics

Browser-based dashboard making 26 years of Formula 1 data explorable in one place - race results, qualifying, standings, and six interactive analytics charts. Live data for the current season, no account needed.

JavaScriptChart.jsSupabase
View project →

Have a project in mind?

I'm open to new roles and collaborations in data analytics, ML engineering, and AI. Let's talk.

Say Hello →
explore life beyond the code