I’m drawn to systems where incentives and constraints shape outcomes: markets, game theory, applied AI, and automation. I turn complex problems into working systems through research, models, code, and repeatable processes.
Sam Pich
CS & Psychology student building trading systems, applied AI tools, and automation-heavy software.
University of Ottawa
CS · Psychology · Finance
Expected May 2027
CS · Psychology · Finance
Expected May 2027
Focus areas
Trading Systems & Finance
Options theory, market microstructure, competition systems, and equity research.
- Solo-built RITC volatility platform
- Black-Scholes, Greeks, and constrained optimization
- CFA equity research and primary interviews
- Trading-club leadership and competition preparation
Applied AI & Public Systems
AI tooling shaped by cost, governance, evaluation, and sensitive organizational environments.
- Government AI developer work
- Usage and token-cost analytics
- Prompt and governance analysis
- Self-hosted agent infrastructure
Software, Data & Automation
Python and backend systems, Linux infrastructure, APIs, reporting pipelines, and production-minded debugging.
- CIPO reporting: 5+ hours saved per week
- 400+ attendees across 40+ countries
- Rust-compiled Qdrant on ARM64 Linux
- REST APIs, SQLite logs, Pandas, and Quarto
Trading systems & leadership
Built the system. Placed 9th of 38. Now building the team.
RITC was my first trading competition. I built and operated uOttawa’s volatility-case platform end to end, placing 9th of 38 teams while uOttawa finished 15th of 36 universities overall. I now lead the uOttawa Trading Club and am founding its Bloomberg competition team.
9th / 38
Volatility Trading
15th / 36
uOttawa overall
Solo owner
Strategy and platform
President
uOttawa Trading Club
System built
The platform priced 20 options with Black-Scholes, parsed volatility news, ranked executable mispricings, allocated exposure under position limits, placed orders, hedged delta, and logged each tick for post-session review.
Additional projects
Selected work beyond trading.
Applied AI
Responsible Internal AI Tooling
CRA AI Developer work spanning usage analytics, token-cost analysis, prompt analysis, governance thinking, and delivery patterns for sensitive public-sector AI systems.
AI analyticsGovernanceDashboardsR&D
Read case study →Data Automation
CIPO Reporting Automation
Converted Microsoft Forms event data into repeatable Power Automate, Excel, Python, and Quarto reporting, saving 5+ hours per week and supporting conference analytics for 400+ attendees across 40+ countries.
PythonPandasPower AutomateQuarto
Read case study →Infrastructure
AI Home Server, Memory & Messaging Platform
A 4 GB Raspberry Pi 5 running Hermes gateways and a Mem0/Qdrant memory layer. Qdrant 1.18.2 was compiled from Rust source to support the Pi kernel’s 16 KB memory pages.
LinuxRustQdrantMem0
Read case study →Finance Research
Lightspeed Equity Research
CFA Institute Research Challenge captaincy: contrarian SELL thesis, filings analysis, goodwill-impairment risk, valuation narrative, and primary SMB interviews.
DCFFilingsValuationInterviews
Read case study →Resume & contact
Experience, selected work, and contact.
2026
Canada Revenue Agency
Artificial Intelligence Developer Intern (current). Contributing to applied AI R&D, usage/cost analytics, prompt analysis, and responsible internal AI delivery.
2025
Canadian Intellectual Property Office
Junior Analyst. Automated KPI reporting and coordinated international IP-data conference operations.
2022–2027
University of Ottawa
Honours BSc Computer Science, Minor in Psychology; finance/economics focus around derivatives, market structure, and behavioral finance.