moja droga

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Bartek Kowalski

I build technology, write evidence-backed opinions, and cultivate culture through meetups, projects, and everyday practice. Currently @ Queens.

Film

perfectly imperfect

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24 photos
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Essays & Opinions

3 pieces
Oct 2025
5 min
opinion

When Data Moves, Power Shifts: Canada's Open Banking Moment

Exploring how Canada's open banking framework is reshaping financial services and shifting power dynamics in the industry.

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Jun 2024
8 min
essay

The Rise and Potential of Open Source Large Language Models in AI

Exploring how open-source LLMs are democratizing AI development and reshaping the technological landscape.

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Mar 2023
6 min
opinion

ChatGPT: Is the Education Industry Ready?

Examining the implications of ChatGPT and generative AI on education systems and learning methodologies.

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3 pieces

Projects

3 projects
01
LIVE
2024

Efficient Fine-Tuning of LLMs using Coreset Selection

Utilized coreset selection methods (KCenterGreedy, Active Learning) to reduce LLM fine-tuning time by 80% while retaining performance. Placed 2nd at ProjectX, the world's largest international undergraduate ML contest.

PythonPyTorchMachine LearningCoreset SelectionNLP
EXPLORE→
02
LIVE
2024

QuSearch - Alumni Search Tool

Alumni search platform for Queen's University students to connect with graduates. Built with Next.js frontend, Flask backend, Supabase database, deployed on Vercel and Railway.

Next.jsFlaskSupabaseVercelRailwayFull-Stack
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03
ARCHIVED
2023

Memoria

LLM-powered voice note app to record, transcribe, and chat with your thoughts. Built with React, Node.js, Express.js, and Supabase. Reached 800+ active users and 10,000 page views.

ReactNode.jsExpress.jsSupabaseLLMVoice AI
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3 projects

Experience

5 positions
May 2025 - Aug 2025
Toronto, ON

Technical Product Manager Intern - Future Leaders Program

Questrade

Led product initiatives across knowledge management, personal finance tools, and investment research for Canada's leading online brokerage.

  • Owned roadmap & launch of a new knowledge base; wrote PRDs, PRFAQs, led BigQuery/NLP on call transcripts to close content gaps, leading to 40% fewer Tier-1 CS tickets, $500,000 saved per year; docs used by 100,000+ per year.
  • Supported a new Personal Financial Manager app, running 8 discovery interviews; instrumented Amplitude funnels, and iterated onboarding to drive +20% completion in alpha.
  • Surveyed 27 respondents (ages 18-25) on investment-news habits; synthesized findings into 2 opportunity areas and presented recommendations to the C-suite.
Product ManagementBigQueryNLPPRDAmplitudeUser Research
Apr 2023 - Sep 2023
Toronto, ON

Product & Full-Stack Developer Intern

CallSmart

Led product roadmap and development of an AI communications platform for dental clinics, driving significant business impact and operational efficiency.

  • Led product roadmap and full-stack development (Next.js, Supabase) of an AI communications platform adopted by 200+ dental clinics, contributing to $12M per year in potential revenue, and cutting manual follow-ups by 85%.
  • Interviewed 4 clinic owners and 11 receptionists, distilled JTBD into PRDs and UI/UX recommendations.
  • Created funnels and iterated onboarding, prioritized triage/templates/analytics to increase agent efficiency.
Next.jsSupabaseProduct ManagementFull-StackAIUser Research
Feb 2024 - Aug 2024
Toronto, ON

Software Engineering Intern

Exavalu

Developed vehicle fleet management features and optimized backend systems for improved cost efficiency and security.

  • Shipped vehicle fleet management features (Java, Spring Boot, MySQL) for internal ops users.
  • Optimized third-party API usage; -$1,500/mo cost and improved latency/throughput; implemented Spring Security.
JavaSpring BootMySQLSpring SecurityAPI Optimization
Jan 2023 - Jul 2023
Kingston, ON

Software Engineering Intern

Distributive

Enhanced user engagement through interactive frontend features and implemented secure backend authentication systems.

  • Boosted user engagement by 25% through responsive and interactive features, including parallax scrolling.
  • Implemented features using React and TypeScript for optimized code performance and maintainability.
  • Deployed a Node.js backend to handle user authentication and security.
ReactTypeScriptNode.jsFrontend Development
Jan 2022 - May 2022
Toronto, ON

Research Intern

University of Toronto

Collaborated with graduate research lab on mathematics project applying machine learning to pattern recognition problems.

  • Collaborated with a graduate research lab on a mathematics project; scoped experiments/approach with faculty.
  • Constructed a Gaussian Naive Bayes program in Python to classify corrupted number data with 97% accuracy.
  • Communicated and presented my work to a panel of 20+ graduate students and faculty members.
PythonMachine LearningResearchData Science
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