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Bartek Kowalski

Technical Product Manager and product engineer building at the intersection of product, engineering, and user research. Currently at Queen's University.

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

4 projects
01
LIVE
2024

Efficacy of K-Center Greedy Coresets

Used coreset selection (K-Center Greedy, Active Learning) to cut LLM fine-tuning time by 80%; placed 2nd at the largest undergraduate ML competition.

PythonMachine LearningCoresetsActive Learning
EXPLORE→
02
LIVE
2024

QuSearch

Built an alumni search tool for Queen's University students with 500+ users, enabling natural language networking.

Next.jsSupabaseTypeScript
EXPLORE→
03
LIVE
2024

Course Central

Built a Next.js app for course, GPA, enrollment, and review tracking; reached 4,300 users and 40,000 page views.

ReactNext.jsTypeScriptPythonSeleniumMongoDB
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04
LIVE
2023

Memoria

Record, transcribe, and chat with thoughts (LLM-powered); reached 800+ active users and 10,000 page views.

ReactNode.jsExpress.jsSupabaseLLMVoice AI
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4 projects

Experience

5 positions
May 2025 - Aug 2025
Toronto, ON

Associate, QuestX (New Products & Innovation)

Questrade

Led cross-functional product and innovation initiatives spanning knowledge systems, new product discovery, and enterprise AI adoption.

  • Drove roadmap and launch for a new knowledge base across Product, Engineering, and Support; authored PRDs/PRFAQs, led BigQuery + NLP transcript analysis, and managed rollout/training, resulting in 40% fewer Tier-1 tickets and $500K/year savings.
  • Coordinated discovery and alpha delivery for a new Questbank product: ran 23 user interviews, instrumented Amplitude funnels, managed iteration planning with Engineering and Design, and led key design decisions.
  • Interim Chief of Staff (CCO & CTO): led cross-functional execution for AI adoption (scope, timeline, risks, stakeholders); shipped internal tool rollout (Cursor + GitBook) to 1,200+ users with training, documentation, and change management.
Product ManagementBigQueryNLPPRDsAmplitudeAI Adoption
Apr 2023 - Sep 2023
Toronto, ON

Founding Product Engineer

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 revenue retention, 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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