JB/26

Jayden BrarToronto, Canada43.6532° N / 79.3832° W

FocusApplied AI, Product Data Science, Experimentation, ML Engineering, Quantitative Research

The work

Every project here answers one question: how do you make an AI-driven decision you can check?

  • Applied AI
  • Product data science
  • Experimentation
  • ML engineering
  • Quantitative research
  • Open-source engineering
  • Emerging research

01Work

Three systems, built to be inspected.

01 / 03Language embedding / ML framework experimentComplete

Sentiment extraction, rebuilt for the CPU.

Not everything needs a GPU.

Benchmarked a full embedding × ML framework matrix: 16 language-embedding types across multiple classifier families, including random forest and logistic regression, while re-optimizing spell-checking libraries, multithreading, RAM-aware chunking, and sparse matrices for blazing-fast, lightweight, and lossless social-media analysis.

Undergraduate Program Findings AwardeeDirectly recognized by the Program Director.
16 × MLembedding / framework matrix
O(n)text processing
  • BERT
  • Random forest
  • Logistic regression
  • scikit-learn
  • Polars
  • PySpark
  • PyTorch
cpu://sentiment— · 0 GPUs
Neutral+0.000

Live lexicon demo, scored in your browser — a stand-in for the benchmark, not the model.

02 / 03MoonshotAI / kimi-cliPR #2114
As seen onCodexClaude Code

Granular permission-policy architecture

Designed and implemented command, MCP-tool, and directory policy with glob matching, protected workspace boundaries, persistent approval state, and regression coverage.

Commits
9
Docs
EN / 中文
Stack
Python · TOML · pytest · MCP
Inspect the open pull request

Illustrative policy trace · implementation in open pull request #2114

03 / 03Google Gemini CLIFormal P1 triage

From unresolved issues to assigned ownership.

Synthesized related unresolved CLI issues into a coherent problem statement, designed the remediation architecture, advanced the work through maintainer review to formal P1 triage, and was assigned ownership of the fix.

Related reports remain scattered

Move through the field to attract the reports, constraints, and maintainer context into one problem.

02Path

From legal tech to land-use AI.

  1. CompletedSept. 2021–Dec. 2025

    B.Comm. Honours, Business Technology Management

    Toronto Metropolitan University

    Data Science & Visualization specialization, substantial computer-science coursework, Dean’s List standing, and top-3% academic performance.

    $7,000BMO Capital Markets Scholarship

  2. PreviousSept. 2021–May 2023

    Queen’s University Conflict & Analytics Lab

    Queen’s University × Oxford researchers

    Co-developed a lifesaving legal-tech platform connecting thousands of North American users with local aid, delivered early machine-learning features, and coordinated multidisciplinary delivery across engineers and lawyers.

  3. Incoming · proposed researchSept. 2026–Apr. 2028

    Thesis-based M.Sc.

    Applied Machine Learning for Land-Use Optimization & Property-Price Modelling

    Planned MicroModel research system connecting modelled property-market states, admissible land-use actions, learned policies, and inspectable decision traces.

    $30,000Graduate Fellowship and Research Awards

  4. CurrentJun. 2026–Aug. 2028

    Laboratory of Innovations in Transportation (LiTrans)

    Toronto Metropolitan University

    Connecting transportation systems, machine learning, statistical modelling, land-use optimization, and property-price modelling.

    Official affiliation

03The model

Five signals. One forecast, closing in.

An interactive demo of the proposed research. Toggle the signals a model can see. The city gains context—districts, zoning, lot size, transit—while the estimate closes in on a fixed benchmark.

Model inputsFive signals1 / 5 connected
Illustrative readout
Forecast accuracy
60.00%
Model forecast
$480,000
Benchmark value
$800,000
Gap
$320,000
Forecast $480,000 at 60.00% accuracy.

04Working paper

Now writing: applied machine learning for land-use decisions.

Working paper · in progressNot published · not peer reviewed

Applied Machine Learning in Property Markets with MicroModel.

A planned manuscript about property markets, applied machine-learning policies, land-use decisions, and interpretable decision traces.

Planned manuscript field

The research framing connects learned policies with an inspectable modelling layer: not only what action a model selects, but how the modelled environment changes and how that trajectory can be examined.

05The room

Invited to the front of the room.

  1. TD Bank × Lime Connect Panel

    Panelist

    UpcomingSept. 2026

  2. TD Intern Innovation Challenge

    First Place · Presented to the Digital Innovation Executive Leadership Team

    1st Place85+ contestants

  3. Wealthsimple Foundation

    Panel Moderator

    PastPennyDrops TMU

06Wins

Won. Awarded. Built. Led.

Won

1st out of 85+ Contestants

Tri-Annual Intern Innovation Challenge, where participants take an idea from prompt to presentation before Digital Product Team leadership. Jayden was the first participant ever to receive a special invitation to go beyond the challenge format and present to the Digital Innovation Executive Leadership Team.

Awarded

Nearly $100k in Scholarships

Awards from Companies, Universities, and Research Institutes

Built

Business Analysts Student Association

Founder & President · Toronto Metropolitan University · Oct. 2023–Apr. 2024

Led

Wealthsimple Foundation @ Pennydrops TMU

VP of Corporate Relations · Sept. 2024–Jul. 2025

07Evidence

Check the work yourself.

  1. 01Open pull requestKimi CLI · Pull request #2114MoonshotAI kimi-cli pull request #2114 contains 9 commits, automated regression coverage, and English/Chinese documentation for command, MCP-tool, and directory permission policy.Inspect pull request #2114
  2. 02Current affiliationLiTrans · Toronto Metropolitan UniversityLiTrans at Toronto Metropolitan University connects transportation systems, machine learning, statistical modelling, land-use optimization, and property-price modelling.Visit the official LiTrans page
  3. 03Working paper · in progressMicroModel working paperApplied Machine Learning in Property Markets with MicroModel is a research-framing version 0.1—not a published or peer-reviewed paper.View the working paper