Neil Mehta

I’m a software engineer focused on machine learning and AI. I build robust, clean systems and human-centered interfaces that scale from prototype to production.

I double-majored in Computer Science and Mathematics at the University of Toronto. My hobbies include watching soccer, Formula 1, photography, reading, and snowboarding.

See my workGet in touch
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About

I specialize in mathematics, machine learning, and AI, particularly in Neural Networks. I enjoy turning ambiguous problems into reliable, user-friendly products.

My professional experience includes roles as a Machine Learning Engineer, Backend Engineer, and Mathematics Teaching Assistant. Ive worked on a variety of projects, including AI document processing, database migration automation, and subscription workflows.

I love learning new things, especially exploring the latest industry trends and picking up new skills in my personal life. Staying curious keeps me adaptable and excited about whats ahead!

Experience

Professional

  • Machine Learning Engineer

    First Canadian Title Insurance
    Apr. 2025 - Present
    • Led design of company-wide AI platform applications.
    • Boosted document processing efficiency by 57%.
    • Reduced manual document verification time by 70%.

  • Mathematics Teaching Assistant

    University of Toronto
    Aug. 2024 - Apr. 2025
    • Hosted weekly workshops on various mathematical topics.
    • Led interactive tutorial sessions using custom problem sets.

  • Backend Engineer (Co-Op)

    KOHO
    May 2022 - Apr. 2023
    • Implemented redesigned end-user tier subscription workflow.
    • Refactored monolithic service into Docker-based microservices.

  • Coding Instructor

    Code Ninjas
    Dec. 2020 - Apr. 2022
    • Designed various coding curriculums for students aged 6-17.
    • Led LEGO FIRST Robotics competition team and Python program.

Projects and Articles

Actimons

User-centered product development cycle project.

Product ManagementFigmaProject Management

GouGAN

Image-to-image artistic style transfer using GANs.

Deep LearningPyTorchGenAI

Mastering Routes: Traversing the History of the Travelling Salesman Problem

Exploration of the Travelling Salesman Problem through NP-hardness proof, algorithmic approaches, and modern logistics applications.

TSPGraph TheoryMathematics

Mathematical Undecidability

Historical and mathematical analysis of undecidability and modern computational implications.

MathematicsComputability

Contact

Feel free to hit me up for anything - collaborations, questions, or just to say hello :)