Open to opportunities

Justin Fan

@justinfan

Message

AI-focused product builder blending software engineering and data-driven business strategy.

Canada

Message

What I'm looking for

I seek roles building AI-driven products where I can ship measurable impact, work cross-functionally, and scale ML systems in enterprise or manufacturing contexts.

I am an AI-focused product builder combining computer science and commerce training to deliver practical, data-driven solutions. I study Computer Science (AI focus) and Commerce (Management Specialist, Data Science) at the University of Toronto and apply academic foundations to real-world problems.

I have hands-on experience integrating AI into manufacturing and enterprise workflows, having lived on-site to map legacy data, build an SQL-backed ERP integration, and prototype AI alert systems that reduced operational friction. I emphasize measurable impact, for example reducing warehouse ordering and material checking time by 60%.

My product and research work includes building LLM scoring algorithms, designing GTM strategies for student-to-B2B transitions, and engineering data-cleaning and matching solutions that improved accuracy from 55% to 93% through caching and validation. I lead teams using agile practices and Clean Architecture principles to deliver scalable software.

I win hackathons by combining engineering rigor with user-focused design — from Copilot integrations on Azure to real-time scam-call detection using OpenAI. I prioritize shipping high-impact features, cross-functional collaboration, and continuous improvement.

Experience

Work history, roles, and key accomplishments

Current

President

Current

University of Toronto Projects

Nov 2024 - Present (11 months)

Oversaw cross-discipline AI project community, growing reach to 40K+ accounts and 200K+ post views, secured partnerships involving 900+ students and hosted a 155-participant cross-discipline hackathon with industry partners.

Leadership Partnership Development Event Management Stakeholder Engagement

AI Integration Engineer

Wuhan Ammolite New Material Co. Ltd

May 2025 - Aug 2025 (3 months)

Lived on-site to map legacy data and transition historical transaction records into a structured SQL database; implemented a lightweight Kingdee ERP system that reduced warehouse ordering and material checking time by 60% and prototyped an AI alert system for unpaid orders and delivery anomalies.

SQL Data Mapping Kingdee ERP Python Pandas scikit learn Process Improvement On Site Stakeholder Collaboration

AI Product Researcher

SynvioAI

Dec 2024 - Aug 2025 (8 months)

Designed GTM and pricing strategies, developed a 3-phase product roadmap that reduced feature release delays by 30%, and built an LLM scoring algorithm using Chain-of-Thought, improving feedback accuracy by 40% and user engagement by 25%.

Product Strategy GTM Pricing Strategy Roadmapping LLMs Chain Of Thought User Engagement LLM

Research Assistant

University of Toronto

Jun 2024 - Dec 2024 (6 months)

Scraped and cleaned 300K+ records and developed matching algorithms (baseline 55%); engineered a caching self-checking system that reduced prompt calls 20x and raised accuracy to 93%, and built an LLM-based emotion analysis tool packaged for .exe/.dmg with 3x faster runtime.

Data Cleaning Web Scraping Fuzzy Matching Caching LLMs Python Prompt Engineering LLM

Hackathon Project Lead

Microsoft X BDO

Nov 2024 - Nov 2024 (0 months)

Designed and integrated a Copilot Agent into a customer-facing site during a 48-hour competition, reducing operational expenses by 20.3% and incorporating Azure Speech-to-Text for improved accessibility.

Azure CoPilot Studio Accessibility Prototyping Cost Optimization Rapid Development

Hackathon Project Lead

NewHacks

Oct 2024 - Oct 2024 (0 months)

Developed a real-time scam call detection system using OpenAI and Whisper APIs, achieving validated 100% detection across 200+ datasets and reduced per-call processing cost to under $0.01.

OpenAI API Whisper React Cost Optimization Model Evaluation

Team Lead

TeamMatch AI

Jun 2024 - Aug 2024 (2 months)

Led a 6-person team to build an OpenAI-powered matching app using SOLID and Clean Architecture, scoped agile sprints, and implemented a SQL backend and Factory Design Pattern to improve scalability and project management.

Java Swing Leadership Java OpenAI API SQL Clean Design Agile)Design Patterns Agile

Education

Degrees, certifications, and relevant coursework

University of Toronto

Bachelor of Computer Science; Bachelor of Commerce, Computer Science; Commerce (Management/Data Science)

Grade: 3.60/4.0

Activities and societies: Relevant coursework: Software Design, Machine Learning, Neural Network and Deep Learning, Databases, Computer Organization, IT & AI for Business, Supply Chain; leadership in University of Toronto Projects (President)

Pursuing concurrent Bachelor of Commerce (Management Specialist with Data Science focus and Economics minor) and Bachelor of Computer Science (Computer Science major with AI focus), expected graduation in May 2027.