Joseph Liao
416-999-7601 | joseph.liao1018@gmail.com | linkedin.com/in/joseph-liao | github.com/JosephLiao542211

Education
Queen’s University

Kingston, Ontario

Bachelor of Computer Science, Honors

Sep 2022 – May 2026

Technical Skills
Languages: TypeScript, JavaScript, Python, Go, Dart, Python, Java, SQL
Frameworks: React, Angular, React Native, Next.js, Apache Spark, PostgreSQL, , TensorFlow, LangChain
Tools: Gumloop, Google ADK, Databricks, n8n, Figma, Adobe Creative Suite

Work Experience
Software Engineer, AI Operations Lead

Winnipeg, Manitoba

Taiv (YC-backed, Series A)
Jan 2025 – Jan 2026
• Shipped over 100,000+ lines of production code across various systems in 8 months
• Developed 12+ internal tools and agents with Next.js, Supabase, and various APIs to support sales and
operations teams
• Built 5+ Slack automations that reduced task completion time, saving 10+ hours daily across multiple teams.
• Designed multiple agentic AI systems for customer acquisition and support, interacting with 2000+ restaurants
and contributing to 420%+ YOY company growth
• Built a unified AI tools dashboard with consistent internal usage of 800+ monthly sessions

Software Developer (Contract)

Ottawa, Ontario

Larus Technologies
Sept 2025 – Present
• Top contributor to the ScenarioGPT frontend, responsible for 80%+ of the codebase
• Consulted directly with the Canadian Armed Forces, RMC, and CAE Aviation to architect SGPT use cases
• Designed and implement 10+ high fidelity mock ups in Figma to optimize UX

Software Developer Intern

Toronto, Ontario

TD Bank Group
Jan 2026 – May 2026
• Implemented 3 real-time fraud detection pipelines processing over 2 million Kafka events per day.
• Collaborated with cross-functional teams to onboard 3+ new data sources.
• Maintained GTB, MRA41, DVS Pipelines using Apache Spark and Azure Databricks

Co-founder, Lead Developer

Kingston, Ontario

Local Reach (Acquired by Taiv)
Jan 2024 – Jan 2025
• Co-founded a AI startup focused on TV content optimization, resulting in a 5-figure acquisition
• Raised over $50,000 in seed funding and achieved $2,000+ MRR within 5 months
• Developed proprietary commercial detection algorithm with 96%+ accuracy using OpenCV and Tensorflow
• Prototyped a custom device, featuring custom circuitry, casing, and Raspberry Pi firmware, deployed on 10+ TVs

Projects & Achievements
Hackathons & Competitions
• Competed in 14+ hackathons, placing 1st at HackMIT ("Most Marvel-ous Hack"), Best UI/UX at
HackTheHill, and 3rd at HawkHacks (NEAR blockchain), plus 7+ additional top 10 finishes
• 1st Place at Mayor’s Innovation Challenge 2024 for ’BaoBab’ resulting in $5,000 of seed funding
• 2023 GMTK Game Jam: ranked Top 5% (299/6,700+ entries)
Your Plate | LangChain, fastAPI, React Native
• Developed a personal LangChain agent to tag and categorize restaurants from Instagram reels
• Used Leaflet.js to map the restaurants and RAG agent to provide recommendations given a prompt
• Saved and categorized over 50+ reels and restaurants

Leadership & Involvement
InQUbate (Queen’s Startup Incubator), Tech Consultant
QMIND (Queen’s AI Club), Director of Marketing
Queen’s University Wrestling Team, Varsity Athlete

Mar 2024 – Present
Mar 2024 – Present
Sep 2022 – Present