Looking for a job

Amrit Prasad

@amritprasad

Message

I build AI-native products, ML infrastructure, and reliable systems from concept to deployment.

Canada

Message

What I'm looking for

I'm looking to lead AI-native products and technical systems from strategy through hands-on execution, especially where ML, infrastructure, product delivery, and cross-functional teams can create measurable business value.

I've led infrastructure and product delivery for quantitative trading, generative materials, and consumer AI platforms. At Marathon Capital Advisory, I own an end-to-end trading system that converts machine-learning signals into live market orders, including real-time telemetry and a mobile-ready execution dashboard.

At Quantum Generative Materials, I helped scale a deep-tech startup through its $50M acquisition, managed a $1M annual budget, and led ML DevOps, HPC pipelines, model governance, and a Text-to-Material generative AI product. I also build Heirloom end to end, from product vision and architecture to RBAC-enabled multi-party sharing.

Experience

Work history, roles, and key accomplishments

Current

Lead Infrastructure Engineer

Current

Marathon Capital Advisory

Mar 2026 - Present (6 months)

Owned the full product lifecycle for a quantitative trading system, processing machine-learning signals into live market orders. Engineered a decoupled Python state-machine and database to manage complex bracket orders and handle API timeout risks.

Education

Degrees, certifications, and relevant coursework

University of Toronto

Bachelor of Applied Science, Industrial Engineering

2014 - 2019

Activities and societies: University of Toronto Entrance Scholarship, BCIC Young Innovator Scholarship, Troost Institute for Leadership Education in Engineering Summer Fellow, President of Institute of Industrial & Systems Engineers UofT Chapter, Co-President of Sustainable Engineers Association

Honours Bachelor of Applied Science in Industrial Engineering with a minor in Advanced Manufacturing. Specialized in Information Engineering and Operations Research.