Summary
Farhan Khan is a Lead ML Engineer with 8+ years building cloud-native ML platforms and production AI systems across computer vision, NLP, and document understanding. He specializes in end-to-end ML lifecycle infrastructure—training, secure deployment, monitoring, and large-scale CPU/GPU inference—enabling product teams to ship features independently and reliably. His work blends hands-on model development (OCR, RAG, agent-driven systems) with platform design that improves observability, cost efficiency, and time-to-production. He has driven enterprise-grade PaaS and MLOps solutions at KPMG and Money Forward, translating complex compliance and scale requirements into pragmatic, extensible tooling. Based in Toronto with an IIT Delhi master's background, he values simple system design, clear ownership, and measurable production impact.
8 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Bachelor's degree, Electronics and Communications Engineering, Bachelor's degree, Electronics and Communications Engineering at Shri G S Institute of Technology & Science
Kalidas Montessori School
English, Hindi, Japanese