Khuram Ismaeel

About

ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.

Key Strengths

• owned end-to-end ML systems from experimentation to deployment and monitoring
• production recommendation systems expertise with measurable business impact
• improved CTR by 22% and conversions by 15% while keeping latency under 100ms
• strong cold-start problem solving using content features, embeddings, and session signals
• shipped RAG-based support assistant with 30% reduction in support tickets
• balanced latency, cost, quality, and safety tradeoffs in production GenAI systems
• iterative post-launch optimization through evaluation, prompt refinement, and retrieval improvements
• built shared Python platform services that improved team velocity and reliability
• solid engineering practices with testing, CI, containerization, and Kubernetes deployment

Reference Highlights

• strong end-to-end ownership
• very strong Python fundamentals
• clean code
• well-structured code
• easy-to-maintain code
• reliable service design
• practical problem solving
• balanced performance and cost well
• improved model accuracy
• faster processing times
• improved decision making
• reduced manual work
• made systems more stable
• made systems more scalable
• improved organizational efficiency
• kept LLM outputs accurate and reliable
• focused on quality and safety
• code depended on across multiple departmental workflows
• improved processing efficiency
• praised for reliability
• enabled others to build on his code
• reduced response time
• kept infrastructure costs under control
• maintained production stability

Experience

Education

Skills

Languages