ML Engineer building production-grade AI systems — from LLMs and RAG pipelines to real-time speech applications used by thousands worldwide. Gold Medal graduate from NUST.
I'm a Machine Learning Engineer with ~3 years of experience designing and shipping AI applications at production scale. I specialize in turning complex AI capabilities into reliable, user-facing products that people actually depend on.
From multi-agent research systems to real-time clinical documentation tools, my work lives at the intersection of rigorous engineering and meaningful user impact.
Currently at DiveDeepAI — building the next generation of intelligent tools. Awarded Team Player of the Year for consistent delivery across multiple concurrent projects.
AI-powered auto-grading Add-in for K-12 Microsoft Office and Google Workspace courses. Built a robust XML parser and multi-strategy document comparison engine for accurate student work analysis. Inline red-line feedback and step-by-step instructional video delivery. Targeting 1M+ students.
compugrade.com ↗Real-time clinical documentation. Live doctor-patient conversations transcribed via DeepGram, processed through an LLM chaining pipeline that reasons symptoms, retrieves differentials from ElasticSearch, and generates SOAP notes. Integrated with EHR and Stripe billing. Used by clinicians worldwide.
aimedbox.com ↗A 15+ agent sequential system that generates 60+ page grounded research reports by autonomously traversing the web and synthesizing findings. Built on self-hosted n8n with a full Agents visual platform for workflow creation and publishing.
avatare.com ↗100+ domain-specific AI chatbots grounded in structured business frameworks (The 100 Tasks). FastAPI backend on AWS EC2, adopted as part of a New Venture Creation course at Utah State University.
sequentialstartup.com ↗