ANAS AHMAD

AI Engineer at Katy Independent School District (KISD)

Partnered directly with the Chief Information Officer to deploy Texas’s first district-wide AI agent platform across 80+ campuses serving 90,000+ users. Designed multi-agent workflows to automate call routing and academic guidance, integrating FastAPI, PostgreSQL, and LLMs, reducing administrative call volume by 80%. Engineered building kiosk system using TypeScript and Node.js, enabling real-time visitor check-ins with model-driven intent classification reducing front-desk processing time by 35%. Architected AI drone surveillance system deployed on DJI Dock APIs enabling automated monitoring across multiple campuses. Built backend services in Python using Redis to support classification and routing infrastructure handling 10,000+ daily requests.

Software Engineer at TWC The Valve Company

Developed ERP pricing automation system that reduced quote time from 2 hours to under 5 minutes across 10,000+ SKUs. Increased valve code accuracy by 25% through rule-based and model-assisted parsing logic. Deployed LLM-driven automation workflows across internal teams, improving overall team productivity by 40%. Drove cross-departmental adoption of AI tools leading hands-on training sessions, enabling teams to operate model-driven workflows.

AI/ML Engineer Intern at Houston Innovation Lab

Built and evaluated machine learning models for text classification using Python and transformer-based architectures. Developed REST APIs with FastAPI and containerized services using Docker to support internal testing. Optimized inference workflows, reducing response latency by 30%. Collaborated with cross-functional teams to integrate model outputs into production-ready applications.

Founder & Lead Engineer at MedGrid

Built AI-powered medical education gaming platform using TypeScript, Supabase, and LLM-based knowledge workflows. Scaled to 1,200+ students across 15+ medical schools, driving recurring platform engagement. Designed embedding-based RAG to power adaptive learning and personalized study workflows.

Founder & Lead Engineer at PerseusHealthAi

Built production LLM-driven voice automation system for clinical workflows using n8n. Reduced administrative workload by 30–40% through intelligent scheduling and intake automation. Architected configurable SaaS backend supporting healthcare practice deployments.