Summary
Muhammad Khalil is a Back End Developer with nine years of experience building and integrating backend services, automations, and AI-driven systems across logistics, telephony, and web platforms. He combines strong Python and Java Spring Boot skills with practical DevOps experience—dockerizing models and APIs, automating VM provisioning with Ansible, and tuning integrations like Apache Superset for embedded dashboards. His AI work spans computer vision and deep learning (NanoDegree in Computer Vision and a Master’s in Data Science underway), including production-ready TTS and CV pipelines deployed with FastAPI, Redis caching, and PyTorch. At iStore iSend he automated daily warehouse operations and built guest-token embedding flows, and at Afiniti he adapted offline neural TTS for IVR use, showing a knack for taking models from research to resilient production services. Based in Karachi, he pairs a research-minded curiosity with pragmatic engineering: he frequently scripts repeatable operations, adds observability, and delivers hot-fixes under production pressure.
9 years of coding experience
4 years of employment as a software developer
IOT (Internet of Things), A, IOT (Internet of Things), A at Axiom Enterprises
Nano Degree, Computer Vision, Nano Degree, Computer Vision at Udacity
Masters, Data Science, Masters, Data Science at NED University of Engineering and Technology
Pakistan International School Al Ahsa, KSA