Muhammad Ali
@muhammadali417
Software Engineer building scalable backend and full-stack AI systems.
What I'm looking for
I’m a Software Engineer focused on building scalable backend systems and full-stack platforms on GCP and AWS, specializing in FastAPI and NestJS microservices, real-time data pipelines, and AI-powered applications.
I’ve led production projects end-to-end, including a multi-agent LangGraph football analytics chatbot, a blockchain-enabled hotspot platform, and a sign-language video conferencing system—delivering measurable impact through AI-driven features and reliable deployments.
At BeajEducation, I designed and developed a WhatsApp-based AI chatbot using Meta’s WhatsAppCloudAPI, Azure AI, ElevenLabs, OpenAI LLMs, and Whisper for 33,000+ users, then migrated the platform from ASP.NET + HTML/Bootstrap to a Node.js backend with a React admin dashboard—improving performance, UX, course upload speed by 50%, and data retrieval efficiency by 80%.
In parallel, I architected real-time microservices on Google Cloud for FAIR-FootballAIResearch (FastAPI, Node.js, MongoDB, Redis) and engineered 10+ automated GCP data pipelines into MongoDB with monitoring and fail-safe alerting, while also building a low-latency WebRTC/Socket.IO communication stack for AI video conferencing with Flask and MySQL.
Experience
Work history, roles, and key accomplishments
Software Engineer
Beaj Education
Jun 2024 - Present (2 years)
Designed a WhatsApp-based AI chatbot for self-development courses using Meta’s WhatsApp Cloud API, enabling multimodal learning (audio, video, images, text) for 33,000+ users. Migrated the platform from ASP.NET/HTML to a Node.js backend and React admin dashboard, increasing course upload speed by 50% and data retrieval efficiency by 80% while scaling Azure infrastructure with PostgreSQL, App Servi
Software Engineer
FAIR-Football AI Research
Aug 2023 - Oct 2025 (2 years 2 months)
Architected and built scalable real-time football data microservices on GCP using FastAPI, Node.js, MongoDB, and Redis to handle high-volume user interactions. Developed a multi-agent LangGraph chatbot with intelligent routing, web search, SQL agents, RAG, handoffs, and memory to deliver real-time statistics, predictions, and analytics, powering data-driven fan engagement dashboards.
Software Engineer
SLAITAI
Jul 2024 - Feb 2025 (7 months)
Developed an AI-powered video conferencing platform with real-time American Sign Language recognition and translation using Flask, JavaScript, and MySQL, including live chat and sign-to-text messaging. Built a low-latency communication stack with WebRTC, Socket.IO, and Nginx, and integrated Stripe for secure subscriptions and Brevo for automated email workflows (verification, recovery, marketing,
Software Engineer
ezWiFi
Mar 2023 - Sep 2023 (6 months)
Built a Vue.js and TailwindCSS analytics dashboard for major ISPs (including PTCL and Liga Portugal) delivering real-time insights on hotspot locations, user demographics, and advertising performance. Engineered scalable NestJS microservices on AWS for a global network of 1,400+ hotspots, supporting both B2B portals and a B2C platform with 40,000+ monthly active users, and led a migration from Nod
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences (FAST)
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science at the National University of Computer and Emerging Sciences (FAST).
Availability
Location
Authorized to work in
Website
muhammad-ali.meJob categories
Skills
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