AI Systems Engineer
AhmedUsman
AI/ML EngineerAI Product Development, LLM Apps & RAG
Building AI products that combine LLMs, LangGraph, FastAPI, retrieval, automation, and strong user-facing product execution.
Main Stack
LangGraph
Claude
FastAPI
OpenAI
Pinecone
Whisper
Twilio
AWSAbout Me
Shipping AIthat people can use
Ahmed Usman
AI/ML Engineer
Profile
AI/ML Engineer focused on AI product development across production-grade LLM applications, RAG systems, agentic workflows, voice automation, and applied computer vision. I work across backend architecture, model orchestration, integrations, and product-facing frontend delivery to ship AI software that is reliable, scalable, and actually useful to end users.
AI Product Engineering
From model workflows to frontend delivery, I build AI products that solve real user problems instead of stopping at prototypes.
Workflow Automation
I connect models with business systems, APIs, schedulers, and human review loops so automation becomes reliable and operationally useful.
RAG & Agent Systems
I design retrieval, routing, caching, and orchestration layers that make AI apps more grounded, observable, and scalable.
MY JOURNEY
Professional Experience
Associate AI Engineer
Tech Emulsion- Design and deploy LLM-powered conversational agents, RAG pipelines, and automation workflows for production AI products.
- Build backend services and integrations using Python, Django, FastAPI, n8n, AWS, and third-party APIs.
- Collaborate with product, engineering, and operations teams to deliver scalable AI systems from concept to deployment.
AI/ML Engineer
DevK System- Built LLM applications including RAG systems, autonomous agents, and agentic workflow prototypes.
- Designed and deployed machine learning systems with attention to latency, scalability, and maintainability.
- Applied MLOps practices including Dockerized deployment, CI/CD workflows, and model monitoring.
Back-End Developer
Brandora- Developed REST APIs using Node.js, Express.js, and MongoDB for production web backends.
- Integrated backend services with React frontends to support reliable application data flow.
- Implemented authentication, reusable modules, and query optimization across application features.
Core Stack
Tools behind thesystems I ship
LangGraph
LangChain
OpenAI
Anthropic
Pinecone
ChromaDB
Whisper
pgvector
Selected Projects
Production workacross AI and automation
AVL Copilot
CompletedA production multimodal RAG and technical-support copilot for the audio, video, and lighting industry, built to help field technicians troubleshoot equipment, retrieve manuals, and diagnose issues from text and images.
The Meatery AI Platform
CompletedAn internal operations and AI voice-agent platform for a US premium-meat e-commerce brand, combining analytics, CRM automation, inventory logic, and self-improving Retell AI call workflows.
Good Food Project
CompletedA full-stack AI content engine for a UK organic food brand with human-in-the-loop review, brand-grounded content generation, image matching, and scheduled publishing.
LinkedIn Outreach Automation Platform
CompletedA vision-driven automation platform that runs a real-time LinkedIn outreach pipeline from scraping and enrichment through AI note generation and connection sending.
Lost-N-Find
CompletedA mobile AI lost-and-found platform with claim scoring, admin review, realtime notifications, and semantic matching for noisy or incomplete item descriptions.
WhatsApp Freight Agent
CompletedA multimodal AI freight-procurement workflow that automates RFQ intake, vendor outreach, quote collection, follow-up, and booking confirmation from WhatsApp conversations.
ACADEMIC JOURNEY
Educational Background
B.S. Electrical Computing & Communication Engineering
Certifications
Continuedlearning
Machine Learning Specialization
Coursera
Deep Learning Specialization
Coursera
Machine Learning in Production
Coursera
TensorFlow for AI, ML and DL
Coursera
Generative AI with LangChain and Hugging Face
Udemy
Contact
Let's buildsomething useful
Availability
Open to AI/ML, LLM, and backend engineering opportunities. If you're hiring for AI engineering, LLM products, RAG systems, voice automation, or backend-heavy product work, I'd be happy to talk.