Summary
AI Engineer with production experience deploying LLMs, RAG systems, and computer vision pipelines at government scale. Built and shipped 12+ AI-powered applications serving hundreds of users across Abu Dhabi. IEEE Access-published researcher with dual BS in Computer Science and Computer Engineering (3.81 GPA). Specializing in inference optimization (vLLM, TensorRT), retrieval-augmented generation, and full-stack AI development.
Skills
Python, TypeScript, Go, C++, SQL, JavaScript, Verilog
PyTorch, vLLM, TensorRT, Triton, FAISS, pgvector, OpenCV, Hugging Face, Ollama, Scikit-Learn
FastAPI, React, Next.js, React Native, Agno, LangChain, Django
Docker, Kubernetes, Azure (AKS, Entra, AI Foundry), PostgreSQL, Redis, Helm, GitHub Actions
Experience
AI Engineer
The Department of Municipality and Transport · Abu Dhabi, UAE
- Deployed YOLOv11l with TensorRT optimization achieving ~60 FPS real-time object detection from 1000+ live CCTV feeds.
- Implemented a RAG system processing 10,000+ legal documents using OpenAI text-embedding-3-large, GPT-4o, Mistral OCR, and FAISS, delivering sub-2-second response times for Abu Dhabi law queries.
- Built a multi-agent AI dashboard with 6 specialized agents using Agno and FastAPI, synthesizing data from 2 government databases and serving 10,000+ internal users with visual analytics.
- Built an enterprise chatbot on self-hosted LLMs via vLLM, enabling document Q&A across 1,000+ uploaded files with Docling and EasyOCR, with dynamic chart generation.
- Architected a city-wide road defect detection system using quantized Qwen3 VLM with an LLM-based verification layer, processing dashcam and CCTV footage across 1000+ sources.
- Developed a real-time traffic near-miss detection system using DepthAnythingV2 and OpenCV, estimating vehicle distances and predicting collision trajectories from live video feeds.
- Designed an AI-powered idea platform processing 100+ government employee submissions, auto-generating evaluation reports with GPT-4o and reducing manual review time.
- Containerized 20+ applications with Docker and orchestrated multi-service deployments on Azure Kubernetes Service (AKS) with vLLM for model serving.
- Deployed a government portal with Next.js and FastAPI serving 100+ employees with AI-curated news, course enrollment, and role-based secure chat.
Technology Consultant Intern
Deloitte · Dubai, UAE
- Applied NLP techniques and T5 model to categorize laws and regulations into thematic clusters, generating representative questions for each group.
- Developed a 3D OT network visualization system using React.js, Three.js, and TypeScript, enabling real-time inspection of complex network topologies.
- Built a full-stack web application with Next.js, Django, and PostgreSQL with REST APIs for seamless data management across the project.
Software Engineering Intern
Mohammed Bin Rashed University of Medicine · Dubai, UAE
- Automated document generation and distribution pipeline with Power Automate, reducing manual processing time by 80% for stakeholder communications.
Embedded Systems Engineer Intern
Remal IoT · Sharjah, UAE
- Designed a custom PCB shield in KiCad for the Shabakah board and led an Arduino/ESP32 workshop for 30+ college students.
Education
American University of Sharjah
BS in Computer Science & Computer Engineering
GPA: 3.81/4.0