AI Engineer

Open to part-time

Bio

Umar A is an AI Engineer with over two years of experience in building production-ready AI systems, specializing in Agentic AI and deep learning. He utilizes Python, LangChain, and LangGraph to architect autonomous workflows, and employs FastAPI and Django REST Framework for AI backend development. Umar also integrates LLMs via Hugging Face and OpenRouter and has full-stack capabilities with React.js. His expertise extends to cloud and DevOps using AWS, Docker, and Azure DevOps. At TMR Consulting, Umar developed an Agentic recruitment workflow using LangGraph, achieving 100% accuracy in candidate shortlisting. He also built a RAG system with FastAPI that enhanced information retrieval efficiency for employees. Additionally, he engineered an AI-powered dental disease diagnosis system, achieving 87% mAP with YOLOv8L. Umar is currently pursuing a Bachelor of Science in Computer Science from Riphah International University. He is best suited for roles that involve developing AI-driven applications and full-stack projects, with a focus on enhancing automation and decision-making processes.

Expertise

PythonFast APIReactNext.jsNode.jsSQLAWSPyTorchRelational DatabaseDocument DatabaseGit

Video Intro

Assessments

General Project Assessment

(94/100)

Perfect on Implement LRU Cache AlgorithmMedium
Great on Optimize Angular E-commerce Platform PerformanceMedium

Projects

Agentic Recruitment Workflow

Developed an autonomous recruitment agent that manages the end-to-end screening process using LangGraph for stateful, cyclic logic. Implemented tool-calling to allow the agent to query data and rank candidates based on specific job requirements. Integrated human-in-the-loop approval gates to validate agent decisions and ensure 100% accuracy before final shortlisting.

RAG System

Built a Retrieval-Augmented Generation (RAG) pipeline to perform semantic search over internal PDF documentation, reducing information retrieval time for employees. Architected the system with a FastAPI backend, ensuring lowlatency responses and production-grade stability. Optimized retrieval relevance by implementing hybrid search and text-chunking strategies for complex PDF structures.

AI-Powered Dental Disease Diagnosis System

Engineered CLAHE-enhanced dental image pipelines with class-balanced augmentation. Fine-tuned YOLOv8L to achieve 87% mAP after benchmarking multiple object detection architectures on dental datasets. Delivered a cross-platform system (Web/Mobile) on AWS EC2/S3 and Supabase, enabling secure AI diagnostics via RBAC.

Experience

AI Focused Python Developer
TMR ConsultingJun 2024 — Present
- Architected an Agentic AI recruitment system using LangGraph and LangChain.
- Engineered Python backend for HR Management and Payroll system.
- Resolved critical business logic issues and boosted client satisfaction.
- Collaborated with cross-functional teams to integrate AI agents with Microsoft Business Central.
LangGraphLangChainPythonMicrosoft Business Central
AI/ML Intern
AbsoluitSep 2024 — Feb 2025
- Developed a feature to identify high-demand areas for drivers using clustering algorithms.
- Contributed to AI development and AWS automation.
- Built a module to calculate fares, manage ride-sharing eligibility, and coordinate pickup/drop-off ordering.
PythonMachine LearningScikit-learnEDAFeature EngineeringData VisualizationData CleaningFastAPI
Full Stack Developer
FreelanceApr 2024 — Present
- Developed end-to-end full-stack projects with Node.js and Python backend, collaborating directly with clients to meet business needs.
- Boosted user engagement by 30% through streamlined navigation and product categorization.
- Led deployment and domain management on cloud platforms, ensuring smooth performance.
PythonReact.JsNext.JsExpress.JsNode.JsDeploymentDjango DRF