Summary
Umar A is a Full Stack AI Engineer with over two years of professional experience building production-ready AI systems, specializing in Agentic AI, deep learning, and high-performance AI backends. He has strong expertise in Python and modern AI frameworks, leveraging LangChain and LangGraph to architect autonomous, tool-calling workflows that automate complex business processes end to end. Umar is experienced in designing and deploying Retrieval-Augmented Generation (RAG) systems using embeddings and vector databases such as ChromaDB and Pinecone, as well as integrating LLMs via Hugging Face and OpenRouter for scalable inference. His technical skill set spans AI backend development with FastAPI and Django REST Framework, machine learning and deep learning with PyTorch, Keras, and scikit-learn, and computer vision using OpenCV and YOLOv8 for real-world detection and diagnostic systems. He also brings full-stack capabilities with React.js, solid experience working with SQL and NoSQL databases, and hands-on cloud and DevOps expertise using AWS (EC2, S3), Docker, Git, and Azure DevOps. Across consulting, internship, and freelance roles, he has consistently delivered reliable, production-grade AI solutions that improve automation, decision-making accuracy, and system performance.
Meet Umar A.
Assessment Scores
Perfect on Implement LRU Cache Algorithm, Difficulty Medium
Great on Optimize Angular E-commerce Platform Performance, Difficulty Medium
Experience
TMR Consulting
AI Focused Python Developer
Full-Time
Jun 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.
Technologies:
LangGraph
LangChain
Python
Microsoft Business Central
Absoluit
AI/ML Intern
Hybrid
Sep 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.
Technologies:
Python
Machine Learning
Scikit-learn
EDA
Feature Engineering
Data Visualization
Data Cleaning
FastAPI
Freelance
Full Stack Developer
Full-Time
Apr 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.
Technologies:
Python
React.Js
Next.Js
Express.Js
Node.Js
Deployment
Django DRF
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.
Education
Bachelor of Science in Computer Science
2022 - 2025
Riphah International University
Islamabad
