06/15/2026 updated
100 % available
AI Engineer | LLMs & RAG Systems | Python Backend Developer
Islamabad, Pakistan
Worldwide
Bachelor of Computer Science (Specialization in AI), PMAS Arid University Rawalpindi, CGPA 3.56About me
I am Muhammad Soban Hameed, an AI Engineer specializing in LLM-based applications, RAG systems, and backend development. I have completed my BSCS and have experience in building AI-driven solutions like chatbots, recruitment automation systems, and CV models using Python, FastAPI, YOLO.
RESTful API Modeling LanguageApplication Programming Interfaces (APIs)Python (Programming Language)Messaging Application Programming InterfaceTensorFlowFlaskLarge Language ModelsBackendFastAPIBackend ProgrammingFront End Software DevelopmentArtificial Intelligence Markup Language (AIML)
LLM-Based Application Development
Expertise in building and integrating Large Language Model applications using LLaMA, OpenAI, and LangChain for automated insights, response generation, and context-aware information retrieval from custom datasets.
RAG Systems & Multi-Agent Architecture
Design and implementation of Retrieval-Augmented Generation systems using FastAPI, FAISS, Sentence Transformers, and Groq LLaMA, including multi-agent architectures with OCR, PDF parsing, vector search, and hallucination control.
Python Backend Development
Development of scalable backend APIs and pipelines using Python, FastAPI, and Flask for AI system integration, data processing, and real-time AI performance optimization.
Computer Vision & Object Detection
Real-time object detection and computer vision model development using YOLOv8, including dataset annotation, model training, validation, and pipeline setup via tools like Roboflow and Google Colab.
Database Management
Proficiency in relational and cloud databases including MySQL, PostgreSQL, and Supabase, with experience in SQL-optimized queries and data modeling for scalable applications.
AI-Powered Automation Systems
Building AI-driven automation solutions such as recruitment automation systems in Odoo with intelligent CV parsing, candidate ranking, and semantic skill extraction using LLaMA 3.3 API from GROQ.
Machine Learning Frameworks
Hands-on experience with machine learning frameworks and libraries including TensorFlow, Scikit-learn, and Streamlit for building and deploying AI-enabled applications.
Frontend Integration & Full-Stack AI Applications
Development of full-stack AI applications integrating backend services built with FastAPI and frontend interfaces using React, enabling end-to-end intelligent user interaction.
Version Control & Collaboration
Proficient use of Git and GitHub for version control, source code management, and collaborative software development across multiple AI and backend projects.
Expertise in building and integrating Large Language Model applications using LLaMA, OpenAI, and LangChain for automated insights, response generation, and context-aware information retrieval from custom datasets.
RAG Systems & Multi-Agent Architecture
Design and implementation of Retrieval-Augmented Generation systems using FastAPI, FAISS, Sentence Transformers, and Groq LLaMA, including multi-agent architectures with OCR, PDF parsing, vector search, and hallucination control.
Python Backend Development
Development of scalable backend APIs and pipelines using Python, FastAPI, and Flask for AI system integration, data processing, and real-time AI performance optimization.
Computer Vision & Object Detection
Real-time object detection and computer vision model development using YOLOv8, including dataset annotation, model training, validation, and pipeline setup via tools like Roboflow and Google Colab.
Database Management
Proficiency in relational and cloud databases including MySQL, PostgreSQL, and Supabase, with experience in SQL-optimized queries and data modeling for scalable applications.
AI-Powered Automation Systems
Building AI-driven automation solutions such as recruitment automation systems in Odoo with intelligent CV parsing, candidate ranking, and semantic skill extraction using LLaMA 3.3 API from GROQ.
Machine Learning Frameworks
Hands-on experience with machine learning frameworks and libraries including TensorFlow, Scikit-learn, and Streamlit for building and deploying AI-enabled applications.
Frontend Integration & Full-Stack AI Applications
Development of full-stack AI applications integrating backend services built with FastAPI and frontend interfaces using React, enabling end-to-end intelligent user interaction.
Version Control & Collaboration
Proficient use of Git and GitHub for version control, source code management, and collaborative software development across multiple AI and backend projects.
Experience
Professional experience0 - 5 years
Freelancer since2021
Languages
EnglishFluent
Project history
Led development of an AI-powered recruitment automation system in Odoo enabling intelligent CV parsing and candidate ranking. Built and deployed an AI medical assistant chatbot for structured patient data collection. Designed a RAG-based chatbot using LangChain for context-aware information retrieval. Integrated LLMs (LLaMA 3.3, OpenAI) for automated insights and developed FastAPI/Flask APIs for real-time AI performance.
Implemented a FastAPI-based RAG system for document QA using Sentence Transformers, FAISS, and Groq LLaMA. Designed a multi-agent architecture with OCR, PDF parsing, vector search, and strict hallucination control via context-only LLM responses.
Built an AI-powered medical assistant chatbot using Python for intelligent patient interaction. Integrated LLMs to collect patient details, interpret symptoms, and generate structured clinical insights. Developed backend services with FastAPI and frontend in React.