Umar Farooq

PROFESSIONAL PROFILE Building intelligent AI systems and web applications that automate workflows, enhance decision-making, and deliver measurable impact. Passionate about turning AI innovations into practical solutions that improve efficiency, drive business value, and enhance user experiences. Key Highlights: Designing and implementing machine learning, Natural Language Processing and Computer Vision solutions to solve real-world problems. Leveraging AI tools and frameworks such as LangChain, LangGraph, Agent Development Kits, and Open/ Closed Source Models to build intelligent, automated workflows. Developing full-stack web applications using Next.js, React, NestJS, FastAPI, ExpressJS, MongoDB and PostgreSQL to integrate AI seamlessly. Structuring scalable systems and microservices for high performance and reliability. Focused on creating AI-powered products that make work smarter, faster, and more effective while delivering tangible business results. EDUCATION Software Engineering National University of Sciences and Technology - School of Electrical Engineering and Computer Sciences, H-12 , Islamabad , 3.32 (2026) INTERNSHIP EXPERIENCE RoadGauge Ltd 01-Jul-2024 - 29-Dec-2024 - Developed end-to-end computer vision pipelines for road condition assessment using Python and OpenCV. - Implemented crack detection, defect localization, and deterioration tracking on large-scale GoPro video datasets. - Implement image processing techniques in OpenCV to reduce defect localization latency by 96% in duplicate defect identification and anlysis. - Collaborated in a team of Computer Vision Engineers to build image processing based road infrastructure evaluation mechanism. China Pakistan Intelligent System Lab 02-Jun-2025 - 07-Sep-2025 - Designed and developed a full-stack AI-driven recruitment automation platform using NestJS, FastAPI, MongoDB, and Next.js. - Integrated LLM-powered resume screening, candidate ranking, and interview intelligence using OpenAI and Gemini APIs. - Built a real-time, full-duplex voice AI interviewer using WebRTC and OpenAI Realtime APIs for human-like interviews. - Implemented asynchronous workers and orchestration pipelines for AI scoring, scheduling, and candidate lifecycle automation. - Focused on scalability, low-latency inference, and production reliability for real-world hiring workflows. FINAL YEAR PROJECT HRXpert - Automating Talent Acquisition using Artificial Intelligence

Building intelligent AI systems and web applications that automate workflows, enhance decision-making, and deliver measurable impact. Passionate about turning AI innovations into practical solutions that improve efficiency, drive business value, and enhance user experiences. Key Highlights: Designing and implementing machine learning, Natural Language Processing and Computer Vision solutions to solve real-world problems. Leveraging AI tools and frameworks such as LangChain, LangGraph, Agent Development Kits, and Open/ Closed Source Models to build intelligent, automated workflows. Developing full-stack web applications using Next.js, React, NestJS, FastAPI, ExpressJS, MongoDB and PostgreSQL to integrate AI seamlessly. Structuring scalable systems and microservices for high performance and reliability. Focused on creating AI-powered products that make work smarter, faster, and more effective while delivering tangible business results.