Sara Adnan Ghori

PROFESSIONAL PROFILE I am 8th semester Software Engineering student passionate about building impactful AI-driven solutions. With hands-on experience in machine learning, LLM-based applications, and web development, I’ve developed projects from concept to deployment. My involvement in university organizations has also strengthened my leadership, collaboration, and communication skills, enabling me to deliver technology that aligns with real-world user needs. EDUCATION BE Software Engineering School of electrical engineering and computer science , Islamabad , 3.49 (2026) INTERNSHIP EXPERIENCE Planetive 24-Jun-2025 - 29-Aug-2025 During my internship, I worked on a web development project, focusing mainly on the frontend using React. My responsibilities included developing key features for the application, integrating it with a Supabase database, and preparing essential project documentation such as the Scope, SRS, and User Manuals to support the system’s implementation. MachVis Lab NUST 03-Jun-2024 - 30-Aug-2024 Built object detection models for autonomous vehicles using YOLOv8, achieving 74.9% accuracy on obstacle detection. Conducted model performance evaluations and comparisons using SAM, supporting data driven decision-making for deployment. Partnered with engineering on optimization and feature delivery timelines. FINAL YEAR PROJECT HRXpert : Automating Talent Acquisition using Artificial Intelligence Designed and developed an AI-powered Applicant Tracking System (ATS) that automates key stages of the recruitment process using Large Language Models (LLMs). The system performs intelligent resume parsing and resume scoring, conducts real-time conversational AI interviews via WebRTC, and provides recruiters with structured analytics and candidate rankings. The platform is built on a scalable, secure microservices architecture, emphasizing low latency, explainable AI outputs, bias mitigation, and efficient end-to-end candidate management. TECHNICAL EXPERTISE AI-Powered Resume Analysis & Scoring (LLMs + Python) Built an end-to-end AI-based resume scoring system using LLMs and Python, applying prompt engineering, skill extraction, and semantic similarity to evaluate candidate–job relevance. Machine Learning & Deep Learning Developed and evaluated ML/DL models using PyTorch, including object detection systems with YOLOv8, YOLOv11, Faster R-CNN, and SAM for real-world applications. LLM Integration & Prompt Engineering Integrated multiple LLM APIs into applications, designing effective prompts and evaluation metrics to optimize accuracy, latency, and

I am 8th semester Software Engineering student passionate about building impactful AI-driven solutions. With hands-on experience in machine learning, LLM-based applications, and web development, I’ve developed projects from concept to deployment. My involvement in university organizations has also strengthened my leadership, collaboration, and communication skills, enabling me to deliver technology that aligns with real-world user needs.