
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in RAG, Computer Vision & Agentic Systems.
AI/ML Engineer specializing in Retrieval-Augmented Generation (RAG), multi-agent orchestration, and computer vision systems. Hands-on experience building and deploying LLM-powered agentic applications using LangChain, LangGraph, PyTorch, and FastAPI, from research and model development through production deployment with Docker and AWS. BS in Computer Science from FAST-NUCES (CGPA 3.4/4.0, Dean's List – 4 consecutive semesters). Delivered end-to-end systems spanning agentic recruitment platforms, voice-enabled medical RAG assistants, and real-time computer vision security tools. Seeking a full-time AI/ML, Computer Vision, or Agentic AI Engineer role in Faisalabad or Lahore.
FAST-NUCES - Faisalabad
BS · Computer Science (BSCS)
N/A – June 30, 2026
Freelance
AI/ML Engineer – RAG & Agentic Systems
November 1, 2025 – February 1, 2026
India
Brickclay
Backend Developer Intern
July 1, 2024 – August 1, 2024
Faisalabad, Punjab, Pakistan
NeuroHire - AI-Powered Recruitment System
June 24, 2026 – Present
Engineered an end-to-end agentic AI hiring platform automating candidate screening, ranking, and assessment integrity via multi-agent orchestration; built LangChain resume-parsing NLP and LangGraph workflows for LLM-driven candidate scoring, with MediaPipe computer-vision proctoring.
Medical RAG Chatbot
June 24, 2026 – Present
Built a RAG-based medical chatbot with LangGraph-managed stateful multi-turn conversations and vector-database semantic search for accurate, verified medical answers.
RAG-Based Multi-Agent Healthcare Voice Assistant
June 24, 2026 – Present
Built a voice-enabled multi-agent medical assistant for rural patients to address healthcare access gaps: Whisper STT transcribes local-language symptoms, a LangGraph multi-agent RAG pipeline retrieves verified guidance from a medical knowledge base (FAISS/ChromaDB) and nearest-clinic data, then TTS delivers spoken advice.
NeuroSecure - AI-Powered Intruder Detector
June 24, 2026 – Present
Built a Chrome extension using MediaPipe and face-api.js computer-vision models to detect unauthorized users via webcam and lock the browser tab, with on-device AES-GCM encrypted face embeddings.
Advanced Deep Learning & Generative AI Research
June 24, 2026 – Present
Implemented image captioning, Masked Autoencoders (MAE), GAN training, CycleGAN domain adaptation, and Pix2Pix colorization on Kaggle dual-GPU infrastructure.
Responsive Web Design
freeCodeCamp
June 1, 2026 – Present
Machine Learning Basics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical application in cutting-edge AI domains like agentic systems, RAG, and computer vision. The diversity of academic projects, including healthcare and recruitment applications, shows a broad problem-solving mindset. The freelance experience indicates self-motivation and client-facing skills. The academic background with a Dean's List achievement reflects dedication and a strong work ethic, aligning well with a high-performance technical culture.
Soft Skills & Operational Fit
The candidate's experience in freelance work and academic projects suggests an ability to collaborate remotely, manage project timelines, and deliver production-ready features. Participation in code reviews and agile methodologies during an internship indicates a capacity for teamwork and structured development processes. The teaching assistant role also implies strong communication and mentorship skills.