FAIEZ TARIQ
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.