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AI Engineer with 3+ years in deep learning & generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer with 2+ years of experience in machine learning, deep learning, and data science. Skilled in developing and deploying AI solutions including Generative AI, Large Language Models (LLMs), computer vision, and MLOps. Proficient in Python, TensorFlow, PyTorch, and cloud platforms including AWS, Azure, and GCP. Experienced in building scalable systems, optimizing model performance, and streamlining workflows to drive real-world impact.
The Islamia University of Bahawalpur
B.S. · Artificial Intelligence
N/A – Present
Pakistan AI Vision Group (USA) & DeepEmbed Lab
AI Intern
December 1, 2024 – October 1, 2025
Bahawalpur, Punjab, Pakistan
Remote Client
AI/ML Engineer
January 1, 2024 – June 1, 2026
India
AI Resume-Job Matching & Skill Gap Analyzer
June 27, 2026 – Present
Designed an AI-driven resume-job matching engine featuring semantic skill alignment scoring using NLP + RAG. Identified missing skills and generated targeted improvement recommendations using LLM reasoning. Improved candidate-to-job match precision by 40% compared to traditional keyword-based baselines.
AI Fashion Fit & Size Recommendation Engine
June 27, 2026 – Present
Developed a computer vision-based apparel fit recommendation system that reduced size mismatch errors by 30%+. Extracted body proportions using pose estimation and regression models for accurate size mapping. Deployed a FastAPI microservice delivering real-time size recommendations under 200ms latency.
Multilingual Invoice & Receipt Intelligence System
June 27, 2026 – Present
Built an end-to-end multilingual document intelligence pipeline achieving 92% field extraction accuracy across 6 languages. Combined OCR, layout-aware transformers, and LLM validation to handle complex invoice formats. Reduced manual accounting data entry time by 75% through automated document processing.
Foundations of AI and Machine Learning
Microsoft
June 1, 2026 – Present
Google AI Essentials Specialization
June 1, 2026 – Present
Remote Sensing Data Analysis with Python for Disaster Management
IEEE GRSS Lahore Chapter
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Hello, Python!
June 1, 2026 – Present
Maximize Productivity With AI Tools
June 1, 2026 – Present
Generative AI Application Developer
PAK_ANGELS, UETIANS Lahore Endowment Foundation USA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (computer vision, NLP, generative AI, RAG systems) and the breadth of technologies used (various frameworks, cloud platforms, MLOps tools) suggest a strong interest in exploring different facets of AI engineering. The 'AI Intern' role and 'Quantum ML Research Engineer' (in progress) indicate a continuous learning mindset and engagement with cutting-edge research. The personal projects demonstrate initiative and a drive to apply AI to real-world problems, which aligns well with an innovative and results-oriented culture. The certifications further reinforce a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate's resume highlights 'Leadership, Critical Thinking, Problem Solving, Communication, Team Work' as soft skills. The project descriptions indicate an ability to work on complex problems and deliver solutions, suggesting good problem-solving and critical thinking. The remote AI/ML Engineer role implies adaptability and independent work. However, without direct interview data or specific examples, the depth of these soft skills and their operational fit cannot be fully assessed.