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AI Engineer with 3+ years in Generative AI, Agentic AI, and Computer Vision
Microsoft Certified AI Engineer & Data Scientist specializing in Generative AI and Agentic AI systems, with 3 years of hands-on expertise in building and deploying intelligent, autonomous solutions. Proficient in LLM orchestration with LangChain and LangGraph and skilled in developing Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone, FAISS, and ChromaDB. Hands-on experience in Computer Vision with libraries like OpenCV, TensorFlow, and PyTorch, keras, implementing solutions using YOLOv8, MTCNN, and ESRGAN for real-time object detection, facial recognition, and image enhancement. At CrecenTech, I have engineered Generative AI-driven automation tools using GPT-40-mini, Pandas, and Flask/FastAPI, including campaign schedulers and Agentic AI chatbots such as an HR assistant and a medical support system using fine-tuned DeepSeek models. Proficient in data processing and machine learning libraries including NumPy, Scikit-learn, and Hugging Face Transformers, with experience deploying scalable AI applications via FastAPI. Passionate about leveraging Generative AI, Agentic AI, and Computer Vision to create adaptive, intelligent systems that enhance operational efficiency and drive innovation.
GIFT University
Bachelor in Science · Data science
January 1, 2020 – December 1, 2024
CrecenTech Systems Private Limited
AI/ML Engineer
October 1, 2024 – Present
Lahore, Punjab, Pakistan
Fiverr
AI/ML Engineer
October 1, 2024 – October 1, 2024
Lahore, Punjab, Pakistan
The Disrupt Lab
AI/ML Engineer
January 1, 2024 – August 1, 2024
Sialkot, Punjab, Pakistan
Fiverr
Data Analyst
January 1, 2021 – Present
Pakistan
Vegetable Detection and Recognition Using Machine Learning (Yolov8)
August 1, 2024 – September 1, 2024
I developed a Vegetable Detection and Recognition system using advanced computer vision techniques to accurately detect and identify different vegetable types. The system leveraged image processing and machine learning models to analyze visual data, enabling precise recognition of various vegetables in real-time.
Class Surveillance System (Final Year Project)
April 1, 2024 – September 1, 2024
• Automated attendance using facial recognition, recording student presence in real-time. • Detected classroom behavior like mobile phone usage and sleep patterns to enhance student engagement. • Stored all attendance and behavior data in a real-time database, ensuring continuous data availability. • Created a web interface for teachers, administrators, and students to access real-time reports and data. • Generated a detailed progress report at the end of the term, allowing students to review attendance and behavior statistics via their personal portal.
Smart Security System
November 1, 2023 – December 1, 2023
I developed a Smart Security System that leverages AI and computer vision to detect weapons in real-time, significantly improving security protocols. The system automatically identifies potential threats, enabling faster responses and enhancing overall safety in high-risk environments through automated threat recognition.
Autonomous AI Surveillance: Multimodal Deep Learning for Cognitive and Behavioral Monitoring
Institute of Electrical and Electronics Engineers
June 1, 2026 – Present
Microsoft AI/ML Engineer
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different types of projects (academic, personal, freelance, and full-time) demonstrates versatility and a broad interest in AI/ML applications. The roles at CrecenTech and The Disrupt Lab, along with freelance work, show exposure to diverse problem domains, from HR and medical chatbots to security systems and creative design. This breadth of experience and continuous learning, as evidenced by certifications and ongoing education, suggests a good cultural fit for an innovative and dynamic AI engineering environment. The focus on real-time applications and cutting-edge technologies aligns well with a forward-thinking culture.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to problem-solving and a strong drive for innovation. The diverse project portfolio, including academic, personal, and freelance work, suggests adaptability and a willingness to tackle various challenges. Collaboration with cross-functional teams is explicitly mentioned, indicating an understanding of team dynamics in a professional setting. However, without specific psychometric test results, a deeper assessment of stress handling, work attitude, and team collaboration is not possible.