CV

Education

• MSc in Computer Vision, MBZUAI, Abu-Dhabi, 2024–2026
  • Supervised by Ivan Laptev
  • GPA: 3.75/4.0
  • Coursework: Human and Computer Vision, Geometry for Computer Vision, Visual Object Recognition and Detection
  • Thesis topic: Human Object Interaction Synthesis
• BEng in Electrical Engineering, SEECS, NUST
  • Supervised by Dr. Wajahat Hussain
  • GPA: 3.45/4.0
  • Coursework: Computer Vision, Machine Learning, Digital Signal Processing

Work experience

Computer Vision Intern

VisionLabs, Remote Jun 2024 - Jul 2024

• Implemented LoRA-X to enhance Tiny-Vit models, enabling the learning of new attacks while preserving knowledge from previous models.
• Trained deepfake detection models on Veo3 and KlingAI datasets.

Data Scientist

Softtech Solutions, Islamabad, Pakistan
Jan 2024 – Aug 2024

• Designed, trained, and optimized a Document AI pipeline using PyTorch and TorchServe to extract structured data from wine menus with high accuracy
• Managed and enhanced a comprehensive database of over 500,000 wine entries, ensuring data integrity and scalability
• Developed and deployed a robust backend system using Django, enabling seamless integration with front-end applications and efficient data processing
• Spearheaded the deployment process, transitioning from AWS EC2 to Hyve Solutions servers, improving system performance and reducing costs

Machine Learning Engineer

Remote
Jan 2023 – Aug 2024

• Engineered a Deep Learning model capable of extracting structured wine information from diverse PDF templates, achieving reliable performance across over 10,000 data points
• Deployed a Docker Compose application integrating Django, MySQL, and TorchServe APIs to an AWS EC2 instance
• Built a stock price forecasting model in TensorFlow, delivering high accuracy and actionable insights for financial predictions
• Used Amazon Textract and PyTorch to digitize and analyze pre-1900 documents, preserving historical data with machine learning

Machine Learning Engineer

DCube Tech, Islamabad, Pakistan
Jun 2022 – Jan 2023

• Updated and optimized multimodal PyTorch models for Document AI
• Built and maintained data and model pipelines using DVC
• Enhanced data processing systems by analyzing and debugging 5000+ lines of code
• Helped deploy models that served over 800 clients

Data Analyst

UniVision, Islamabad, Pakistan
Jun 2022 – Nov 2022

• Collected, cleaned, and analyzed undergraduate admission data for over 500 universities globally
• Researched and identified valuable sources of university data
• Performed quality assurance for over 100 university profiles
• Led a small data mining team of two analysts

Research Intern

ROMI Labs, Islamabad, Pakistan
Jun 2022 – Nov 2022

• Contributed to projects involving machine learning, data encryption, and adversarial attacks in virtual environments
• Executed JSMA attacks on ML models and implemented AES encryption within Minecraft
• Worked with Microsoft’s Malmo project to create user-specific virtual worlds

Projects

Exploring Blindness of MLLMs (AI701)

• Conducted research to identify limitations in the visual capabilities of state-of-the-art multimodal language models (MLLMs)
• Tools: Python, PyTorch, HuggingFace

Medical Document Information Extractor

• Developed a BERT-based deep learning model for named entity recognition in medical documents
• Tools: Python, PyTorch, DVC, Git, AWS Textract, HuggingFace

Bachelor’s Thesis: Robot Policy using Machine Learning (2022)

• Built a hand gesture recognition system using the HANDS dataset and OpenCV
• Enabled a robot vehicle to receive commands via Bluetooth based on hand gesture inputs
• Tools: Python, OpenCV, Arduino

Skills

• Machine Learning Stack: PyTorch Lightning, Hydra, PyTorch, Scikit-learn, TensorBoard, TorchServe, TFX, HuggingFace
  
• Python Stack: NumPy, Pandas, Matplotlib, Selenium, OpenCV, TensorBoard, Flask, Django
• Database Stack: MySQL, PostgreSQL, DBeaver
• Version Control: Git, DVC
• Misc: GCP, AWS