Experience

  1. Research Assistant

    Chalmers University of Technology (Gothenburg, Sweden)
    Developed an Android app for real-time on-device book detection and OCR (~250 ms) using EfficientDet and Google ML Kit, with a custom text-matching module for fast, private inventory management.

  2. Master Thesis Project

    Whywaste AB (Gothenburg, Sweden)
    Developed an automated food inventory model using object detection and a novel object similarity network for visual clustering, leveraging synthetic data to reduce reliance on real samples and streamline training.

  3. Assitant Business Manager

    Pakistan Telecommunication Company Limited (Karachi, Pakistan)
    Managed telecommunication infrastructure and 6,000 subscribers, leading a 24-member team to maintain and expand networks while implementing retention strategies that grew the customer base.

  4. Process Engineering Intern

    Procter & Gamble (Karachi, Pakistan)
    Conducted PR analysis on a new packing line to enhance troubleshooting, developed a logistics tracker for cost monitoring, and streamlined processes to reduce time and improve efficiency.

  5. Sales and Design Intern

    Avanceon Middle East & South Asia (Karachi, Pakistan)
    Applied CRM tools to improve sales at Avanceon. Gained expertise in Rockwell Automation systems and IAB software, while researching industrial applications and safety standards to strengthen technical knowledge.

Education

  1. PhD Electrical Engineering

    Chalmers University of Technology (Gothenburg, Sweden)

  2. MSc. Complex Adaptive Systems

    Chalmers University of Technology (Gothenburg, Sweden)

  3. BE Electrical Engineering

    National University of Sciences and Technology (Islamabad, Pakistan)
Skills & Hobbies
Deep Learning

Extensive experience building custom Transformer, CNN, RNN, and GNN models for vessel centerline detection, image segmentation, object detection, registration, and diverse ML tasks including semi/self-supervised, reinforcement learning, and NLP.

Programming

Experience with Python, PyTorch, TensorFlow, CUDA, C++, and MATLAB.

Datasets and Validation

Skilled in creating custom datasets for image segmentation and spatial graphs, handling large-scale multimodal data (CT, MRI, endoscopy, images, text) for model training and validation using extensive evaluation criteria.

Software Engineering

Git, Bash, Conda, Linux, Cloud GPUs (SLURM, Google Cloud), Experiment tracking (Neptune, Weights & Biases), Android software development.

Awards
Languages
100%
English
50%
Spanish