Experience

  1. ML Engineer Intern

    EZITECH
    • Boosted model accuracy by 10% using data cleaning and deep learning (CNNs, RNNs).
    • Developed TensorFlow-based production models.

  2. Data Science Intern

    Digital Empowerment Network
    • Led a 3-member team to optimize anomaly detection models.
    • Reduced false positives by 15% using Isolation Forest and Autoencoders.

  3. Data Science Intern

    InternCraft
    • Built a house price predictor (XGBoost, 92% R²).
    • Conducted RFM-based customer segmentation.

Education

  1. BSc Software Engineering

    UET Taxila

    Graduated in 2025 with CGPA: 3.40/4.0

    Relevant Courses:

    • Machine Learning
    • Deep Learning
    • Computer Vision
    • Data Science
    • Software Development
Skills & Hobbies
Languages & Frameworks
Python
TensorFlow / Keras
FastAPI / Flask / Streamlit
MLOps & Tools
Docker / GitHub Actions
Hugging Face / NVIDIA NeMo
AWS / GCP
Awards
Machine Learning Specialization
DeepLearning.AI (Stanford, Andrew Ng) ∙ June 2023
Deep Learning Specialization
DeepLearning.AI (Stanford, Andrew Ng) ∙ September 2023
Completed 5-course specialization focused on deep learning foundations, CNNs, sequence models, and deployment strategies. View verified badge on Credly.
MLOps Specialization
Duke University (Coursera) ∙ October 2023
NLP Certification
NVIDIA ∙ December 2023
Languages
100%
English
100%
Urdu