Mr. Saad Azhar SCIT - BNU

Mr. Saad Azhar

PhD Scholar & Academician

Senior Lecturer

School of Computer & IT (SCIT)

Mr. Saad Azhar is a Senior Lecturer at SCIT, BNU, Lahore, with over a decade of experience in machine learning, deep learning, data engineering, and full-stack development. Pursuing a PhD, he works as a Machine Learning Scientist, with prior roles in data engineering and lecturing, combining theory and practical AI applications.

Bio

Mr. Saad Azhar is a Senior Lecturer at the School of Computer & Information Technology (SCIT), Beaconhouse National University (BNU), Lahore. He has over a decade of professional experience spanning machine learning, deep learning, data engineering, and full-stack software development.

Currently, he is pursuing a PhD in Machine/Deep Learning and serves as a Machine Learning Scientist for Comparables AI, a Finnish startup. He has also worked as a data engineer in an Australian e-commerce startup and has previously served as a lecturer at University of Central Punjab. His experience covers theoretical concepts and practical implementation for AI, web development, and software engineering projects.

Academics

  • PhD (Course Work Completed) in Computer Science, National University of Computer and Emerging Sciences (FAST), Lahore, Pakistan (2021 – Present)
  • MS in Computer Science, National University of Computer and Emerging Sciences (FAST), Lahore, Pakistan

Experience

  • Senior Lecturer, School of Computer & Information Technology, Beaconhouse National University (BNU), Lahore
  • Machine Learning Scientist, Comparables AI / ByteSol, Helsinki, Finland (Remote Pakistan) (2021 – Present)
  • Software/Data Engineer, Prowisetech / Mega-e-Store, Sydney, Australia (Remote Pakistan) (2020 – 2022)
  • Lecturer, University of Central Punjab, Lahore, Pakistan (2017 – 2021)
  • Full-Stack Developer / Software Engineer, Intuitive App Studio and Makeityourweb / 3S Solutions Pvt Ltd – Various Roles

Skills & Expertise

  • Generative AI, Data Extraction, Summarization, RAG with LLMs (ChatGPT, Gemini, Vertex AI)
  • Fine-tuning NLP models, embeddings with Llama 2, Sentence Transformer (MPNET), BERT
  • Python (Numpy, Pandas, Scrapy, Matplotlib, Seaborn, Sklearn), FASTAPI, PyTorch
  • Machine Learning: PCA, FA, Naive Bayes, SVM, Decision Tree, Random Forest, MLP, K-means, KNN
  • Data Sources: ElasticSearch, PostgreSQL, MySQL | Cloud Platforms: AWS, Azure
  • Web Development: HTML, CSS, JavaScript, PHP, Laravel, WordPress, Magento
  • Deployment: Docker, FASTAPI, GPU-based embedding generation, inference endpoints

Project Highlights

  • Comparables AI: Data extraction, summarization, knowledge graph generation, user intent detection, BERT pretraining and fine-tuning of embeddings for search & recommendation systems.
    https://www.comparables.ai/
  • UAE General Women’s Union: AR-based application for royal family awards with web admin panel, Android & iOS apps.
    Android App | Web App
  • Bizbench: Accounting software for business benchmarking and reporting using PHP, WordPress, ExtJS.
    http://bizbench.com
  • Utah Hogle Zoo: Website redevelopment and admin panel implementation for zoo management using PHP, WordPress, ExtJS.
    http://www.hoglezoo.org/

Contact

  • Email Address: saad.azhar@bnu.edu.pk
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