Mr. Naveed Hakim SCIT - BNU

Mr. Naveed Hakim

Senior Lecturer

School of Computer & IT (SCIT)

Muhammad Naveed Hakim is a Senior Lecturer at SCIT, Beaconhouse National University, Lahore, and a Machine Learning Engineer with 5+ years of experience. He specializes in NLP, speech technologies, and deep learning, working on AI healthcare and automation systems, bridging academic research and industry through deployable intelligent AI solutions and applications.

Bio

Muhammad Naveed Hakim is a Senior Lecturer at the School of Computer and Information Technology (SCIT), Beaconhouse National University (BNU), Lahore. He is a Machine Learning Engineer and educator with over 5 years of industry and research experience, specializing in Natural Language Processing, Speech Technologies, and Deep Learning.

He has industry and research experience working on AI-driven systems in healthcare and automation, including his role as a Technical Lead and Machine Learning Engineer where he contributed to the development of clinical NLP, speech, and generative AI solutions. His work also includes research collaborations with academic labs such as the LUMS AIHI Lab, where he contributed to designing and fine-tuning AI models for healthcare applications.

His expertise lies in building deployable AI systems, with a strong focus on clinical NLP, intelligent automation, and speech-based AI, bridging research and real-world applications in both academia and industry.

Academics

  • MS Computer Science, Lahore University of Management Sciences (LUMS), Lahore, Pakistan
  • BS Computer Science, Namal College (University of Bradford Affiliated), Mianwali, Pakistan

Experience

  • Senior Lecturer, SCIT, BNU (Present)
  • Technical Lead (ML), AIHI Lab, LUMS (2024–2026)
  • Machine Learning Engineer, Ashlar Global (2022–2024)
  • Technical Lead (RPA), Powersoft19 (2021–2022)
  • Associate Software Engineer, Speridian Technologies (2019–2021)
  • Freelancer (RPA & Python), PeoplePerHour (2019–2020)

Projects

  • SensAI Physician Assistant – Clinical NLP pipeline using Whisper, diarization, and Llama-3 (EMR integrated)
  • AI Customer Support Chatbot – LangChain + OpenAI-based assistant
  • News Summarizer – GPT-based clustering and summarization system
  • Hate Speech Profiling System – BERT-based user behavior analysis model
  • Healthcare ROI Automation – RPA orchestration system for hospitals and insurance workflows
  • E-Filing Automation – Computer vision-based EMR entry system
  • Oracle ERP Automation – Enterprise workflow automation (HR, finance, CRM)
  • SMS Spam Detector – ML-based classification system with 98% accuracy

Technical Skills

  • Machine Learning, Deep Learning, NLP, Speech Processing
  • Python, C#, .NET, Java, PHP, JavaScript
  • PyTorch, TensorFlow, LangChain, OpenAI API
  • UiPath, Power Automate, Automation Anywhere
  • MySQL, PostgreSQL, MongoDB
  • Docker, Git, CI/CD
  • Laravel, Node.js, HTML, CSS, Bootstrap
  • Linux, Windows Server

Contact

© 2026 BNU.
Powered bytossdown.com