I’m Dr. Sajid Alam, a Professional Machine Learning Engineer and PhD in Electronic Engineering (Jeju National University) from Pakistan. I specialize in designing AI-driven systems that automate and optimize network and security operations. I’m currently learning DevOps best practices—CI/CD pipelines, containerization, and infrastructure as code—to ensure my solutions are production-ready. I’m also open to contributing to open source projects and collaborating on innovative AI initiatives.

• 🎓 PhD Electronics Engineering, Jeju National University (2022‑2025)
• 🌍 Based in Jeju Island, South Korea
• 🛠️ Expertise: Machine learning, Deep Learning, DRL, GNNs, LLMs, SDN/NFV, Cybersecurity

• LLM‑IBN for Resource Orchestration (PhD Thesis)

  • Integrated T5 text‑to‑text model with Kubernetes to automate translation of high‑level intents into network policies.
  • Presented at APAN 58, Islamabad, Pakistan.

• IBN@TEIN: AI‑Driven Networking Platform

  • Developed overlay network solution for cloud‑to‑cloud VM communication under the Asia‑connect initiative.
  • Employed Graph Neural Networks for optimal path selection; presented at APAN 55, Kathmandu, Nepal.
  • Enhanced with DRL for QoS‑driven link cost tuning.

• SAGIN Resource Management

  • Designed IBN‑based resource allocation in Space‑Air‑Ground Integrated Networks.
  • Published at ICNC 2025.

• Developed ANN‑based intrusion detection for DDoS using the CICIDS2017 dataset.

• Journal & Conference Papers: Multiple peer‑reviewed papers on IBN, GNNs, DRL, published in top conferences and journals.
• Workshops:
  • IBN@TEIN Workshop (Jan 2023, Karachi)
  • APAN 55 (Mar 2023, Kathmandu)
  • APAN 58 (Aug 2024, Islamabad)

Generated with ❤️ by Dr. Sajid Alam’s GitHub Profile