Assistant Professor, SEECS, NUST
10 years of experience
I am an AI researcher and educator with a strong foundation in computational linguistics, currently serving as Assistant Professor at the Department of AI & Data Science, SEECS-NUST. Alongside my academic role, I have hands-on industry and HPC experience in deploying scalable AI and infrastructure solutions.
As a GenAI Solution & Content Architect at Educative Inc., Washington, I developed training programs and technical content for Docker, Kubernetes, DevOps pipelines, and Generative AI. These programs are now used globally by industry teams transitioning to modern cloud-native and AI-enabled systems.
My professional experience includes:
Deploying and managing containerized environments for industrial and research applications using Docker and Kubernetes across multi-cloud and HPC infrastructures.
Training engineering and data science teams in DevOps best practices, container orchestration, and HPC workflows for AI model deployment and optimization.
Integrating and scaling LLM-based solutions in production environments, including model fine-tuning and inference acceleration using DeepSpeed and HuggingFace Accelerate.
Creating technical manuals and workshops for enterprises adopting Generative AI tools in regulatory, telecom, and energy optimization domains.
Key projects include:
Architecting hybrid LLM-powered systems for customer support automation.
Leading research on federated learning for energy-efficient LLM deployments in HPC environments.
Supervising projects that integrate AI into thermal comfort and energy optimization in smart buildings.
I also hold professional experience and provide corporate training on:
Docker and Kubernetes
DevOps pipelines and HPC for AI workloads
Generative AI and LLM deployment for industry applications
This combination of research depth and applied technical expertise positions me to train professionals and lead deployments of advanced software ecosystems in industrial, scientific, and medical domains.
specialize in deploying, managing, and training professionals on advanced software systems and infrastructure widely used in industrial and scientific settings. My core expertise includes:
Containerization & Orchestration: Docker, Kubernetes
DevOps Toolchains: CI/CD pipelines, Infrastructure as Code, Monitoring
Generative AI & Large Language Models (LLMs): HuggingFace Transformers, OpenAI APIs, DeepSpeed for model optimization, deployment of LLMs in production environments
High-Performance Computing (HPC): Experience in scaling AI workloads across distributed systems
Generative AI & LLMs: HuggingFace Transformers, OpenAI APIs, DeepSpeed, and LangChain for developing and deploying large-scale AI systems in industry
Cloud Platforms: AWS, Google Cloud, Azure (optimizing infrastructure for AI/ML workloads)
I design and deliver specialized training programs to upskill professionals in deploying containerized microservices architectures, HPC systems, and industrial-grade AI solutions.
www.linkedin.com/in/mehwish-fatima-raja https://scholar.google.com/citations?user=zEyTPkMAAAAJ&hl=en https://seecs.nust.edu.pk/faculty/mehwish-fatima/