About me

I am an AI/ML and Networking engineer and researcher with expertise in deep learning, generative AI, domain adaptation, and wireless/optical communications and networks. I am experienced in developing cutting-edge AI models and fine-tuning LLMs for optimization and decision-making in dynamic environments. I have strong programming skills in Python and PyTorch, with a deep passion to advance ML techniques and apply them to real-world challenges. Quick to adapt to new technologies with strong problem-solving and collaboration skills.

Over the course of my career, I have led extensive research initiatives in AI/ML, contributing to both theoretical advancements and practical applications:

• Designed deep learning models for failure prediction and anomaly detection, improving predictive accuracy.

• Enhanced model generalization with domain adaptation (DANN, self-supervised) and improved efficiency via knowledge distillation.

• Collaborated with Intel AI/ML teams to develop adaptive machine learning models for time-variant datasets and real-time data processing, improving performance in real-world AI applications.

• Led feature engineering efforts and statistical analysis for large-scale datasets, optimizing data-driven insights.

• Performed pattern recognition and text classification using few-shot prompting, prompt engineering, and LLM fine-tuning.

• Developed agentic AI systems using LangChain/LangGraph.

Technical Skills

• ML Lifecycle: Data Collection, Cleaning, Transformation, Feature Engineering, Pipeline Development, Model Integration.

• AI & ML: Traditional ML (Random Forest & XGBoost), Deep Learning (CNNs, RNNs, LSTMs), Generative AI (GANs & LLM), Agentic AI (LangChain/LangGraph), Federated Learning, Reinforcement Learning, Transfer Learning.

• Programming & Frameworks: Python, PyTorch, C++, Scikit-learn, SQL, AWS.

• Mathematical & Statistical Methods: Probabilistic Modeling, Convex Optimization, Bayesian Inference.

• Networking: Cloud/Edge computing, Internet of Things (IoT), Internet of Vehicles (IoV), Unmanned aerial vehicles (UAVs), Satellite Communications, Elastic Optical Networks (EONs).

Qualifications

Doctor of Philosophy (Ph.D.), The University of Sydney, Australia, 2022

Master of Science (MSc), Sahand University of Technology, Iran, 2014

Bachelor of Science (BSc), Azarbyjan Shahid Madani University, Iran, 2012