Professional Overview
Experienced Machine Learning Engineer with specialization in AI-driven solution development, end-to-end model design, data analysis, and deployment. Skilled in Python, SQL, R and deep learning frameworks including PyTorch and TensorFlow. MBA from Sharif University of Technology with a proven ability to translate complex data into actionable strategies. Recognized for strong problem-solving abilities and effective teamwork.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
