I am an AI Engineer with over 3 years of professional experience, deeply passionate about leveraging advanced technologies to solve complex challenges and drive innovation. My expertise spans Knowledge Graphs, AI Agents, and Large Language Models (LLMs), complemented by extensive knowledge of deep learning, natural language processing, and machine learning frameworks such as PyTorch, TensorFlow, Keras, and Scikit-Learn. I specialize in developing, training, and deploying AI models to production systems, as well as building custom APIs and web applications. By blending theoretical insights with practical applications, I create impactful, optimized AI-based solutions that foster innovation and address real-world needs.

Professionally, I serve as a Business Intelligence Analyst at an international trading company, where I leverage data science to optimize business operations. My responsibilities include analyzing company performance, developing and enhancing CRM systems, and managing ETL processes to streamline data migration. By evaluating business processes and KPIs, integrating AI capabilities for automation and insights, and designing interactive dashboards for real-time tracking, I support data-driven decision-making and contribute to the company’s mission of expanding global trade with efficiency and transparency.

Academically, I hold a Master of Science in Data Science from the Tehran institute for advanced studies (TeIAS), where I had the privilege of working under the supervision of Dr. Hossein Hojjat. My thesis, FPSDN: Fault Prediction in Software-Defined Networks, introduced a pioneering tool for proactive fault detection in SDNs. Leveraging the DyNetKAT framework, I developed FPSDN to analyze OpenFlow logs and predict network faults, achieving a 98.43% reduction in packet volume during preprocessing while enhancing network reliability and security. Also, I have extensive experience with Active Model Learning algorithms, notably L* and TTT algorithms. These algorithms offer systematic methodologies for inferring models from systems based on observed behaviors. Through my work, I’ve delved into their applications, understanding their strengths, and potential limitations. Additionally, I earned a Bachelor of Science in Computer Science from Sharif University of Technology, majoring in Computer Engineering, which laid a robust foundation for my technical pursuits.

My interests generally lie in the areas of AI Engineering, Knowledge Graphs, LLMs, and AI Agents.

Honors

• Secured 2nd Place in the Decode Cup Contest 2024
• Ranked 3rd in cumulative GPA at TeIAS Computer Engineering Department among 2021 entrants.
• TeIAS Graduate Scholarship for Data Science, Tehran, Iran.
• Ranked 62nd among more than 100,000 participants in the Iranian Nationwide University Entrance Exam for M.Sc..
• Ranked 130th among more than 240,000 participants in the Iranian Nationwide University Entrance Exam for B.Sc.