Hello everyone! My name is Meshkat, which means ‘placeholder for light’ in my native language. Welcome to my personal webpage!

Feel free to check out my GitHub repository here: GitHub

I hold a Bachelor’s degree in Computer Engineering and a Master’s degree in Information Technology Engineering from the University of Tehran, College of Interdisciplinary Sciences and Technology, graduating with a GPA of 3.61/4.0. My Master’s thesis titled: “Text Summarization with Graph Neural Networks,” explored scalable methods for long-text summarization and highlighted the importance of transparent AI models.. My research interests include Large Language Models, Natural Language Processing, Artificial Intelligence (AI), Machine Learning (ML), Social Network Analysis, and Software Engineering.

I am currently looking for PhD positions in Europe in the field of Generative AI, NLP, Software Engineering, and Graphs.

I have actively contributed to the browser-use/web-ui open-source project, implementing key features such as a RAG implementation and functionality for saving and using user settings to enhance the overall experience. I also focused on improving system stability by addressing critical issues, including resolving exceptions and fixing errors like UnboundLocalError.

My contributions extended to backend optimizations, such as adding necessary packages to the Dockerfile, integrating a base URL for ChatOllama to interact with remote servers, and introducing an LLM provider with default model settings to suppress warnings. Additionally, I streamlined the codebase through cleanup efforts and updated documentation, ensuring the project is maintainable and scalable for future development.

My Expertise

• General: GenAI - NLP - AI - ML - GNNs - Data Science.
• Languages: Python - Go - JS - SQL.
• Frameworks: PyTorch - TensorFlow - Keras - Django - Node.js.
• Databases: MongoDB - MySQL - PostgreSQL.
• Tools: Git - LaTeX - VSCode - PyCharm - Jira - Docker - Jupyter Notebook.

My Journey

From crafting push notification solutions at Najva to designing robust software architectures at Gamelectronics, my journey as a Software Engineer has been marked by impactful contributions. At Najva, I enhanced advertising systems with cutting-edge push notification technologies.

Later, at Gamelectronics, I spearheaded the redesign and optimization of the company’s software architecture, significantly improving documentation and document retrieval efficiency. Each role has been a step toward mastering innovative solutions that deliver real-world results.

What Drives My Curiosity

My research interests lies at the intersection of Graph Neural Networks, Information Retrieval, Explainable AI (XAI), and Generative AI. I am passionate about developing models that bridge human understanding and machine learning, focusing on long text summarization, anomaly detection in complex networks, and generating meaningful data representations.

I aim to explore how representation learning and GenAI can capture high-level semantics in attributed networks, improving explainability and real-world applicability. Additionally, I am intrigued by leveraging large language models and generative systems for cultural heritage preservation and digital twin systems, aspiring to uncover actionable insights from both structured and unstructured data.

Where I Learned

M.Sc. in Information Technology Engineering, University of Tehran, 2020 - 2024

• GPA: 3.61/4.0

  Last Two Semesters: 3.75/4.0

• Thesis: Text Summarization with Graph Neural Networks

B.Sc. in Computer Engineering, University of Tehran, 2015 - 2020

• GPA: 3.0/4.0

  Last Two Years: 3.52/4.0

• Thesis: Implementing OpenStack as an IoT (Internet of Things) Platform