Welcome to my portfolio. My name is Saman Pordanesh, but you can call me Sina. Software Engineer and a fan of technology, is any shape. Here is an extension of my resume where you can explore my activities in more detail. Feel free to browse through my blogs to discover additional aspects of my work and interests.
Developed a BERT-based NLP model using modern GenAI, Fine-Tuning & MLOps practices, integrating advanced data handling, evaluation, and scalable deployment techniques to enhance performance and reproducibility.
A VSCode extension that enhances code reviews using GenAI. Integrates local and remote LLMs, focusing on user privacy and operational efficiency, transforming software development practices.
"Exploring the Capabilities of Large Language Models in Binary Reverse Engineering." Here, we delve into the fascinating world of applying advanced AI models, particularly GPT-4, to the nuanced field of reverse engineering.
In this project, we predict Falcon 9 first stage landing success to estimate launch costs. SpaceX's reusable first stages reduce costs to $62 million versus $165 million from competitors. Accurate predictions aid competitive bidding against SpaceX.
This project utilizes data science and machine learning techniques to analyze and predict Netflix viewership and IMDb ratings. The primary dataset, released by Netflix, contains around 18,000 movie titles with their viewing hours, enriched with additional data from the OMDB API.
This project uses machine learning and PySpark to predict flight arrival delays from a 2007 U.S. flight dataset, exploring models like Random Forest and Linear Regression to enhance airline efficiency and passenger experience.
