Sina's Blog

Hi there, I'm Sina ๐Ÿ‘‹

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.

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Latest News
10Aug25
Presentation

MSML2025 Poster Presentation

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๐Ÿ‡ฎ๐Ÿ‡น Poster presentation at MSML2025, Naples, Italy. Poster title: "Statistically Accurate Invariant Measure Informed Forecasting of QG Dynamics"

2Aug25
Research

Hilbert Neural Operator Pre-print

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๐Ÿ“„ We are sharing our findings on "Hilbert Neural Operators" as a preprint experimental report. Ongoing research and invite you to join us, if you are interested in the topic.

20Jul25
Event

ICML 2025

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๐Ÿ“ฃ Volunteered and participated in ICML 2025, Vancouver, Canada. Major update on state-of-the-art AI & LLM developements. SciML meetup and find amazing friends and colleagues.

6Jun25
Publications

New Research Paper Accepted

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๐Ÿ“ฃ Our latest paper (My FIRST Paper ๐Ÿฅ‡), 'Hiding in Plain Sight: On the Robustness of AI-generated Code Detection,' has been accepted at DIMVA 2025, Graz, Austria.

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August 2, 2025

Hilbert Neural Operators (HNO)

Introduction to Hilbert Neural Operator, a new approach regarding Neural Operators, Deep Learning architectures, tailored for scientific modelling and computational physics.

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July 26, 2025

ICML 2025 AI4Science Contribution Report

Contribution report on my observations at ICML2025, around the field of AI4Science and summary about some selected posters.

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June 12, 2023

Who Was Rumi?

Who Was Rumi?

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Recent Academic Activities
Certification  Image

Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4

Recent Projects
BERT MLOps

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.

Project Web Design

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.

Project Maps
๐Ÿ”— LLM in RE - GPT3.5 & GPT4 Testing
LLM
Arxiv
Reverse Engineering
AI Research

"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.

Project Fire

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.

Project Fire

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.

Project Fire
๐Ÿ”— Flight Delay Estimation - Big Data Analysis
Data Science
ML
Big Data Analysis
PySpark

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.

Recent Certifications
Recommendations
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Alex Shaharudin
Engineering Director at Network Innovations ยท
July 19, 2024
As a member of one of the teams that I oversaw as part of their capstone projects, Saman stood out as highly intelligent, motivated and capable. He pairs a driven enterpreneurial spirit with an excellent engineering and system architectural thought process.
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Benjamin Tan
Assistant Professor at the University of Calgary ยท
July 3, 2024
Sina (Saman) was my undergraduate thesis student at the University of Calgary and spent roughly 8 months with me learning about what it means to do academic research. He pursued a research project involving the use of LLMs in cybersecurity (for code explanation and code style changes), where he devised and implemented a set of experiments using LLM APIs, high-performance computing infrastructure, and various compilation flows. Sina matured over the course of the project, building both his technical and communication skills. He also demonstrated his tenacity throughout the semesters, balancing his other academic commitments and maintaining his motivation when faced with "unknowns" (as is common in research). I'm happy to support Sina as he pursues the next steps in his career, and I can endorse his technical skills, independence, and ability to solve technical problems.
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Ernest Nikolaychuk
Software Engineer ยท
June 30, 2024
Sina is an exceptional developer. I had the pleasure of working closely with Sina throughout our year-long capstone project, where we developed SigmaPilot, a VSCode extension that allows developers to connect to an LLM of their choosing. His reliability, dedication, and intelligence were consistently evident. Sina took on the crucial task of researching open-source models that could be run on personal machines, demonstrating his deep technical expertise and thorough approach. He tackled this significant portion of the project independently, meticulously documenting his findings and effectively communicating them to the team. His contributions were invaluable, and his ability to handle complex challenges with ease made a significant impact on our project's success. I highly recommend Sina for any development role.
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Resume - July 2024
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