Profile
- AI and ML researcher and software engineer with a MSc in Artificial Intelligence and Adaptive Systems from University of Sussex.
- Developed WiFi Warden, an Android app with over 10 million downloads globally.
- Skilled in Android development using both Java and Kotlin.
- Having experience with transformers, LLMs, and generative models.
- Proficient in Python, TensorFlow, and PyTorch.
Professional Projects
Scenaria.ai In development
2024 - Present
Kotlin Multiplatform Application
- Developing an AI role-play language learning app using Gemini 1.5 Flash API.
- Leveraging Kotlin Multiplatform for efficient cross-platform development.
- Focusing on scalability and performance optimization to support a diverse and global user base.
WiFi Warden
2017 - Present
Android Application
- Gained more than 10 million downloads on the Play Store.
- Utilized Java and Kotlin for robust, production-ready code.
Rock Paper Scissors with AI
2019 - 2020
Android Game
- Created an innovative mobile game integrating AI and machine learning technologies.
- Implemented TensorFlow Lite for on-device machine learning capabilities.
- Featured by XDA-Developers for innovative AI integration in gaming.
Education
University of Sussex, Brighton, UK
MSc, Artificial Intelligence and Adaptive Systems (Distinction)
09/2022 – 09/2023
- Achieved distinction in key areas such as Algorithmic Data Science, Mathematics and Computational Method, Machine Learning.
- Thesis focuses on differentiating human-authored and machine-generated texts using advanced ML and NLP.
Azad University, Tehran, IR
BSc, Industrial Engineering (First-Class Honors)
10/2017 – 09/2021
- Thesis on predicting backorders in the supply chain via ML earned the highest grade of 20/20.
- Specialized in courses like Data Analytics, Management Information Systems.
Highlighted Projects
Detecting Machine Generated Text
Machine Learning
NLP
Python
Research revealing key disparities between human and AI text generation, successfully utilizing classifiers for distinction.
Watermarking on BART Model
BART
CNN Dataset
Deep Learning
Exploration of watermarking algorithms for Conditional Text Generation using BART model and CNN dataset.
StockGPT
GPT-4
Telegram API
Python
Leverages GPT-4 to extract insights from news and disseminate through a dedicated Telegram channel.
Automated Design of Autoencoders
Genetic Algorithms
Deep Learning
Python
Novel methodology for optimizing symmetric autoencoder architectures using genetic algorithms.
Publications
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models Published
August 2024
Comparing Hand-Crafted and Deep Learning Approaches for Detecting AI-Generated Text: Performance, Generalization, and Linguistic Insights Submitted
Under Review