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.
- Experience with transformers, LLMs, and generative models.
- Proficient in Python, TensorFlow, and PyTorch for ML/AI development.
Professional Projects
Scenaria.ai In development
AI-powered Language Learning App (Kotlin Multiplatform)
- Developing an AI role-play application focused on language learning.
- Utilizing Kotlin Multiplatform for efficient cross-platform development (Android/iOS/Web).
- Architecting for scalability and performance to support a global user base.
WiFi Warden
Network Toolkit & Analyzer (Android Application)
- Developed and maintained an Android application achieving over 10 million downloads on the Play Store.
- Implemented features using Java and Kotlin, focusing on robust, production-ready code.
- Managed app updates, user feedback, and monetization strategies.
Rock Paper Scissors with AI
AI-Integrated Mobile Game (Android)
- Created an innovative mobile game integrating AI to predict player moves.
- Implemented TensorFlow Lite for on-device machine learning capabilities.
- Featured by XDA-Developers for its novel use of AI in a mobile game context.
Education
University of Sussex, Brighton, UK
MSc, Artificial Intelligence and Adaptive Systems (Distinction)
September 2022 – September 2023
- Achieved Distinction, excelling in modules like Algorithmic Data Science, Mathematics & Computational Methods, and Machine Learning.
- MSc Thesis: Focused on differentiating human-authored text from machine-generated text using advanced ML and NLP techniques.
Azad University, Tehran, IR
BSc, Industrial Engineering (First-Class Honors)
October 2017 – September 2021
- Graduated with First-Class Honors.
- BSc Thesis: Developed machine learning models for predicting backorders in supply chains, achieving the highest possible grade (20/20).
- Specialized coursework included Data Analytics and Management Information Systems.
Highlighted Research & Projects
Detecting Machine Generated Text
Research identifying linguistic disparities between human and AI text, successfully employing classifiers for detection.
Watermarking on BART Model
Analysis of watermarking algorithms for Conditional Text Generation applied to the BART model using the CNN/Daily Mail dataset.
StockGPT
A system leveraging GPT-4 to extract stock market insights from news articles and disseminate summaries via a Telegram channel.
Automated Design of Autoencoders
Developed a methodology using genetic algorithms to automatically optimize symmetric autoencoder architectures.
Publications
Automated Classification of Dry Bean Varieties Using XGBoost and SVM Models Published
Comparing Hand-Crafted and Deep Learning Approaches for Detecting AI-Generated Text Published
Exploring performance, generalization, and linguistic insights in AI text detection.
View PublicationCertifications
- Google Data Analytics Professional Certificate (Coursera)
- Time Series Analysis and Forecasting Certificate (Part AI Research Center)
- Reinforcement Learning Certificate (Part AI Research Center)