I am a Founding Engineer at Awj R&D and an MSc Computer Science student focused on large language models, AI privacy, and applied machine learning.

I design and build LLM-based systems for real-world use, turning research ideas into reliable products.

I work at the intersection of research, engineering, and early-stage product development.

I have experience in startup environments where I build from scratch, validate ideas quickly, and connect research with production systems.

My current interests include time-series forecasting, retrieval and reasoning, and privacy-preserving AI.

Machine Learning and AI

LLMs and Systems

Data and Backend

• Time-series forecasting using foundation models.
• Text-to-Speech systems using multilingual models (something like XTTS).
• AI supply chain security, with a focus on model provenance and dataset integrity.

1. Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China

2. Can You Trust Your Copilot? A Privacy Scorecard for AI Coding Assistants

• LLMs Coding Security Analysis
• A Comparative Analysis between baseline models and foundation models in Building Energy Forecasting
• Fesability of Side-Channel-Attack using CNN Architecture

• LinkedIn
• Google Scholar