ADEM
Computer Engineering Student | AI Developer
Summary
Passionate about building AI systems that enhance human capabilities. Focused on Deep Learning, RAG systems, and LLM applications. My approach: I'm not just a "learner" — I'm a solver who dives deep into concepts until I reach the core understanding. Long-term interest in the intersection of Quantum Computing and Neuroscience with AI.
Education
Computer Engineering
2nd Year Student • Expected Graduation: 2027
Technical Skills
Languages
Python, JavaScript, HTML/CSS, C++, SQL
AI/ML
Deep Learning, RAG, LLM, Embeddings, Fine-tuning, Prompt Engineering
Tools
Git, VS Code, Jupyter, Google Colab
Databases
SQL, Vector Databases (FAISS, ChromaDB)
Key Projects
RAG Document System
Built a retrieval-augmented generation system for intelligent document Q&A using FAISS, chunking strategies, and LLM integration.
View on GitHub →WhisperAI Transcription Tool
Developed a speech recognition application using OpenAI's Whisper model for audio transcription and processing.
View on GitHub →MathAI Educational Assistant
Created an AI-powered math tutoring system that helps students solve problems step-by-step using LLM technology.
View on GitHub →English Tutor Bot
Built a conversational chatbot for language learning with NLP capabilities for grammar correction and vocabulary building.
View on GitHub →Embedding Search Project
Implemented semantic search using Word2Vec embeddings and cosine similarity for efficient text retrieval.
View on GitHub →Languages
Interests
Quantum Computing • Neuroscience • Human-AI Collaboration • Open Source • Continuous Learning