Mostafa E.

I am Mostafa Elbasiony, a Machine Learning Engineer with over four years of professional experience in machine learning and software development. I have collaborated with several companies on diverse projects, taking on responsibilities in planning, development, and delivery. Top Projects and Expertise 1. Computer Vision - Avatar Creator (Image Completion): Developed algorithms for realistic avatar creation using image inpainting techniques. - Image and Video Super-Resolution: Enhanced low-resolution images and videos with advanced super-resolution models. - Lip Sync (Deepfakes): Created models for accurate lip synchronization in videos. - Image Captioning and Keyword Extraction: Built tools to generate image captions and extract keywords for SEO optimization. - Text-to-Image Generation: Implemented models that generate images based on textual descriptions. 2. Natural Language Processing (NLP) and Large Language Models (LLMs) - Technical Support Chatbot: Developed a chatbot capable of handling complex customer inquiries efficiently. - Blog Writing Assistance: Created tools to assist in content creation and improve writing efficiency. - Plagiarism Checker: Implemented systems to detect content duplication across large datasets. - Summarizer: Designed algorithms to condense lengthy documents while retaining key information. - Experience with LLMs: Worked extensively with GPT-4, Claude, Mistral, and Llama 3.2, focusing on prompt engineering, fine-tuning, and deployment. - Retrieval-Augmented Generation (RAG) Systems: Developed RAG systems integrating LLMs with vector databases for enhanced information retrieval and conversational AI. 3. Tabular Data Analysis - Startup Survivability Prediction: Built models to assess the success probability of early-stage startups. - Sports Odds Modeling: Developed algorithms to predict sports outcomes and betting odds. - Student Performance Analysis: Analyzed educational data to predict and improve student performance. 4. Speech Synthesis and Recognition - Text-to-Speech (TTS) and Speech-to-Text (STT): Developed systems for natural speech synthesis and accurate speech recognition. - Noise Removal: Created algorithms to enhance audio clarity by eliminating background noise. - Voice Cloning: Built applications for voice replication with minimal data requirements. - Song Recognition: Developed systems capable of identifying songs from short audio clips. Professional Skills - Programming Languages: - C++ - Python - Shell scripting - Databases: - SQL - NoSQL - Vector Databases (e.g., FAISS, Milvus) - Software Development: - Design Patterns - Data Structures - Object-Oriented Programming (OOP) - Machine Learning Frameworks and Libraries: - PyTorch - TensorFlow - Scikit-Learn - Pandas - Matplotlib - OpenCV - Librosa - SpaCy - SciPy - Transformers - Hugging Face Libraries - Experience with LLM Fine-Tuning and Deployment - Deployment and Delivery: - Docker - Kubernetes - Flask - FastAPI - CI/CD Pipelines Cloud Services Experience - Amazon Web Services (AWS): - EC2, S3, Lambda, SQS, ECR, ECS, Fargate, Transcribe, Rekognition, Forecast, etc. - Microsoft Azure: - AutoML - Cognitive Services - Google Cloud Platform (GCP): - Machine Learning APIs I am passionate about leveraging machine learning and the latest advancements in large language models to create impactful solutions. My experience with cutting-edge technologies like GPT-4, Claude, Mistral, Llama 3.2, RAG systems, and vector databases enables me to tackle complex challenges and deliver innovative results. Please feel free to reach out if you'd like to collaborate or discuss a project.