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ML Engineer — Computer Vision, Claude/LLM Agents & Audio AI I build deep learning systems across vision, language, and audio — and ship them to production, not just notebooks. I've trained models from scratch, fine-tuned transformer architectures, and deployed to Core ML on real client engagements (including a 400+ hour model-build contract). 5.0 stars across every reviewed project. Computer Vision Image classification, detection, and feature extraction with CNN and transformer (ViT/AST-family) architectures. My core audio work runs on spectrogram based vision models, so the same deep-learning toolkit — convolutions, attention, transfer learning — carries directly into image and video tasks. Claude / LLM Agents & Automation AI agents, automation workflows, and reasoning assistants built on Claude and OpenAI APIs. RAG pipelines, tool-use/agentic systems, and LLM integrations that connect models to real data and real actions. Audio & Speech AI Instrument/audio classification, feature extraction, and transformer fine-tuning (AST, Wav2Vec2, HuBERT), plus generative audio with AudioCraft/MusicGen. Built multiple audio models end to end — clients describe me as central to their ML work. Deployment & Engineering TensorFlow/PyTorch → Core ML export, FastAPI inference services, and optimized real-time / batch pipelines. I handle the messy export and optimization steps end to end. Top Rated · 100% Job Success · 5.0 across all reviewed jobs. I move fast and build things that actually deploy.

I am an educated data scientist & ML engineer who has worked in academia teaching Algorithms, machine learning and AI. I've been programming in python daily for over 3 years and that's where I do most of my data analysis. I have a lot of experience with machine learning and data visualizations, mainly in python. Working in a diverse set of fields has given me experience with many different types of data and obtaining it from many different sources. Some of the projects I have done are: • Computer Vision • Regression modeling • Machine learning and various statistical models in big data • Computer vision • Predictive Analytics • Natural Language Processing Tech stack: Keras, Python, SQL, TensorFlow, PyTorch, Scikit-learn, Spark, PennyLane

I'm Mostafa, an AI engineer and data analyst with a passion for leveraging technology to solve real-world problems. Here's a bit about what I bring to the table: Strengths and Skills: Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn. Experienced in developing AI models for language translation and speech recognition. Strong analytical and problem-solving abilities. Skilled in data preprocessing, feature engineering, and model evaluation. Highlighted Projects and Accomplishments: Real-time Speech Feedback App: Developed an app using Facebook's XSLR Model for real-time feedback and interactive speech games for children with speech difficulties, achieving high accuracy in Arabic language Automatic Speech Recognition. OCR Tool for Egyptian IDs: Created an OCR tool to extract data from Egyptian IDs, demonstrating my ability to handle complex language data tasks. AI Integration for Chatbots: Built and deployed AI models for chatbots, improving customer interactions and automating responses. With my technical expertise and a friendly, problem-solving approach, I'm here to help you tackle your AI and data challenges.

Graduated from faculty of computer science and information, scientific computing department, Ain-Shams University in 2020. Graduated from Information Technology Institute (ITI) 3-Months Intensive Training of Data Analysis and Visualization Track. Strong experience over 6+ years dealing with databases using SQL, PL/SQL, Postgres SQL, and Analytical SQL through working on MS SQL Server, Oracle, PG Admin, and My SQL. Experience of 2 years dealing with data using Excel, Python, Power BI, and Machine Learning through working on projects to analysis data of Kaggle, and Stocks. Experience over 4+ years developing desktop applications using C# through working on systems of GYMs, and Schools. Strong knowledge in Object-Oriented Programming, Data Structures, and Algorithms. Ability to work under pressure and cooperate with team members. Eager to get a suitable position as a data analyst and participate in new challenges.

Hello, I am an enthusiastic and highly motivated individual with a strong passion for data science, machine learning, and data visualization. My journey is fueled by a deep curiosity to solve complex problems and uncover actionable insights from data. I am eager to bring my skills, dedication, and drive to your projects on Upwork. Core Skills and Expertise: -Data Analysis & Manipulation: Proficient in Python, SQL, and a range of analytical libraries to clean, analyze, and interpret data effectively. -Machine Learning & Deep Learning: Strong interest and growing expertise in building predictive models, exploring cutting-edge neural networks, and leveraging Large Language Models (LLMs) for innovative solutions. -Data Visualization: Skilled in creating impactful visualizations using Power BI, Matplotlib, and Seaborn, turning raw data into meaningful and actionable visuals. also I am eager to learn and explore what is new let's connect and discuss how can I help you as will as software developer with a focus on building efficient, scalable, and user-friendly applications. I specialize in full-stack development, with expertise in JavaScript, TypeScript, React, and Node.js, alongside a strong understanding of backend technologies like NestJS and MySQL. I have experience in creating dynamic, responsive web applications using modern frameworks such as Next.js and Prisma, while ensuring clean, maintainable, and efficient code. Throughout my career, I have worked on a variety of projects, from developing RESTful APIs and integrating with databases to building interactive front-end interfaces. My attention to detail and problem-solving skills drive me to constantly improve my craft, and I enjoy learning about new tools and technologies to stay ahead in this fast-paced field. Whether it's implementing state management with tools like Zustand or optimizing user interfaces with Tailwind CSS and NextUI, I aim to create seamless and intuitive user experiences. I'm always eager to collaborate with others and take on new challenges that allow me to grow as a developer and contribute meaningfully to the tech community.

I help research teams and biotech companies turn complex clinical and genomic data into clear, publication-ready insights. With a unique background as a former dentist, I don't just see the numbers; I understand the clinical context behind them. I specialize in designing and executing hypothesis-driven research projects. My work begins with processed genomic or clinical data (e.g., from TCGA, GEO, or your own lab), from which I generate deep biological insights using advanced statistical and machine learning models in R. My Core Services: Bioinformatics & Genomics: Downstream analysis of large-scale datasets (TCGA, GEO), gene expression & RNA-Seq analysis, and biomarker discovery. Clinical Biostatistics: Survival analysis (Kaplan-Meier, Cox Models), clinical trial data analysis, longitudinal studies, and analysis of real-world data (EHR). Machine Learning: Building and validating predictive models in R (tidymodels, caret) to stratify patients or predict clinical outcomes. Data Visualization & Reporting: Creating clear, publication-quality figures (ggplot2) and interactive dashboards (Power BI) that tell a compelling story. If you need a research partner who can handle the entire high-level data analysis portion of your project—from hypothesis to publication—let's connect.