Name Surname + 00 Phone no | example @gmail.com linkedin.com/in/ xxxx | github.com/ xxxx | personalwebsite .com JUNIOR AI ENGINEER MSc Engineering with Management and BSc in Computer Engineering graduate, specializing in machine learning, data science, and AI - driven solutions. Committed to technical excellence, continuous learning, and collaborative innovation in AI. Holds UK Graduate Visa valid until January 2027. PROFESSIONAL AND TECHNICAL SKILLS • Hands - on Experience designing, training, and deploying machine learning models, including tree - based statistical models with scikit - learn and deep learning architectures using Py T orch. • Exposure to building NLP pipelines using large language models ( LLMs ) and Hugging Face Transformers • Familiar with MLOps practices: model deployment, monitoring, CI/CD integration, Docker, Git, Google Cloud, Google Colab, Hugging Face Spaces • Competent in data cleaning, preprocessing, analysis, and visualization (Pandas, NumPy, Matplotlib), applying strong analytical skills for impactful AI solutions. • Solid understanding of software development fundamentals: modularity, version control, scalability. • Experienced in backend/API development using Python, Java, PostgreSQL, and JSON handling. WORK EXPERIENCE Mobile Application Developer (Internship) | Company , City Jun 2022 – Jul 2022 • Developed the login/register interface and backend for a mobile app using Dart, Flutter, and Firebase Systems Engineer (Internship) | Company , City Aug 2021 – Sep 2021 • Configured Nginx and Apache servers on Linux environments for internal projects. EDUCATION Master of Science in Engineering With Management | King’s College London Graduation Year (2024) • Dissertation: Developed SatNet ( Skeletal Attention Network ) , a reinforcement learning architecture leverag ing Graph Neural Networks for continuous articulated robot control tasks Bachelor of Science in Computer Engineering | University Graduation Year (2023) • Final Project: Developed Univhex, a mobile social media application using Dart, Flutter, and Firebase, PROJECTS BNB Horizon Feb 202 5 – Mar 2025 • Fine - tuned IBM's Granite - TimeSeries - TTM - R2 deep learning model for BNB Coin price forecasting, managed data storage with PostgreSQL, and developed Flask - based REST API for frontend integration. Shakespeare - GPT Feb 202 5 • D e ve loped a Nano - GPT architecture and trained it for Shakespeare - like language generation OASIS Alzheimer Classifier Jan 2025 • Built a Convolutional Neural Network from scratch for Alzheimer’s classification using OASIS MRI data, achieving 96% accuracy and balanced F1 - score by addressing class imbalanc e