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Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

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BEKtesfish/README.md

Full-Stack Developer | Machine Learning Enthusiast | Cloud & DevOps Learner

  • 🎓 Computer Science B.Sc. student at Kristianstad University — graduating June 2026

  • 🔧 Skilled in Python, TypeScript, JavaScript, Java, Kotlin, React, Node.js, NestJS, FastAPI, Django

  • 🗄️ Experienced with PostgreSQL, MySQL, MongoDB

  • 🤖 Strong interest in Machine Learning, RAG systems, LLMs, Embeddings, Deep Learning

  • ☁️ Cloud & DevOps: Docker, Terraform, Azure, GCP, Git, Jira, ClickUp

💼 Internship Experience:

  • Full-Stack Developer Intern @ Gaddr

  • Full-Stack Developer Intern @ Greenology Engineering

🧪 Built projects in:

  • Ai Workspace ( Note taking, isolated workspaces, Upload and manage PDF documents, Interact with their data using an AI assistant )

  • Recommendation Systems (Semantic Search, Embeddings, LLM-based RAG)

  • Computer Vision (TensorFlow, CNNs, TensorFlow Serving)

  • Deep Learning Architectures (ResNet101)

💡 Always learning, building, and exploring new technologies

💬 Open to collaboration on ML, full-stack development, and cloud projects


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  1. ai_knowladge_workspace ai_knowladge_workspace Public

    A full-stack AI-powered notes application built with React and NestJS. Features include creating and editing notes, file uploads, AI summaries, semantic search, voice transcription, and real-time c…

    TypeScript

  2. Movie_recommendation Movie_recommendation Public

    Content based movie recommender system using Django as the backend and Html an Css as the frontend

    HTML 1

  3. CNN-Image-Classification-Web-Application CNN-Image-Classification-Web-Application Public

    This web application classifies potato leaf health by detecting Potato Early Blight, Potato Late Blight, and healthy leaves based on uploaded images. It uses React for the frontend, FastAPI for the…

    Jupyter Notebook