ML-Programierer
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Mehrjähriger IT-Programierer mit Berufsausbildung
Machine Learning Intern — AI Startup Lab (Remote)
01/2024 – 06/2024
Developed and optimized ML models for text analysis (NLP).
Implemented data preprocessing pipelines (Python, Pandas, Scikit-learn).
Worked with LLMs (Hugging Face, OpenAI API) — fine-tuning and integration into a web app.
Reduced model inference time by 20% through code optimization and GPU usage.
Collaborated in Agile teams, using GitHub, Docker, and CI/CD tools.
Freelance ML Projects (Self-initiated)
2022 – 2023
Built a movie recommendation system using collaborative filtering.
Implemented a CNN (PyTorch) for handwritten digit recognition (MNIST).
Developed a Telegram bot with sentiment analysis powered by ML.
Published articles and gave presentations on AI/ML for student communities.
Bachelor in Computer Science (Wirtschaftsinformatik) — [University / Studienkolleg Name]
2023 – Present
Relevant coursework & certifications:
Machine Learning (Andrew Ng, Coursera)
Deep Learning Specialization (DeepLearning.AI)
Data Science with Python (freeCodeCamp)
Fast.ai Practical Deep Learning for Coders
Data: SQL, Pandas, NumPy, Matplotlib, Data Cleaning
Tools: Docker, Git, REST API, Linux, Jupyter
Soft Skills: Problem-solving, teamwork, presentation skills
