Senior Software Developer / Machine Learning Engineer / / Python

[ENG]

Welcome to my profile! My journey has taken me through diverse projects encompassing core software development, the intricacies of machine learning model creation, lifecycle management, and comprehensive data analysis. My dedication to every phase, from conceptualization to execution, has positioned me at the vanguard of technology, ensuring timely and innovative solutions for clients. I welcome new opportunities and challenges, so please don't hesitate to reach out.

[DE]

Willkommen auf meinem Profil! Meine Reise führte mich durch vielfältige Projekte, von der Grundlage der Softwareentwicklung bis hin zu den Feinheiten der Erstellung von Machine-Learning-Modellen, Lebenszyklusmanagement und umfassender Datenanalyse. Meine Hingabe in jeder Phase, von der Konzeption bis zur Umsetzung, hat mich zu den neusten Technologien geführt und gewährleistet pünktliche und innovative Lösungen für meine Kunden. Ich freue mich über neue Gelegenheiten und Herausforderungen, also zögern Sie bitte nicht, Kontakt aufzunehmen.


Core Competencies:

• Algorithm Implementation: Efficiently implements computationally intensive algorithms for scalability.
• Market Analysis: Specializes in time series and stock market analytics.
• Deep Learning Expertise: Proficient in deep learning and ensuring numerical stability.
• Advanced Data Analytics: Experienced in Bayesian optimization and analyzing high-dimensional, non-linear data.
• Data Visualization: Capable of visualizing, presenting, and documenting complex data and tasks.
• Process Automation: Strong in automating processes and verifying complex algorithms.
• Research Aptitude: Demonstrates effectiveness in research environments.
• Reinforcement Learning: Knowledgeable in reinforcement learning with education from IAS Darmstadt, TU Darmstadt.
• Advanced Modelling: Experienced in multi-armed bandits, model predictive control, and probabilistic modelling.
• Research Trends: Stays current with latest research developments.
• Feature Extraction & Analysis: Proficient in feature extraction, clustering, and classification algorithms.
• Version Control: Competent in using Git and other versioning systems.
• Tool Proficiency: Skilled in various analytical tools and frameworks.

Professional Experience:

• Quantitative Analyst/Machine Learning Scientist, Privately Managed Fund: Utilized machine learning techniques for fund management.
• Developer, Analytics Dashboard: Developed an analytics dashboard using Django, Flask, and MongoDB.
• Database Developer: Designed and developed a relational database (PostgreSQL) with API access via FastAPI. Security standards according to Azure best-practices.
• Machine Learning Engineer: Built a robust stock analytics algorithm for real-time anomaly detection and reporting (PyTorch, Pandas).
• Research Associate: Solved a non-linear optimization task using deep learning architectures for an LED lamp setting optimization project (Tensorflow, Matlab).
• Robotics Data Scientist: Worked extensively with robotics data and implemented classic control and reinforcement learning algorithms.
• Data Scientist, Twitter Sentiment Analysis: Conducted real-time sentiment analysis on Twitter data using spaCy.
• Data Engineer, Multiple Projects: Developed several data pipelines with distributed processing and data provisioning via Rest API access (Google Cloud, FastAPI, Docker, Terraform).
• Time Series Data Specialist: Led numerous projects involving time series data.
• Software Development: Developed several software projects from initial design to operations including CI/CD pipelines, Kubernetes deployment, integrating MLOps production principles and monitoring the live runtime.
   

Tools & Frameworks

• AWS
• Azure
• Docker
• FastAPI
• Flask
• GitHub Actions
• GitLab CI/CD
• Git
• Google Cloud
• JAX
• Jupyter
• Keras
• Kubernetes
• MLFlow
• Numpy
• Pandas
• PostgreSQL
• Pyro
• Python
• PyTorch
• Scikit-learn
• SciPy
• SQL
• Stan
• TensorFlow / TensorFlow Probability
• Terraform