Data Engineer

The candidate is a engeneer focusing on machine learning / deep learning or data science engineer with 3 years of commercial experience in Python. His skillset contains Python, Swift, Javascript, Elixir, OCaml, React, iOS, Phoenix, Docker, ML, Ops, Apache Kafka, Redis, InfluxDB, SQL, NLP, TTS, ASR and Chatbots. Communication in English is not a problem for him. He is able to work on both long-term and short-term projects, but prefers long-term. He is open for both freelancing and standard employment, but prefers freelancing, due to the fact that he is used to it. Actually, he has a notice period of 1 month.

Machine Learning Engineer (01/2020 - present): Designed and built synthetic voice and automatic speech recognition systems based on deep neural networks. Machine Learning Engineer (12/2018 - 01/2020): Designed and built synthetic voice systems and applied anomaly detection algorithms on call center data streams. Developed an AI-based system for guiding live agents through existing CRM. Elixir Developer (08/2018 - 12/2018): Designed and built a job categories classifier using artificial neural networks. Contributed to the development of a job postings API using Elixir and Phoenix. Developed a job listings mobile app using React Native. React / iOS Developer (05/2016 - 05/2018): Contributed to company tooling and codebase. Developed projects for German clients using React, Node.js, iOS, and Swift. Mastered iOS development and contributed to the company's codebase during an internship.