πŸ–– Alexander Osipenko

πŸ–– Alexander Osipenko

Staff Machine Learning Engineer @ DeliveryHero

About πŸ–– Alexander Osipenko

Alexander Osipenko is a Staff Machine Learning Engineer at Delivery Hero in Berlin, Germany, with extensive experience in machine learning, data science, and computational chemistry.

Current Role at Delivery Hero

Alexander Osipenko is currently serving as a Staff Machine Learning Engineer at Delivery Hero in Berlin, Germany. His work involves leveraging machine learning technologies to optimize various business processes. He utilizes a range of technologies, including Scala, Python, Google Cloud, Big Query, Spark, Airflow, and Jenkins. His responsibilities include working on query expansion, query classification, search ranking, and autocomplete.

Previous Experience at Delivery Hero

Before his current role, Alexander Osipenko worked as a Senior Machine Learning Engineer at Delivery Hero for a year from 2021 to 2022, also based in Berlin, Germany. During this time, he collaborated with his team to develop and implement machine learning solutions to enhance the company's service delivery operations.

Background in Machine Learning and Data Science

Alexander Osipenko has a diverse background in machine learning and data science. He has held various positions, including Machine Learning Expert for both NLP and Cyber Security at EAGLE6, Senior Data Scientist at Meson Capital Partners LLC, and Lead Data Scientist at Cindicator. His work spans several domains, from NLP and cybersecurity to financial data analysis and predictive modeling. He has executed projects involving deep learning frameworks such as Keras, PyTorch, and TensorFlow.

Technical Skills and Tools

Alexander Osipenko is proficient with a wide array of technologies and tools. He has expertise in Kubernetes, Terraform, Airflow, Flask, FastAPI, LLMs, Vector Search, and Lucene. His technical skills are complemented by his experience in Google Cloud, Big Query, Spark, fastText, word2vec, WFST, and Jenkins. He also has experience in preventive maintenance and real-time anomaly detection in the energy sector.

Educational Background

Alexander Osipenko studied Computational Chemistry and Biochemistry at Petroleum Jobs, where he earned his Bachelor's degree over a period of four years from 2009 to 2013. His educational background has equipped him with foundational knowledge in computational sciences, which he has applied throughout his career in machine learning and data science.

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