Position: Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 3

- I developed a logic for a SWIFT payment system using machine learning techniques.  The goal was to confirm or reject a transaction based on the beneficiary name. As a result, more than 80% of payments are processed automatically, without human intervention.

- Trained several machine learning models that were deployed to production. For example, I trained a neural network to classify a payment with an accuracy of 95%.

- Designed, developed, and deployed several successful Python-based microservices from scratch. 

- I worked in a team, developing cloud hosting with complex architecture, adhering to the best software development practices.
English: Advanced/Fluent.

Languages & Skills:
• Machine Learning: Tensorflow/Keras, Scikit-Learn, Pandas, NumPy.
• Back-end: Django/DRF, Flask.
• Databases: PostgreSQL, MongoDB, Redis.

Level of education: Bachelor's degree in Software Engineering.

About: 
I am a Software Engineer from Ukraine. I have over 3.5 years of commercial experience in Python programming and in Machine Learning. My industry experience in Machine learning is working with text datasets. Professionally I trained Neural Networks using TensorFlow & Keras for text classification and NLP tasks. In addition, I have hands-on experience in web development, Docker, and cloud technologies. My primary goal is to continue to develop my skills in the field of  AI, Machine Learning, and Deep Learning.
- Working in a team of experienced ML engineers.
- At least temporarily, I wish to receive compensation in any international payment system (Wise, Binance, etc).