Javascript Developer & Python Developer & React Developer

Candidate has experience as a Python engineer, his main focus is building pipelines for event prediction using soft computing and ML techniques for time series processing. He uses various Python libraries and the language itself to create sophisticated solutions for action prediction. He worked as a software engineer for two years. Later as a front-end developer in React.js and other technologies related to modern FE solutions. Among other things, we designed the entire FE architecture, including the webpack. His work included developing web technologies that leverage IBM Watson Cloud services. As a member of the development team, he helped build applications in Europe. He also gained experience in deep learning, data science and Python programming as a member of the AI team. He has worked on many complex projects related to IoT, ML, AI and DevOps and had responsibilities as a software architect on two projects this year. He is currently working as a software architect/engineer and product owner where his team is delivering a desktop property management application. The company stores properties in a geodatabase, enables efficient manipulation of points, and provides methods for exploring relationships between property parameters. They used POSTGIS and GEOJSON to create a user-friendly mapping solution, and when deploying the application on a server as SaaS, they took advantage of technologies around DevOps such as Docker and Traefik. Since they have a large number of parameters to asset, they decided to use GraphQL language. FE is built on React and other open-source libraries. As for his skills, he has experience with React.js, Node.js, TypeScript, GraphQL, Apollo client and MVC frameworks for web development. In data processing, he has experience with Scipy, Pandas, Theano, TensorFlow, and Keras. He also has experience with DevOps technologies such as Docker, Traefic, Swarm, and Kubernetes. As of 2018, he is working on a project involving signal processing. The program is based on genetic evolution and grammars and uses a specific strategy to describe signals and generate the required solutions. Although this project is not commercial, it forms a significant part of his life and he based his thesis and training on it.

Python Engineer Jan 2022 – Present

• Worked on building a pipeline for stock prediction using Python libraries and capabilities.
• Focused on time series processing for stock prediction.

Software Engineer Jan 2020 – Jan 2022

• Worked as a front-end developer using React.js and other related technologies for a complex app.
• Collaborated with senior colleagues to draft the whole FE architecture.
• Contributed to handling a huge and complex app on a browser.

SW Architect/Engineer Jan 2017 – Dec 2020

• Worked on the development of web technologies using cloud services.
• Contributed to various complex projects related to IoT, ML, AI, and devOps.
• Used various technologies and worked as an architect for multiple projects.
• Was part of the AI team and gained experience in deep learning, data science, and Python programming.

SW Architect/Engineer, Product Owner Jun 2019 – Present

• Delivered a desktop app for managing real estates using technologies like POSTGIS, GEOJSON, docker, and traefik.
• Used GraphQL for flexibility and React and other open-source libraries for building the FE.

Solution for Signal Processing 2018 – Present

• Used Python, SciPy, Numpy, TensorFlow, Pandas, and Matplotlib for building a program based on genetic evolution and grammars.
• Worked on developing new ideas around ML and statistics, and used the program for thesis and training purposes.