Creating and developing innovative software solutions for clients across a broad range of industries.

Participating in scrums consisting of cross-functional teams, both software and hardware.

Ensuring that features are being delivered efficiently and on time.

Leading greenfield projects, making key technical decisions, defining the tech stack, and architecting both the application and its infrastructure using Python, FastAPI, React.js, and Azure Cloud with Terraform.

Leading the migration of complex data pipelines from GCP to Azure Databricks, establishing a scalable and efficient infrastructure and implementing a deployment process using Terraform.

Collaborating with AI engineers to develop a retraining system based on user input, increasing predictive model accuracy by 45%.

Implementing rigorous unit and integration tests in CI/CD pipelines, reducing production bugs by nearly 90%.

Guiding QA automation engineers in creating a robust testing framework using PyTest and Selenium.

Worked on the development of a multi-tenant SaaS platform that uses Big Data and helps users to make data-driven content decisions.

Fixed system bottlenecks, increasing system performance up to 10x in certain modules.

Improved an existing CI/CD pipeline, resulting in 40% build time improvements.

Implemented Elasticsearch data migrations using the most performant approach offered by the storage.

Developed new project features for mobile games for iOS and Android and improved the existing codebase.

Implemented a highly secure multi-environmental solution for product deployment on an AWS infrastructure using Ansible.

Improved the project monitoring capability by integrating a centralized logging solution using Loggly, AWS CloudWatch, and AWS Lambda services.

Configured, provisioned, and orchestrated VM clusters using configuration management systems like Puppet, Ansible, and a custom Python toolset.

Created a cloud infrastructure using Terraform and ensured its scalability, a high level of security, and availability.

Analyzed server health, SQL/NoSQL database performance issues, and memory leaks using Linux native tools and New Relic RPM.

Developed a RESTful API for an ERP system using OOP best practices with Django REST Framework.

Ensured the use of appropriate design patterns that made the Python code in a Django project more structured and efficient.

Implemented a scalable, secure, and fault-tolerant Docker infrastructure for a client project.

Improved a Django project development cycle that decreased its setup by 20%.

Implemented NLP analysis for financial software.

Worked on the development of web applications back-end components for multiple clients using Python/Django.

Generated PDF, Doc, and CSV report files using Python-docx, xlwt, and PyPDF2.

Implemented image processing features via PIL and developed new features for an NLP project.