Oleksandr – Python, React, Django

It's a tool suite for managing employees and projects, planning environmental research events, ensuring compliance with government protocols, and visualizing findings on Geographic Information System (GIS) maps.

• Planned project development and timelines;
• Designed technical solutions;
• Developed, tested, and delivered features;
• Built scalable architecture;
• Configured and maintained cloud infrastructure and CI/CD pipelines;
• Led a development team to ensure project success;
• Conducted code reviews to maintain code quality and standards.

It's a Candidate-Centric Hiring Platform that streamlines the hiring process, allowing companies to search for and contact candidates while protecting their privacy. Key features include profile matching, secure messaging, and advanced search algorithms for efficient recruitment.

• Designed architecture of the platform;
• Developed, tested, and delivered software features;
• Set up and managed infrastructure and CI/CD pipelines;
• Collaborated with stakeholders to prioritize impactful features, reducing budget waste.

It's a platform that automates and optimizes searching, booking, and managing medical interventions, streamlining patient-provider matching, scheduling, and task management.

• Closely collaborated with PO to discuss requirements and align on a timeline;
• Designed the architecture of the system;
• Built, tested, and implemented software features;
• Created an integration with an existing CRM;
• Built and maintained infrastructure while overseeing CI/CD pipelines;
• Performed code reviews to ensure quality and adherence to standards.

It's a personalized e-commerce platform with essential features, including a data pipeline, data warehouse, recommendation module, and statistics/reporting module, ensuring an effective and convenient shopping experience.

• Built a scalable serverless ETL process to extract data from different data sources;
• Designed and implemented a reporting module using D3.js, enabling real-time data visualization and analytics for end users;
• Closely collaborated with data scientists to build ML models as part of the recommendation module;
• Configured and maintained infrastructure and CI/CD pipelines;
• Liaised with stakeholders to determine the direction of product development and timelines.