Oleh – Django, React, Typescript

Cloud-based platform for a managed Backup-as-a-Service (BaaS) and Disaster-Recovery-as-a-Service (DRaaS) provider serving enterprise clients across multiple compliance frameworks (SOC 2, ISO 27001, PCI-DSS, HIPAA). The platform enables customers to manage backup policies, monitor backup jobs in real-time, perform data restores, configure disaster recovery orchestration, and manage subscriptions across multiple product lines (Veeam-powered BaaS/DRaaS, endpoint backup, SaaS backup, and server backup). Has a multi-tenant architecture supporting 20,000+ businesses globally with geo-redundant data centers across North America, Europe and Oceania.

• Designed and developed REST APIs endpoints for fleet management, route planning, order dispatch, driver assignment, vehicle tracking, and customer portal functionality.
• Built responsive web dashboard for dispatchers featuring real-time map view with live vehicle positions, route visualizations, traffic overlays, and delivery status indicators updated via WebSockets.
• Implemented intelligent route optimization engine using Google OR-Tools and custom algorithms to calculate optimal multi-stop routes considering vehicle capacity, time windows, traffic patterns, driver hours, and delivery priorities.
• Developed real-time vehicle tracking system integrating with GPS telematics devices (Geotab, Samsara, Verizon Connect) to capture location data, speed, fuel consumption, idle time, and vehicle diagnostics.
• Created interactive map interfaces using Mapbox GL JS and Leaflet for route planning, geofencing, territory management, and visualizing historical route data with playback capabilities.
• Implemented automated route recalculation and dynamic routing to handle real-time changes including new urgent orders, traffic delays, vehicle breakdowns, and driver availability changes.
• Created order management system with features for shipment creation, customer address validation, delivery time window scheduling, multi-stop consolidation, and load planning optimization.
• Implemented geofencing functionality for automated arrival/departure detection at customer locations, depot check-in/check-out, and restricted zone alerts, triggering notifications to dispatch and drivers.
• Developed analytics dashboards providing insights on fleet utilization, on-time delivery rates, fuel consumption trends, driver performance metrics, route efficiency, and cost per mile calculations.
• Created a dispatch console for operators to manage daily operations, including order assignment, driver scheduling, vehicle allocation, route approval, exception handling, and real-time communication with drivers.
• Implemented predictive ETA calculations using machine learning models analyzing historical route data, traffic patterns, time of day, weather conditions, and driver behavior to provide accurate delivery time estimates.
• Built a maintenance management system with scheduled maintenance tracking and automated service

Comprehensive fleet management and logistics CRM platform enabling transportation companies to manage their entire fleet operations, optimize delivery routes, track vehicles in real-time, and streamline dispatch operations. The system serves logistics companies managing 50-500+ vehicles, providing end-to-end visibility from order intake through delivery completion. Built with geospatial capabilities for route optimization, real-time GPS tracking, driver management, fuel consumption monitoring, maintenance scheduling, and automated customer notifications. The platform integrates with telematics devices, supports multi-depot operations, and provides predictive analytics for delivery time estimates, route efficiency, and operational cost optimization.

• Designed and developed REST APIs endpoints for fleet management, route planning, order dispatch, driver assignment, vehicle tracking, and customer portal functionality.
• Built responsive web dashboard for dispatchers featuring real-time map view with live vehicle positions, route visualizations, traffic overlays, and delivery status indicators updated via WebSockets.
• Implemented intelligent route optimization engine using Google OR-Tools and custom algorithms to calculate optimal multi-stop routes considering vehicle capacity, time windows, traffic patterns, driver hours, and delivery priorities.
• Developed real-time vehicle tracking system integrating with GPS telematics devices (Geotab, Samsara, Verizon Connect) to capture location data, speed, fuel consumption, idle time, and vehicle diagnostics.
• Integrated OpenAI API to generate natural-language delivery exception reports, surfacing route anomalies and delay patterns for dispatchers without requiring manual log review.
• Built an AI-assisted dispatch suggestion engine using LangChain that recommended optimal vehicle-driver assignments based on historical performance, load type, and real-time conditions.
• Created interactive map interfaces using Mapbox GL JS and Leaflet for route planning, geofencing, territory management, and visualizing historical route data with playback capabilities.
• Implemented automated route recalculation and dynamic routing to handle real-time changes including new urgent orders, traffic delays, vehicle breakdowns, and driver availability changes.
• Created order management system with features for shipment creation, customer address validation, delivery time window scheduling, multi-stop consolidation, and load planning optimization.
• Implemented geofencing functionality for automated arrival/departure detection at customer locations, depot check-in/check-out, and restricted zone alerts triggering notifications to dispatch and drivers.
• Developed analytics dashboards providing insights on fleet utilization, on-time delivery rates, fuel consumption trends, driver performance metrics, route efficiency, and cost per mile calculations.
• Created dispatch console for operators to manage daily operations including order assignment, driver scheduling, vehicle allocation, route approval, exception handling, and real-time communication with drivers.
• Implemented predictive ETA calculations using machine learning models analyzing historical route data, traffic patterns, time of day, weather conditions, and driver behavior to provide accurate delivery time estimates.
• Built maintenance management system with scheduled maintenance tracking and automated service.

Software agency, specializing in building high-quality mobile and web applications using modern JavaScript technologies. Experience ranges from consumer apps and IoT-connected products to fintech and Web3 platforms, enabling us to support both startups and established companies in launching and scaling their products.

• Managed relationships with clients, specifically with English-speaking customers, understanding their needs and delivering tailored software solutions.
• Mentored a team of developers of 10 people fostering a collaborative and productive work environment.
• Oversaw the planning, execution, and delivery of software development projects, ensuring they met quality standards and deadlines.
• Actively participated in the development process, contributing to both front-end and back-end solutions.
• Implemented best practices and standards to ensure the delivery of high-quality software products.
• Participated in effective staff supporting and supporting clients’ end-users, enhancing satisfaction and loyalty.

Web development agency specializing in building custom websites and digital platforms using Python, Django, JavaScript, HTML/CSS, and responsive front-end frameworks. The company focuses on creating business-oriented web solutions with integrated CMS, SEO, and ongoing server hosting/administration support. BergSoft+ works across niches such as e-commerce, corporate websites, service portals, and marketing-driven web tools, prioritizing performance, usability, and long-term maintainability.

• Built  server-side  logic  and  database  interactions  to support application functionality.
• Implemented user interfaces with HTML, CSS, and JavaScript, ensuring responsive and user-friendly designs.
• Created and maintained RESTful APIs for seamless communication between front-end and back-end systems.
• Wrote unit and integration tests, and performed debugging to ensure software quality and reliability.
• Managing deployment processes using CI/CD pipelines and tools like Jenkins, Docker, Ansible.