Oleksandr – React, Vue.js, Node.js

Job matching platform that connects job seekers with relevant opportunities by aligning candidate skills and preferences with employer requirements. The system enables users to create profiles, upload or build resumes, and browse personalized job recommendations. Employers can post openings, filter candidates, and manage applications through intuitive dashboards. The platform emphasizes ease of use, efficient matching, and real-time updates to streamline the hiring process for both sides.

• Led development of AI-powered job matching service using AWS Bedrock for semantic profile-job analysis, achieving 85%+ match accuracy through vector embeddings and cosine similarity scoring;
• Implemented durable Temporal workflows for autopilot job scanning with automatic retry logic and fault tolerance, processing 10K+ daily job matches reliably;
• Developed a Chrome extension for real-time job listing analysis, providing instant compatibility scores and AI-generated recommendations directly in the browser;
• Architected microservices infrastructure using FastAPI and Docker, ensuring horizontal scalability and maintaining 99.9% uptime for production services.

A major US insurance platform providing personal and business insurance information, online quotes, and policy management. Key features include multi-step quote flows, customer portals, claims tracking, and secure document handling.

• Reduced page load times by 60% optimizing JavaScript bundles, rendering logic, and network requests;
• Built responsive front-end React components serving 10 000+ daily active users;
• Developed cloud migration pipelines using AWS CDK and Terraform, containerizing legacy applications to EKS microservices with zero-downtime deployment strategies;
• Built a claims document processing pipeline using Amazon Textract for OCR and Node.js for orchestration, reducing claims processing time by 40%;
• Implemented email classification system using Amazon Bedrock, automating categorization of service requests across multiple business units;
• Established comprehensive monitoring using Snowflake for analytics and custom dashboards, enabling data-driven insights on system performance and KPIs.

A podcast discovery and listening platform with personalized recommendations and cross-device sync. Core features include podcast search, playlists, subscriptions, offline listening, and content aggregation from multiple sources.

• Architected podcast aggregation services processing 500K+ RSS feeds using background workers with PubSubHubbub webhooks for real-time content updates;
• Implemented Elasticsearch-powered full-text search enabling episode-level discovery across 20+ million episodes with sub-200ms response times;
• Designed RESTful API with tiered response detail levels optimizing mobile data consumption, achieving 85% Cloudflare cache hit rate and reducing server load.

A digital healthcare platform offering virtual doctor visits and AI symptom analysis. Main features include chat-based consultations, health assessments, prescription management, and mobile-first patient experience.

• Built cross-platform telemedicine mobile application using React Native, serving millions of users with HIPAA-compliant architecture for secure patient data handling;
• Implemented real-time symptom analysis chat interface integrating with ML inference pipeline, enabling seamless handoff workflow for clinical consultations;
• Optimized BigQuery analytics pipelines and implemented efficient data fetching strategies, reducing query costs by 40% and improving app performance metrics.

An Australian healthcare platform for clinics and patients, focused on medical services and bookings. Features include appointment scheduling, patient information management, service catalogs, and role-based dashboards for staff and clients.

• Built and optimized 100+ Vue 2 components in a large production system, reducing page render time by 45% through state, lifecycle, and bundle-size optimizations;
• Developed a medical equipment asset management system tracking 10,000+ devices across 12 hospital sites, enabling real-time monitoring of equipment lifecycle and maintenance schedules;
• Implemented AS3551 compliance tracking with automated preventive maintenance scheduling, reducing equipment downtime by 25% and ensuring regulatory audit readiness;
• Built work order management module with mobile-responsive interface for field technicians, integrating barcode scanning for equipment identification and real-time status updates.

Leading global software engineering and consulting company headquartered in Ukraine and the U.S., specializing in digital transformation, cloud solutions, data analytics, AI/ML, and end-to-end product delivery for enterprise clients across industries such as healthcare, finance, retail, and insurance.

• Worked on full-cycle development of web products for international clients, owning both front-end and back-end parts of the system with a strong focus on server-side architecture;
• Designed and implemented REST APIs, authentication flows, and data models in Node.js, ensuring scalability and stability for production workloads;
• Built modular, reusable UI components and application shells, gradually modernizing legacy pages into SPA-style interfaces;
• Acted as a bridge between front-end and back-end layers, aligning data contracts, performance requirements, and deployment pipelines.