Roman Y.

Automatically collected, cleaned, and transformed public financial information into structured datasets for AI-driven financial insights. Key Responsibilities: Designed FastAPI microservices architecture and database schemas for scalability Configured CI/CD pipelines with GitHub Actions for GKE deployment Implemented Keycloak authentication for centralized SSO Managed MongoDB document stores for financial metadata Built Stripe payment processing for subscriptions Used Redis for caching and task queues Developed Python data processing scripts for AI datasets Optimized Google Cloud SQL PostgreSQL performance Created OAuth2/JWT authentication for mobile clients Configured Google Cloud Storage for datasets Monitored performance with GCP tools Wrote unit/integration tests and conducted code reviews Environment: Python, FastAPI, SQLAlchemy, Stripe, Keycloak, GCP, PostgreSQL, Redis, MongoDB, Docker, Kubernetes, GitHub Actions

Public-facing website enabling property exploration, detailed listings, and rental process initiation. Key Responsibilities: Designed FastAPI REST APIs integrated with AWS API Gateway for secure access Optimized PostgreSQL schemas and queries for transactional real estate data Built Scrapy/BeautifulSoup web scraping pipelines for property data ingestion Implemented Playwright for JavaScript site rendering and E2E testing Developed Spark/Pandas data workflows for pricing model datasets Managed Hudson CRM for user tracking and interactions Integrated Keycloak tokens with API Gateway for access control Automated async tasks with Redis queues and AWS Lambda triggers Deployed CI/CD pipelines (GitHub Actions/Docker/Terraform/Helm) to AWS EKS Implemented AWS S3 secure file storage for user content Environment: Python, FastAPI, Scrapy, Playwright, Spark, Pandas, AWS (EKS/API Gateway/S3/RDS), PostgreSQL, Redis, Keycloak, Docker, Kubernetes, Terraform

Role-based document editing, discussion, and approval system with real-time collaboration for publishing teams. Key Responsibilities: Developed scalable Django REST Framework APIs with comprehensive documentation Troubleshot JWT/OAuth authentication flows and resolved token validation issues Optimized MySQL schemas, queries, and indexes for editorial data consistency Configured AWS S3 for secure static/media file storage with Django permissions Built document management with granular access control Implemented Redis Pub/Sub for real-time notifications and alerts Provisioned infrastructure with Terraform (IaC) across environments Automated CI/CD pipelines using Jenkins for builds/tests/deployments Deployed Kubernetes EKS with HPA, rolling updates, and resource optimization Set up CloudWatch logging, monitoring, and alerting for proactive issue resolution Environment: Python/Django REST - MySQL - Redis - AWS (EKS/RDS/S3/CloudWatch) - Kubernetes/Helm - Terraform - Jenkins