Boris Stamenov

• Developed the Bybit platform chatbot using GPT-4 API with LangChain for RAG workflows and FAISS for context retrieval, supporting multiple use cases across the platform. • Built backend RESTful APIs in Node.js and FastAPI for chatbot services and virtual card microservices, handling over 10k daily requests with <200ms latency. • Designed microservices for account workflows, notification delivery, and virtual card processing, ensuring modular and scalable architecture. • Implemented PostgreSQL and Redis caching for session management and fast data retrieval. • Created prompt templates and chain logic to improve AI response quality for diverse platform queries. • Developed frontend components with React and Tailwind CSS to integrate the chatbot seamlessly into the platform. • Integrated chatbot services with platform REST APIs for consistent data access and orchestration. • Optimized retrieval pipelines with LangGraph and FAISS, reducing response times by 30% and improving user experience. • Built microservices for asynchronous tasks and alerts using Node.js and Kafka. • Automated CI/CD pipelines with Docker and GitLab CI/CD for reliable deployment of backend and AI services. • Monitored system performance with Prometheus and Grafana to ensure high availability and responsiveness under load. • Participated in Agile sprints, code reviews, and remote collaboration sessions to maintain high-quality feature delivery.

• Developed backend RESTful APIs for user registration, Hackerrank integration, and project workflows, handling 5k+ daily requests efficiently. • Designed project architecture from scratch using Node.js, FastAPI, and PostgreSQL to support global platform scalability. • Implemented an AI-assisted recommendation engine using Python NLP libraries and rule-based logic for personalized job matching. • Optimized queries and caching with MongoDB and Redis, improving response times by 20%. • Built frontend dashboards and assessment interfaces with React and Vue.js for smooth user experience. • Developed reusable UI components in Angular for project analytics and workflows. • Configured Docker-based CI/CD pipelines to automate testing and deployment across backend and frontend services. • Collaborated in Agile sprints with distributed team members, maintaining clear communication and timely delivery. • Conducted code reviews and design discussions to ensure maintainable and efficient system architecture.

• Built backend RESTful APIs for credit score retrieval, financial alerts, and account management using Flask and Node.js. • Implemented data pipelines and caching with PostgreSQL, MongoDB, and Redis to support high-volume credit queries. • Optimized API endpoints and background jobs, reducing processing latency by 25% for credit calculation workflows. • Developed frontend dashboards with React, Vue.js, and Angular for tracking credit scores, financial alerts, and budget planning. • Created interactive components for financial insights, visualizations, and notifications. • Built financial calculators and reporting features accessible from web and mobile interfaces. • Managed cloud infrastructure on AWS and Azure, leveraging Redis for caching and scalable storage.

• Developed backend RESTful APIs for the platform chatbot to handle user queries and interactions efficiently. • Designed secure data pipelines with Node.js, Express.js, and PostgreSQL to manage user and transaction data. • Optimized chatbot API endpoints to reduce response time by 25% during peak usage. • Built frontend UI components with React and Vue.js for real-time chatbot interaction and notifications. • Developed interactive dashboards to track user engagement and message analytics. • Implemented dynamic frontend elements to support platform tools and alerts.