Victor Barbuta

Architected AI cloud-native applications using C#/.NET Core, React, and Angular. Enforced testing strategies (unit, integration, end-to-end). Designed secure, scalable cloud infrastructure on AWS and Azure. Implemented CI/CD pipelines and DevOps practices to improve deployment frequency. Integrated generative AI and LLM-based solutions to enhance applications. Applied ML models for classification, recommendation, and workflow automation. Built responsive UIs aligned with Figma designs. Optimized data storage and search using PostgreSQL and Elasticsearch. Created data pipelines and ML-ready architectures leveraging SQL and DynamoDB. Developed Python-based services supporting data processing. Established ML Ops governance for AI systems.

Built real-time analytics dashboards using Vue.js and Golang for autonomous systems. Migrated legacy Vue 2 components to Vue 3. Configured and tested Node.js/Express and Angular applications in Linux. Implemented custom middleware and authentication layers using Golang’s net/http. Designed and implemented end-to-end CI/CD pipelines with Azure DevOps and GitHub. Built CI/CD pipelines for containerized microservices using Docker and Kubernetes. Integrated OpenAI & Anthropic APIs to enhance internal documentation. Created an AI-powered developer assistant that generates documentation from source. Used GitHub Copilot for real-time pair programming and AI-assisted refactoring to improve code structure. Applied Retrieval-Augmented Generation (RAG) pipelines in vector databases. Built LLM applications using LangChain. Deployed on Azure Functions to handle background processing and integrations.

Spearheaded development of asynchronous Python services using FastAPI. Designed and developed RESTful APIs in Java and integrated them into Kotlin. Integrated third-party APIs (Stripe, PayPal, Twilio) into PHP-based platforms. Modernized API contracts and domain models, replacing inconsistent legacy payloads. Deployed Java/Kotlin applications in CI/CD pipelines. Implemented RBAC in ReactJS. Designed serverless backend components using Python with event-driven triggers. Integrated OpenAI models for dynamic content creation and automated testing. Built a code generation tool using GPT-4 to create boilerplate code from user stories. Used OpenAI for architectural planning, debugging, and rewriting legacy code. Built AI-driven apps leveraging Azure AI Services (Language, Vision, Speech). Serverless APIs with Node.js, AWS Lambda, and Azure Functions. Kafka-based pipelines processing millions of records daily. Designed and implemented a high-performance Rails microservice. Created CLI tools u