10/20/2026 updated
100 % available
Senior AI Full Stack Developer | Devops Engineer | Python, LLM/RAG, LangChain | AWS/GCP, Docker, IaC
Huntingburg, USA
Worldwide
Bachelor of Computer ScienceAbout me
I bridge the gap between advanced AI and scalable infrastructure. As a Senior AI Full Stack & DevOps Engineer, I build production-grade LLM/RAG apps and automate their deployment on AWS/GCP. I turn complex AI concepts into secure, end-to-end products that deliver real value.
Amazon Web ServicesAmazon CloudfrontAmazon Elastic Compute CloudDevOpsDjangoPython (Programming Language)FastAPI
AI & Machine Learning Integration
Expertise in working with LLMs (OpenAI, Claude), RAG pipelines, AI Agents, Prompt Engineering, Vector Search, NLP, and AI Automation. Proven track record of integrating AI/ML models into scalable web architectures and deploying LLM-based features including summarization and semantic search systems.
Full Stack Web Development
Strong proficiency in frontend technologies including React.js, Next.js, Tailwind CSS, Responsive Design, Redux, and Zustand, combined with backend expertise in FastAPI, Node.js, Express.js, RESTful APIs, GraphQL, Microservices, JWT, OAuth2, Authentication and Authorization.
Cloud & DevOps Engineering
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, AWS (EC2, S3, Lambda), GCP, and Vercel. Architected scalable microservices on GCP and AWS using Docker, ECS, and serverless components, and implemented automated deployment workflows using GitHub Actions.
Programming Languages
Proficiency in Python, JavaScript (ES6+), TypeScript, SQL, and Bash for building robust and maintainable applications across the full stack.
Databases & Caching
Experience with PostgreSQL, MySQL, MongoDB, Redis, Firebase, Pinecone, Weaviate, FAISS, and pgvector for managing structured, unstructured, and vector data in high-performance environments.
Frameworks & Libraries
Familiarity with Django, FastAPI, Express.js, LangChain, LlamaIndex, TensorFlow (basic), and PyTorch (basic) for building AI-powered and data-driven applications.
Messaging & Communication
Knowledge of WebSockets, Socket.IO, Kafka, and RabbitMQ for building real-time data streaming and event-driven communication systems.
Testing & Tools
Practical experience with Pytest, Jest, Unit Integration Testing, Git, and GitHub Actions to ensure code quality and reliable automated deployments.
SaaS & Multi-Tenant Architecture
Background in developing multi-tenant SaaS platforms with scalable database design, real-time systems, API integrations, and performance optimization.
Expertise in working with LLMs (OpenAI, Claude), RAG pipelines, AI Agents, Prompt Engineering, Vector Search, NLP, and AI Automation. Proven track record of integrating AI/ML models into scalable web architectures and deploying LLM-based features including summarization and semantic search systems.
Full Stack Web Development
Strong proficiency in frontend technologies including React.js, Next.js, Tailwind CSS, Responsive Design, Redux, and Zustand, combined with backend expertise in FastAPI, Node.js, Express.js, RESTful APIs, GraphQL, Microservices, JWT, OAuth2, Authentication and Authorization.
Cloud & DevOps Engineering
Hands-on experience with Docker, Kubernetes, CI/CD pipelines, AWS (EC2, S3, Lambda), GCP, and Vercel. Architected scalable microservices on GCP and AWS using Docker, ECS, and serverless components, and implemented automated deployment workflows using GitHub Actions.
Programming Languages
Proficiency in Python, JavaScript (ES6+), TypeScript, SQL, and Bash for building robust and maintainable applications across the full stack.
Databases & Caching
Experience with PostgreSQL, MySQL, MongoDB, Redis, Firebase, Pinecone, Weaviate, FAISS, and pgvector for managing structured, unstructured, and vector data in high-performance environments.
Frameworks & Libraries
Familiarity with Django, FastAPI, Express.js, LangChain, LlamaIndex, TensorFlow (basic), and PyTorch (basic) for building AI-powered and data-driven applications.
Messaging & Communication
Knowledge of WebSockets, Socket.IO, Kafka, and RabbitMQ for building real-time data streaming and event-driven communication systems.
Testing & Tools
Practical experience with Pytest, Jest, Unit Integration Testing, Git, and GitHub Actions to ensure code quality and reliable automated deployments.
SaaS & Multi-Tenant Architecture
Background in developing multi-tenant SaaS platforms with scalable database design, real-time systems, API integrations, and performance optimization.
Experience
Professional experience5 - 10 years
Freelancer since2017
Languages
EnglishFluent
Project history
Designed and deployed AI-powered SaaS platforms using FastAPI, Node.js, and Next.js. Led development of LLM-based features including summarization and RAG pipelines. Architected scalable microservices on GCP and AWS using Docker, ECS, and serverless components. Built real-time data streaming and analytics systems for high-traffic applications. Integrated vector databases (Pinecone, pgvector) for semantic search and AI systems.
Developed full-stack web applications integrating AI/ML models into the system. Built RESTful and GraphQL APIs using FastAPI and Node.js for scalable backend services. Implemented authentication systems, role-based access control, and API security. Collaborated with data scientists to deploy machine learning models into environments. Optimized frontend performance using Next.js and modern state management libraries. Improved performance and reduced latency through caching and query optimization.
Built responsive web applications using React, Next.js, and Python-based backends. Developed multi-tenant SaaS architectures with scalable database design. Integrated third-party APIs, payment systems, and cloud services. Implemented CI/CD pipelines using GitHub Actions and Docker for automated deployments.