I am an AI Engineer with 2.5+ years of software engineering experience, specializing in building production-ready AI and Generative AI applications. I help startups, businesses, and individuals transform AI ideas into practical, scalable solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, and cloud technologies.

I can develop custom AI applications using OpenAI GPT models and Google Gemini for intelligent question answering, content generation, summarization, document analysis, conversational assistants, and business automation. I also have experience integrating LLMs with existing applications, APIs, databases, and enterprise workflows.

I specialize in building RAG-based applications that allow AI systems to work with private and business-specific data. This includes document processing, data ingestion, text chunking, embeddings, semantic search, vector databases, context retrieval, and grounded LLM responses. I can build AI assistants that work with PDFs, documents, knowledge bases, and other organizational data while reducing irrelevant or hallucinated responses.

I can also design and develop AI agents and agentic workflows capable of performing multi-step tasks, using external tools, calling APIs, retrieving information, and automating business processes. I have experience working with technologies and frameworks such as LangChain, LlamaIndex, Microsoft AutoGen, Semantic Kernel, Hugging Face Transformers, and vector databases such as Pinecone, Chroma, and Weaviate.

Beyond the AI layer, I can build complete full-stack AI applications. My development experience includes React.js, Next.js, TypeScript, JavaScript, Python, Node.js, Java, Spring Boot, REST APIs, PostgreSQL, and DynamoDB. This allows me to develop both the AI backend and user-facing application rather than relying on separate developers for different parts of the product.

I can help businesses integrate AI into practical use cases such as customer-support assistants, internal knowledge assistants, document processing, sales and pricing forecasting, lead qualification, data analysis, workflow automation, intelligent search, and enterprise productivity tools. I can also integrate AI capabilities into existing web applications and business systems.

I provide AI evaluation and optimization services, including prompt optimization, LLM response evaluation, golden dataset creation, LLM-as-a-Judge evaluation, RAG evaluation, hallucination analysis, accuracy testing, and runtime monitoring. The goal is to make AI applications more reliable, consistent, and suitable for production environments.

I also have experience with cloud deployment and production infrastructure, including AWS services such as Lambda, API Gateway, DynamoDB, CloudWatch, IAM, EventBridge, and CloudFormation, along with GCP, Docker, Git, and CI/CD workflows. I can take an AI solution from initial architecture and development through testing, deployment, and production integration.

Whether you need a custom AI chatbot, RAG application, AI agent, LLM integration, AI-powered web application, business automation solution, or a complete Generative AI product, I can help take the project from idea to a working production-ready solution.