I am an AI Engineer who helps companies convert large language models into actual, production-ready products. Moving beyond plain chatbots, I build full-fledged AI systems that think, act, and integrate with your stack. I design and implement LLM-powered agents using Python, LangChain, LangGraph for RAG, tool calling, multi-step workflows, and orchestration; connecting these agents to real data with vector databases and traditional stores like PostgreSQL and MongoDB. In addition, I construct the backend infrastructure around these agents using FastAPI, exposing clean REST APIs, secure authentication, and webhooks so that AI features plug directly into your web applications, dashboards, or internal tools, and I containerize everything with Docker and deploy on AWS EC2, Vercel, Railway for scalable, cloud-native operation. I also create data and automation pipelines-web scraping with Scrapy, Playwright, Selenium, data processing with Pandas/NumPy, and AI evaluation interfaces with Streamlit or Gradio so your models keep up with continuous feeding, monitoring, and improvement. My focus is truly end-to-end: from integrating OpenAI, Google GenAI, and Hugging Face models to building surrounding services, logging, monitoring, and CI/CD-Git, GitHub, GitHub Actions-that keep everything reliable in production. Simply said, I help you design, build, and ship AI systems which are robust, scalable, and tightly integrated with your business.