About Me.

Hemant Kumar Angajala has been building software professionally since 2020, but his journey into AI started way back in 2019 when he got proper training in Machine Learning and Neural Networks at UPX Academy. Since then, he's fallen deep into the world of Large Language Models, and honestly, it's been an incredible ride watching this space evolve.

These days, Hemant spends most of his time integrating LLMs into real applications. He works with Claude and GPT APIs, builds stateful AI agents using LangChain and LangGraph, and creates conversational interfaces with Rasa and Dialogflow. When he needs to track and debug LLM applications, he turns to Langfuse. For vector search and RAG systems, he's worked with Pinecone, Chroma, and Weaviate. And when projects need custom ML models, he dives into TensorFlow and PyTorch.

On the full-stack side, Hemant is all about Python and FastAPI for backends—it's perfect for integrating AI services. For frontends, he builds with React, Next.js, and TypeScript, focusing on creating smooth experiences for real-time AI interactions and streaming responses. He also builds mobile apps with React Native when projects need to reach users on their phones.

Hemant deploys everything on AWS and Azure with Docker, making sure applications are production-ready with proper error handling, monitoring, and cost optimization. Following Agile methodologies and collaborating with teams is something he genuinely enjoys—building intelligent systems is always better when you're working with great people.

If you're looking to add AI capabilities to your project or build something new from scratch, Hemant would love to chat. Whether it's integrating LLMs, building custom chatbots, implementing semantic search, or creating full-stack applications that actually make use of AI in meaningful ways—he's here to help turn those ideas into reality.

Tech Stack

Backend:

AI & ML:

Frontend:

Cloud:

Database:

Others: