About me.

Full-Stack Developer

I've been building with AI since 2019. Back then it was neural networks and NLP, before anyone called it agentic. Now I build production LLM apps, stateful agents, and RAG systems with LangChain, LangGraph, Claude, GPT, and Gemini. Same person who ships the backend logic and the frontend you're looking at right now.

Hemant Kumar Angajala
Full-Stack AI Engineer

Contact

For any sort help / enquiry, shoot a mail and I′ll get back. I swear.

Working Together

I′m usually building something in the agentic AI space. Happy to compare notes or work together if there′s a fit. Resume′s here if you need the formal version. Looking to hire for a project? Get in touch.

Social Links

2019

Hemant Kumar Angajala has been building software professionally since 2020, but his journey into AI started back in 2019 when he got proper training in Machine Learning and Neural Networks at UPX Academy. Since then he's watched the field go from research papers and Kaggle notebooks to something you can actually ship. Agents that hold state. RAG pipelines that don't hallucinate on every third query. Tools people use daily instead of demo once and forget.

2020

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.

The stack

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 real-time AI interactions and streaming responses. He also builds mobile apps with React Native when projects need to reach users on their phones.

Shipping it

Hemant deploys everything on AWS and Azure with Docker, making sure applications are production-ready with proper error handling, monitoring, and cost optimization. He follows Agile and genuinely likes collaborating with teams. Building intelligent systems is always better with good people around you.

How I learn

He picks up new frameworks and tools by actually building something small with them, not just reading the docs. That habit started with his AI/ML training at UPX Academy back in 2019, before most of this was mainstream, and it's stuck. He'd rather break something in a side project than in production.

Let's talk

If you need an LLM wired into an existing product, a custom chatbot, semantic search, or a full-stack app where the AI part is more than a marketing bullet point, that's the work Hemant does. Get in touch and describe what you're building. He'll tell you straight if it's a fit.

Tech stack

Backends are Python and FastAPI, built for AI-integrated applications: RESTful APIs with proper auth and rate limiting, database schemas across PostgreSQL, MongoDB, and vector stores, async handling for LLM calls, caching, and microservices deployed with Docker on AWS/Azure — built for reliability and observability, not just a demo that works once.

Claude AIClaude AI
OpenAI GPTOpenAI GPT
Gemini AIGemini AI
CohereCohere
DeepSeekDeepSeek
KimiKimi
BaiduBaidu
QwenQwen

8 tools

LLMs

Proprietary when it's the right tool, open source when I need control.

LangChainLangChain
LangGraphLangGraph
Hugging FaceHugging Face
RasaRasa
TensorFlowTensorFlow
PyTorchPyTorch
DialogflowDialogflow

7 tools

AI & ML

What I build with most. LLM apps, agents, RAG systems.

PineconePinecone
ChromaChroma
WeaviateWeaviate
QdrantQdrant
pgvectorpgvector

5 tools

Vector Databases

Pinecone, Chroma, Weaviate. Whatever the RAG pipeline needs.

ReactReact
Next.jsNext.js
TypeScriptTypeScript
HTMLHTML
CSSCSS
JavaScriptJavaScript
Tailwind CSSTailwind CSS
React NativeReact Native

8 tools

Frontend

Fast UIs for AI stuff. Streaming responses, no lag.

Claude CodeClaude Code
v0v0
LovableLovable

3 tools

Vibe Coding

Where I actually write code now. Claude Code, every day.

PythonPython
FirebaseFirebase
FastAPIFastAPI

3 tools

Backend

Python, FastAPI. Backbone for every AI service I ship.

GitGit
DockerDocker
PostmanPostman
GraphQLGraphQL
LangfuseLangfuse
StripeStripe
SentrySentry
PostHogPostHog

8 tools

Others

Git, Docker, Postman. The stuff that holds a project together.

PostgreSQLPostgreSQL
MongoDBMongoDB
SQL ServerSQL Server

3 tools

Database

Relational or document, whatever the project needs. No preference.

AWSAWS
AzureAzure

2 tools

Cloud

AWS and Azure. Deployed, monitored, done.

Frequently Asked Questions