Atharva Naik — Full Stack Developer
Building multi-agent AI systems · Shipping production-ready LLM apps · Designing scalable FastAPI backends · Crafting full stack AI experiences
I build AI-powered applications — from multi-agent LLM pipelines to production-ready full stack systems. My core stack bridges Python, FastAPI, LangChain, Next.js, and Cloud to ship scalable software that solves real problems.

Core Technologies
AI & LLM Engineering
Backend Development
Frontend Development
Infrastructure & DevOps
AI Engineering Insights
System Design: How ChatGPT Works Under the Hood
A production-grade architecture guide explaining how ChatGPT-like AI systems work end-to-end — from frontend streaming to GPU inference clusters. Built for developers and system design learners.
February 25, 202615 min readBuilding an Autonomous AI News Aggregator with LangGraph, FastAPI, and Solana
A deep technical dive into how we architected a multi-agent news analysis platform. Learn how we orchestrate autonomous experts with LangGraph, stream real-time insights via SSE, and handle crypto subscriptions with Solana.
February 18, 20266 min read
AI Engineering Projects

A next-generation AI news platform using multiple agents to aggregate, classify, summarize, and analyze news in real-time. Features a Deep Analysis pipeline (Collector → Classifier → Summarizer → Bias Analyzer) using LangGraph, streaming results via SSE. Includes a daily briefing system, RAG-based AI Chat Assistant, and premium subscriptions with Solana-based payments.
Next.jsFastAPILangGraphGenAISSEMongoDBJWTSolana
A dynamic web platform for creating personalized AI companions. Users define instructions and conversations to shape long-term behavior. Built with a conversational AI system featuring persistent memory across sessions using vector databases for context recall. Powered by OpenAI and Meta LLaMA models.
Next.jsNode.jsOpenAI APILLaMA-2Vector DBPinecone
Frequently Asked Questions
I specialize in Python, FastAPI, LangChain, Next.js, and LLM technologies including OpenAI GPT-4, Gemini, and vector databases like ChromaDB and Pinecone. I build production-ready AI applications with multi-agent architectures and scalable backend systems.
Yes, I am available for freelance and consulting work in AI development, backend architecture, and full-stack web applications. I have experience building multi-agent AI systems, RAG pipelines, and cloud-deployed APIs. Reach out through the contact form to discuss your project.
I have built various AI applications including RAG-based documentation assistants, conversational AI companions with persistent memory, AI-powered news aggregation platforms, and chatbots using Vercel AI SDK and LangChain.
Yes, I am open to remote work opportunities. I am based in Pune, India, and have experience collaborating with distributed teams across different time zones.