Atharva Naik — Developer
Building multi-agent AI systems · Shipping production-ready LLM apps · Designing scalable FastAPI backends · Crafting full stack AI experiences · Engineering RAG pipelines & AI workflows
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
Blockchain & Web3
Blogs
How I Prepared for the MongoDB Associate Developer Node.js Exam
Thinking about taking the MongoDB Node.js exam? Here's exactly how I studied, what resources actually worked, and what to expect on test day.
April 6, 20265 min readSystem 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 read
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.jsFastAPILangGraphGenAISSEMongoDBJWTSolanaA 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, Golang, 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 AI consulting and development work, including backend architecture, full-stack web applications, and AI integration. I have experience building multi-agent AI systems, RAG pipelines, and cloud-deployed APIs. If you want to hire an AI developer in India, reach out through the contact form to discuss your project.
I have built production-grade AI applications including RAG-based documentation assistants, conversational AI companions with persistent memory using vector databases, AI-powered news aggregation platforms with LangGraph multi-agent pipelines, and chatbots using Vercel AI SDK and LangChain.
Yes, I am open to remote work opportunities as a full stack AI developer. I am based in Pune, India, and have experience collaborating with distributed teams across different time zones on Python, FastAPI, and Next.js projects.
You can reach me through the contact form on this website, or connect with me on LinkedIn and GitHub. I am available for full-time roles, freelance projects, and AI consulting engagements. I typically respond within 24 hours.