Amitabh Shubham

About Amitabh Shubham

Full Stack Developer with 5+ years of experience, skilled in NodeJS, ReactJS, MongoDB, and Postgres. I specialize in backend development with NestJS and have extensive experience integrating Large Language Models (LLMs) like OpenAI, Gemini, Claude, and DeepSeek & AWS Bedrock.My core expertise includes building RAG (Retrieval-Augmented Generation) solutions with LangChain and managing vector databases like Milvus and OpenSearch for advanced semantic search. Additionally, I\'ve developed intelligent AI voice agents leveraging Twilio and Deepgram (STT/TTS) and built AI chatbots and multi-tenant knowledge base platforms for enterprise clients.I also have a strong background in leading projects and teams, and thrive in collaborative, challenge-driven environments. Looking to grow further in a dynamic company where I can continue to leverage and expand my skills.

Experience

1. Node Js Developer Ai Integration Specialist

   Henceforth Solutions Pvt Ltd

   Dec 2024 — Present

   As a backend developer working primarily with NestJS (Node.js framework), I focus on building intelligent, scalable backend systems with deep integration of AI and LLM technologies. Key Focus Areas:🧠 LLM Integration & AI Architecture:Integrated leading large language models including OpenAI, Gemini, Claude, and DeepSeek, leveraging AWS Bedrock for scalable deployment. RAG (Retrieval-Augmented Generation):Built advanced RAG pipelines using LangChain to enable context-aware, knowledge-based responses. Vector Search & Embedding Storage:Implemented semantic search using Milvus and OpenSearch for real-time vector-based document retrieval. Conversational AI Agents (Voice + Chat):Created AI-powered agents capable of voice interactions using Twilio and Deepgram, combining STT (Speech-to-Text), TTS (Text-to-Speech), LLMs, and RAG knowledge bases to enable intelligent two-way communication. Custom AI Chatbots:Developed smart chatbots for various platforms, using LLMs to deliver personalized, context-aware user experiences. Multi-Tenant Knowledge Base Systems:Engineered scalable, secure platforms supporting multi-tenant knowledge base architecture for AI-powered search and interaction.

Education

• Saryug College, Samastipur (Bihar)

  12th, Science (mathematics)

  2014 — 2016

• Lovely Professional University

  Master of Computer Applications - MCA, Data Science

  2019 — 2021

• Shanti Niketan Awasiya Bal Vidyalaya, Muzaffarpur (Bihar)

  10th

• Doranda College, Ranchi University

  Bachelor in Science, Information Technology

  2016 — 2019