Headline

GenAI Engineer | Agentic AI • Multi-Agent Systems • RAG | LangChain • LangGraph • OpenAI | Java • Spring Boot • Python

About

I'm a Software Engineer with 2 years of experience building production-grade AI systems and scalable backend architectures. My journey started with Java & Spring Boot backend development, and I transitioned into full-time GenAI/Agentic AI engineering — building systems that are intelligent, autonomous, and production-ready. What I build: 🤖 Agentic AI systems & Multi-Agent frameworks (LangGraph, A2A) 🔍 RAG-based applications with vector databases (FAISS, Chroma, Pinecone) 🎙️ Voice AI Agents with real-time conversational workflows ⚙️ MCP servers & SSE-based event streaming architectures 🏗️ Backend APIs & Microservices (Java, Spring Boot, FastAPI) Tech I work with: Python · Java · LangChain · LangGraph · OpenAI · CrewAI · FastAPI · Spring Boot · AWS · GCP · Docker · FAISS · Pinecone Currently building @ Duredev: Working on TalentPass — an AI-powered mock interview platform with agent-based workflows and LLM evaluation systems. Open to GenAI Engineer / AI Engineer / LLM Engineer roles. 📩 yashjain7216@gmail.com

Location

Indore

AI stack

langchain

langgraph

mcp

openai

Work experience

Software Engineer at Duredev, May 2025 - Present · 1 yr 1 mo, Indore, Madhya Pradesh, India, Building next-generation Agentic AI systems and multi-agent orchestration frameworks. • Built intelligent AI agents using LLM-based architectures with dynamic tool selection • Designed multi-agent systems using A2A frameworks for complex task orchestration • Built and integrated MCP servers to enable tool-augmented AI workflows • Implemented real-time communication using SSE-based event streaming • Designed autonomous workflow automation agents for decision-making and execution TalentPass — AI Mock Interview Platform • Built AI-driven platform for mock interviews and candidate evaluation • Designed agent-based workflows simulating real interview scenarios with dynamic question generation • Enabled real-time feedback using LLM-powered evaluation systems 🛠 Python · LangChain · LangGraph · OpenAI · MCP · SSE · A2A · FastAPI · GCP

Associate Software Engineer at Valuebound, Oct 2024 - Apr 2025 · 7 mos, Started as Java backend engineer, transitioned into AI/LLM development. • Developed backend systems using Java, Spring Boot and cloud technologies • Built scalable REST APIs with caching and database performance optimization SitePilot — AI Website Optimization Platform • Built AI-driven system to analyze website performance, SEO and code quality using LLMs • Generated prioritized actionable insights for speed, accessibility and SEO improvements Voice AI Agent • Developed voice-based AI agent for automated interactions using LLMs and speech processing • Built real-time conversational workflows with voice input/output pipeline integration 🛠 Java · Spring Boot · Python · LangChain · OpenAI · GCP

Intern at Valuebound, Jul 2024 - Oct 2024 · 4 mos

Education

Bachelor of Technology - BTech, Computer Science, LNCT Group of Colleges