Building intelligent systems with Agentic AI & modern web stack.
Software Engineer specializing in Agentic AI, Generative AI, and MERN stack development. Currently building AI-driven systems that automate workflows and enhance decision-making through intelligent agent architectures.
Capabilities
I design and build intelligent, scalable systems powered by AI and modern web technologies.
01
Agentic AI Systems
Building multi-agent workflows using LangGraph, RAG pipelines, and LLM integrations to automate complex business processes.
02
Full-Stack Development
Developing scalable web applications using MERN stack with clean architecture, APIs, and real-time capabilities.
03
AI Integration & Automation
Integrating LLMs, embeddings, and external systems to create automation-first solutions for real-world use cases.
Building systems that think and act.
Hi, I'm Shubhay, a Software Engineer at Infosys working in Agentic AI. I focus on building intelligent systems that go beyond static applications, systems that can reason, automate workflows, and interact with real-world data.
My experience spans Generative AI, RAG pipelines, and full-stack development. I enjoy designing end-to-end solutions, from data extraction and validation to intelligent decision-making systems. Currently, I’m focused on building impactful AI-driven products that solve real business problems.
Snapshot
Focus
Agentic AI, Generative AI, automation systems.
Stack
Python, React, Node.js, LangGraph, FastAPI, MongoDB, AWS Bedrock, LLM's.
What drives me
Building intelligent systems that automate real-world workflows.
Currently exploring
Multi-agent systems, MCP, A2A architectures, and AI observability.
Experience
November 2025 - Present
Specialist Programmer
Infosys
Working in Agentic AI, building multi-agent systems, RAG pipelines, and automation workflows using LangGraph, MCP, A2A, LangChain, LLMs, and cloud integrations.
August 2024 - July 2025
Software Engineer Intern
Oriserve
Developed enterprise chatbot solutions, admin dashboards, and scalable web applications. Worked on LLM integrations and multi-channel conversational systems.
May 2024 - July 2024
Summer Intern
Celebal Technologies
Worked on real-world development tasks involving web technologies and gained hands-on experience in building scalable applications and collaborating in an agile environment.
Projects
A selection of projects focused on Agentic AI, automation, and scalable web systems.
AI Invoice Auditor
Built an Agentic AI system for multilingual invoice processing and validation using OCR, LLM-based translation, and RAG-driven discrepancy detection with human-in-the-loop workflows.
ViraX – Influence Maximization Platform
Developed a graph-based system for viral marketing using influence maximization techniques like Greedy, PageRank, and ICM to identify high-impact nodes and simulate influence propagation.
NEXUS – Community Detection Platform
Built a web-based platform for social network analysis using graph algorithms like Louvain and Label Propagation to detect communities and identify influential nodes in large datasets.
CryptoWatch – Real-Time Crypto Tracker
Developed a real-time cryptocurrency tracking dashboard using React with live API integration to display price trends, market data, and dynamic updates in a responsive UI.