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Shreyansh Rajput

@shreyanshrajput

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Full-stack Azure developer building agentic AI for enterprise observability.

India

Message

What I'm looking for

I’m looking for a role where I can build agentic AI full-stack systems on Azure—using RAG, REST APIs, and observability workflows to reduce latency and operational cost while delivering measurable value.

I’m an Application Developer working in Azure Cloud FullStack at IBM, where I design and build AI-powered full-stack applications. I use Python, FastAPI, ASP.NET Core, React, and TypeScript to support enterprise SRE and observability workflows.

I build agentic AI systems with LangGraph, LangChain, Pydantic AI, and Azure OpenAI to automate documentation analysis, repository assessment, and change impact workflows. I also develop RAG pipelines using enterprise knowledge bases, vector search, and Azure OpenAI for context-aware insights, and I orchestrate concurrent agents with the Microsoft Agent Framework to improve execution latency and optimize token consumption.

I deliver scalable REST APIs and microservices that integrate AI workflows with structured and unstructured enterprise data. I’ve also prototyped an Azure Monitor-based dependency graph solution using OpenTelemetry (OTEL) and AKS telemetry to meet compliance requirements and reduce reliance on third-party observability platforms—alongside projects like a LangChain-based e-commerce RAG chatbot and an IEEE publication on transformer-based tag prediction.

Experience

Work history, roles, and key accomplishments

Current

Application Developer - Azure Cloud

Current

IBM

Aug 2025 - Present (11 months)

Designed and developed AI-powered full-stack applications using Python, FastAPI, ASP.NET Core, React, and TypeScript to support enterprise SRE and observability workflows. Built agentic AI and RAG systems (LangGraph/LangChain/Azure OpenAI) with REST APIs and deployed on Azure using Docker, Kubernetes, Azure VMs, and Azure App Services.

Python fastAPI ASP.NET Core React TypeScript LangGraph Lang Chain Azure OpenAI Agentic AI RAG Vector Search azure monitor AKS REST APIs Microservices Docker Kubernetes Azure Services CI CD Observability

Education

Degrees, certifications, and relevant coursework

Gautam Buddha University, School Of ICT

B.Tech (CSE) + M.Tech (Artificial Intelligence and Robotics) - Dual Degree, Computer Science Engineering / Artificial Intelligence and Robotics

Grade: GPA: 8.75/10.00

Completed a B.Tech (CSE) + M.Tech (Artificial Intelligence and Robotics) dual degree program from Gautam Buddha University, School of ICT. GPA: 8.75/10.00.