Abhishek Shendre Bidar Karnataka India __PROT 0__ 664929 __PROT 4__: shendre 14 PROFESSIONAL SUMMARY Results driven Software Engineer / __PROT 6__ Full Stack Developer with ~2 years of experience building backend systems REST APIs enterprise integrations and cloud enabled applications using C# __PROT 7__ Core ASP__PROT 8__ Web API __PROT 2__ SQL Server and Azure Dev Ops. Hands on exposure to Generative AI and Agentic AI development including Lang Chain Lang Graph RAG pipelines Claude Code subagents MCP tooling CrewAI and AI workflow automation. Experienced in building and optimizing scalable APIs CI/CD pipelines secure cloud integrations and AI proof of concepts. Currently transitioning into AI Engineer / Generative AI Engineer / LLM Application Engineer roles with a focus on LLM applications RAG systems AI copilots and backend AI integrations. TECHNICAL SKILLS Programming & Scripting: C# Python SQL __PROT 1__ HTML CSS GraphQL C __PROT 5__ Java Backend / Full Stack Development: __PROT 9__ Core ASP__PROT 10__ Web API ASP__PROT 11__ MVC __PROT 3__ REST APIs GraphQL APIs Entity Framework API Integration AI / Generative AI / Agentic AI: Lang Chain Lang Graph RAG Claude Code MCP Tooling CrewAI Semantic Kernel (Basic) Prompt Engineering AI Workflow Automation LLM Application Prototyping Cloud / Dev Ops / Deployment: Microsoft Azure Azure Dev Ops Azure Key Vault CI/CD Pipelines Docker Build & Release Pipelines Databases / Storage: SQL Server PostgreSQL Redis (Basic) Cosmos DB (Basic) MinIO Tools / Platforms: Git Visual Studio VS Code Postman SSMS Burp Suite Eclipse Core Engineering Skills: API Development OOP Debugging Problem Solving Version Control System Design Basics Unit Testing REST API Testing GraphQL Testing PROFESSIONAL EXPERIENCE Sonata Software Software Engineer / __PROT 12__ Full Stack Developer Developed and deployed 20+ high performance REST APIs using __PROT 13__ Core / ASP__PROT 14__ Web API improving application performance maintainability and integration efficiency across business workflows. Designed and implemented 6+ Claude Code subagents with MCP tooling to support structured agentic AI workflows improving internal automation coverage and accelerating task orchestration. Built 4+ Generative AI proof of concepts using RAG Lang Chain CrewAI and Lang Graph exploring AI powered assistants workflow automation and document/query based use cases. Contributed to backend modernization by executing migration from __PROT 15__ Framework 4__PROT 16__ to __PROT 17__ 8 improving runtime performance maintainability and long term platform readiness. Configured and maintained Azure Dev Ops CI/CD pipelines across multiple environments reducing deployment effort and improving build reliability for production releases. Migrated sensitive configurations and secrets to Azure Key Vault strengthening application security and configuration management practices. Implemented GraphQL mutations and Shopify related backend integrations to improve extensibility and support reusable service layer development. Optimized SQL Server queries and backend data access patterns reducing latency and improving reliability for API driven operations. AI / GENERATIVE AI PROJECT EXPERIENCE Agentic AI Workflow & RAG Prototyping Tech: Python Lang Chain Lang Graph CrewAI Claude Code MCP RAG Built and tested Generative AI proof of concepts focused on Retrieval Augmented Generation (RAG) conversational workflows and LLM assisted task automation. Worked with Lang Chain / Lang Graph based orchestration patterns for chaining prompts retrieval steps and multi step AI interactions. Explored agentic AI workflows using Claude Code subagents and MCP tooling for modular automation and structured task execution. Experimented with AI assisted workflows for knowledge retrieval contextual response generation and productivity oriented use cases. PROJECTS Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning Mar 2023 May 2023 Built an academic deep learning project focused on evaluating how membership inference attacks can compromise wireless signal classifiers and exploring defense strategies to improve model privacy and robustness. Studied vulnerabilities in deep learning based classification systems and analyzed defensive approaches for protecting sensitive signal data in practical applications. EDUCATION Lingaraj Appa Engineering College Bidar Karnataka Aug 2019 May 2023 Bachelor of Engineering in Computer Science CGPA: 8__PROT 18__ Final year project selected under KSCST reflecting applied technical and research capability. CERTIFICATIONS Microsoft Azure Fundamentals (AZ 900) Google Data Analytics Certificate Deloitte Technology Virtual Experience Program AWARDS DNA Award PLAY TO WIN Sonata Software