Devesh Choudhary

Software Developer with ~2.75 years of experience building production-grade solutions on Atlassian Confluence (plugins, macros, REST APIs, CQL search, custom HTML). Daily user of Cursor and GitHub Copilot, leveraging AI tools to deliver features faster across languages. Built AI agents on Microsoft Copilot 365 for knowledge retrieval.

Since

July 2026, handling end-to-end customer requirements with 8–10 stakeholders weekly. Seeking hybrid roles that combine technical depth, AI fluency, and stakeholder collaboration.

Software Developer at Amdocs DVCI (2023-12 – Present)

• Stakeholder Management: Engage with customers to clarify requirements, prepare solution drafts, develop features, and support successful delivery after QA validation.
• End-to-End Search Feature: Designed and implemented Confluence-wide search using CQL for comprehensive indexing across pages and spaces — significantly improving content discoverability and productivity.
• Cross-Instance Data Migration: Built solution to move data between Confluence instances with data integrity, reducing manual migration effort.
• Comments Plugin: Developed and optimized a Confluence plugin for page-level comments, improving collaboration workflows and response times via backend optimizations.
• Disaster Recovery: Stood up and operationalized a Disaster Recovery server in under 24 hours, ensuring business continuity.
• RPA Automation: Created RPA bot + SQL script that auto-disables accounts inactive for 90+ days every Monday — reducing manual effort by ~80% and lowering operational costs.
• AI Agents (Copilot 365): Built 2 agents, including a Confluence knowledge chatbot that answers contextually after ingesting entire space data (PDF export) — improving support efficiency.
• AI-Augmented Development: Daily use of Cursor and GitHub Copilot to accelerate development across languages — rapid delivery of plugins, macros, REST endpoints, and custom UI components.

QA and Automation Intern at Colgate-Palmolive (2022-07 – 2022-12)

• Conducted regression testing for production deployments, identifying defects early and contributing to stable releases.
• Designed a chatbot to route users to relevant customer care specialists, improving UX and reducing response time by 30%.

B.Tech in Electronics and Telecommunications – MIT World Peace University, Pune (2019-07 – 2023-06)

CBSE 12th – Modi Public School, Kota (2019)