Writing Work Vidhya Divakar

Technical Writer & Open-Source Contributor

Independent / Open-Source

Full-time open-source technical writing across CNCF projects — API documentation, developer guides, AI/GenAI documentation, and REST API references using Swagger, GitHub, and DITA XML standards.

With 8+ years of experience in Technical Writing and UX Writing, currently contributing to Open-Source CNCF Projects (full-time hours) while upskilling to remain resilient in an AI-competitive world.

API Documentation

Worked on creating API documentation for open-source and portfolio projects using Swagger and VS Code — carefully curated endpoints, query parameters, requests, and responses written in JSON, Java, JavaScript, Python, Ruby, PHP, and more.

Improved project accessibility by developing README files and documentation for REST API files in GitHub across multiple open-source projects.

Banking Microservices

Developed and maintained JavaDocs and technical documentation for banking microservices, documenting APIs and leveraging developer docs to support engineering teams.

AI & GenAI Documentation

Documented Generative AI workflows and LLM-based features including AI documentation for prompts, model behavior, and input/output formats. Created implementation notes, templates for automation, best practices, and sample use cases. Interpreted OOP-based code modules (Java/Python) to produce accurate developer documentation.

Technical Writing & Publishing

Developing technical write-ups and articles using Visual Studio Code and Sublime Text, following DITA XML standards — covering AI, GenAI, LLMs, Expert Systems, Finance, and E-commerce topics for portfolio and open-source projects.

Collaboration & Tooling

Experienced in maintaining project files in GitHub Version Control for easy usability, recovery, and compatible working in DevOps CI/CD workflows and Agile Scrum methodology.

Proven ability to work effectively with globally distributed teams, leveraging Confluence, SharePoint, and Git-based collaboration tools. Familiar with machine learning and deep learning, with a data-driven, ethical approach to AI problem solving and solution design.