AI Engineer building agentic AI systems for automation, analysis, and developer workflows.
I'm Venkata Sai Revanth Sannidhi, an AI engineer building agentic AI systems, automation workflows, and developer tools. I work across AI workflows, backend systems, and product engineering, with a strong focus on building software that solves real problems and makes people faster.
My public work spans TypeScript, JavaScript, Python, React, agent-driven automation, AI tooling, and workflow systems. I like turning ambitious ideas into practical products, especially when the result improves how developers build, test, analyze, and ship.
Typescript
Node.js
Python
ReactMy work usually lives where AI, automation, and developer productivity overlap. I enjoy building tools that make workflows clearer, reduce manual effort, and turn complex systems into something people can actually use.
Built Fomo.ai for the Anthropic hackathon. The project placed in the top 50 among roughly 5,000 participants and earned an invite to the in-person developer conference event.
Built an AI-driven stock analysis agent focused on the Indian markets, combining market research, reasoning workflows, and developer-friendly automation in an open-source project.
Contributed fixes, improvements, and developer tooling work across open-source AI and agent ecosystem projects including Refact.ai, Speak MCP, dot-agents, and NodeCode.ai.
Built a VS Code extension that tracks Auggie credits in real time, including token visibility, per-prompt usage, and daily monitoring.
Built a Claude skill that improves AI coding accuracy by surfacing exact React file paths and component targets, reducing the guess-and-verify loop in UI edits.
Built agent-based workflows that ranked businesses for AI readiness, automated testing, identified capability gaps, and generated reports on what was missing and where improvements were needed.