Kishan Parmar is a Python-focused Community Engineer with about three years of professional experience building backend systems and APIs using Django, Flask, and FastAPI. He brings solid database knowledge across MongoDB, Postgres, and MySQL, and pairs backend work with practical front-end experience in JavaScript and TypeScript. At Activepieces (YC S22) he contributes to a popular open-source AI automation project, implementing integrations such as Slack actions and modernizing API usage. Comfortable with Docker and Kubernetes, he is actively expanding his cloud skills on GCP and enjoys contributing to open-source tooling. Based in Gujarat, India, Kishan combines hands-on implementation with community-facing engineering, making him well-suited for startups that value both shipping features and engaging developer communities.
3 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at Dharmsinh Desai University
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Role in this project:
Back-end Developer
Contributions:461 reviews, 782 PRs, 523 pushes in 3 years
Contributions summary:Kishan implemented the action to add reaction to the message functionality within the Slack integration piece. Their work involved creating a file within the packages directory, modifying the `index.ts` file, and creating an action named `addRectionToMessageAction`. Additionally, they fixed a character set warning, using the WebClient and removed the HTTP client call, suggesting an upgrade of API usage.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Contributions:8 pushes in 4 months
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