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@thechandanbhagat

Chandan Bhagat

thechandanbhagat
London, United Kingdom

I'm Chandan, a full-stack developer who builds open-source tools and writes about technology. I create practical solutions that solve real problems for developers.

What I'm building:

I created CV Forge, an MCP server that automates CV tailoring for job applications using Claude AI. It's now listed on the official MCP registry and helps job seekers save hours of manual work.

I also built Group Code, a VS Code extension that helps developers organize their code based on functionality, making large codebases easier to navigate and understand.

I'm working on Khukuri, a programming language that uses Nepali slang, alongside various other developer tools that make everyday tasks easier.

My broader work:

As CTO of Turboline AI, I'm building real-time AI agents that process streaming data for cryptocurrency, stock markets, and IoT applications. I recently developed TSLN (Time-Series Lean Notation), a data compression format that reduces LLM token usage by 80% for time-series data.

I write technical articles on my blog at chandanbhagat.com.np, covering software engineering, cloud technologies, and mental health in the tech industry.

Why sponsorship matters:

Your support helps me dedicate more time to maintaining these open-source projects, creating new tools, and writing content for the developer community. It keeps these resources free and actively developed for everyone.

Thank you for considering sponsoring my work.

@thechandanbhagat

Initially this goal will help me get started with the open source .NET Project.

Featured work

  1. thechandanbhagat/cv-forge

    MCP to tailored CV based on job description

    TypeScript 27
  2. thechandanbhagat/group-code

    VS Code extension for organizing codes based on functionality

    TypeScript 16
  3. thechandanbhagat/ezpm2gui

    Unofficial GUI for PM2 process management

    TypeScript 14
  4. KeraDB/keradb

    Core KeraDB codebase for embedded NoSQL database.

    Rust 2
  5. turboline-ai/tsln

    A Novel Data Serialization Format for Token-Efficient AI Analysis

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