Hi, I'm Likhin M N
I'm a software engineer focused on turning complex requirements into robust, maintainable systems. I build APIs, data flows, and developer experiences with an emphasis on clarity and performance.

About
Currently, I am a Computer Engineering student focused on systems programming and AI. In the past, I've architected high-performance libraries like Raxios, built a WebAssembly LaTeX rendering engine used by thousands. I also actively contribute to open-source, building scalable AI pipelines and multi-tenant SaaS tools.
Work Experience

Dyashin Technosoft
Python and Data Analytics Intern
Education

KVG College of Engineering
Bachelor of Engineering in Computer Engineering

Govt. P U College, Sullia
Pre-University
Community Involvement

SphereHive
Technical Team Member
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

A blazing fast, native HTTP client that provides a seamless Axios-compatible API for Node.js and browser environments. It leverages Rust's safety and performance characteristics through N-API, avoiding V8 garbage collection overhead on heavy networking workloads.

A reactive desktop GUI framework for Python built on Qt/PySide6 signals. Declarative component model, reactive state, and composable layouts — designed to eliminate Qt boilerplate while keeping full power.

A highly optimized LaTeX rendering engine built in Rust and compiled to WASM. Ships React, Vue, Svelte, and Vanilla JS bindings. Produces SVG and MathML output for dual rendering, is screen-reader accessible by default, and exposes a plugin API for custom symbols. Published to npm as swifttex-wasm.
Open Source
Check out my latest writing
Thoughts on software engineering, AI infrastructure, and building scalable systems.

An in-depth look at the recent protocol changes making the Model Context Protocol stateless and how it impacts AI infrastructure.

Exploring the LiteRT-LM architecture and how it maximizes on-device inference performance on constrained hardware.
Get in Touch
I'm currently open to new opportunities and collaborations. Feel free to reach out via a direct message on LinkedIn
