Software Engineer

I'm Swanand Sanjay Khonde, accomplished software engineer with a proven track record of developing and implementing both frontend and backend solutions. Known for working with limited direction while understanding and executing a business vision to build market-ready applications. Capable of leading projects from conception to completion and poised for future leadership roles.

Skills

Python, Java, Javascript/ Typescript, C++

Spring Boot, Node.js, Flask, FastAPI, Express

React.js, Next.js, Tailwind CSS

GCP, Azure, Terraform, Jenkins, Git, JUnit, Ansible, Grafana, Kafka

SQL, MongoDB, PostgreSQL, Redis

Pytorch, Tensorflow, Pandas, Numpy, Neural Networks, Matplotlib

Agno, OpenAI, Anthropic, RAG, Vector Databases

Work Experience

Ford Motor Company
Software Development Engineer II
Jan 2025 - Present
Rice University
Graduate Teaching Assistant
Jan 2024 - Dec 2024
Nedd Technologies
Founding Software Engineer
May 2024 - Aug 2024
HSBC
Software Engineer
Aug 2021 - Jun 2023
Optimum Data Analytics
Machine Learning Engineer Intern
Aug 2019 - Jan 2020
Iauro Systems
Software Engineer Intern
June 2018 - Aug 2018

Projects

Folio Editor

A paginated document editor for React/Next.js — Google Docs-style page breaks, headers/footers, charts, math equations, and print-ready output. Built on TipTap and published to npm.

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Relic

A codebase knowledge graph CLI for AI coding agents. Builds a static knowledge graph from source code via MCP — no LLM needed. Saves 80% of context tokens by replacing manual file reads with compact TOON subgraphs. Published to PyPI.

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Cloudless - Secure File Transfer

A secure, self-hosted file transfer application with end-to-end encryption using XSalsa20-Poly1305. Features encrypted chat, relay transfers, and safety number verification. Built with Next.js, FastAPI, and TweetNaCl.

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Articles

20 September 2026

2,100 Miles, One Weekend, and a Waterfall Taller Than Niagara

A 2,100-mile round trip from Atlanta to the Finger Lakes: Taughannock Falls, Watkins Glen, and getting back to doing things just for me.

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04 May 2026

The Next Frontier in AI Coding Agents: Saving Tokens

There's a quiet tax being levied on every team adopting AI coding agents. It doesn't show up in your sprint retro. It shows up in your API bill. Every time an agent reads a file to answer a question, it burns tokens. This is a structural problem with a structural solution: a knowledge graph that gives AI agents the same mental model a senior engineer uses to navigate a codebase.

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Gallery