Software engineer · Independent builder

Developer tools.
Cloud services.
Useful AI.

I’m Aviral Garg. I build tools that help people investigate problems, automate workflows and turn ideas into working software.

My work spans developer tooling at Kardium, AWS services and virtual try-on at Amazon, and full-stack applications at T4G.

Selected work

Published Python packages, a full-stack AI application and an open-source contribution.

  • indentlogger

    Follow nested Python calls with indented entry and exit logs. Configure the output or instrument a module or class automatically.

  • Live Transcriber

    Stream microphone audio to Deepgram and handle transcripts in a Python application through callbacks or a text file. Includes configurable recognition and file-output controls.

  • ResumeCoach

    Historical project · retired July 2026

    A React/TypeScript and Python application for comparing a résumé with a job description and asking follow-up questions. Built with LangChain, Lambda, API Gateway, DynamoDB sessions and AWS CDK.

Engineering experience

Kardium Developer tooling & CI/CD

Build-failure investigation workflows, repeatable CLI tools and build-system dependency management. Code review and mentoring are part of my work.

Amazon Cloud services & product engineering

AWS-backed virtual try-on pipelines, cross-team image intake and Python/React tools. Earlier work included Kotlin APIs and automated deployment and load-testing workflows.

T4G Full-stack applications

React, TypeScript and Node.js applications for collecting and auditing data, plus Python chatbot prototypes and developer workshops.

Smaller tools & experiments

Browser utilities, interactive demos and research explorations.

Engineering notes

All writing →

Notes on reusable tools, failure handling and the assumptions behind software.

Let’s talk

Interested in developer tools, backend services or practical AI workflows?

Contact me on LinkedIn →