Aryan Kenchappagol

I’m an entry-level software engineer with a strong pull toward applied machine learning, natural language processing, and building tools that actually ship. My background blends engineering fundamentals with hands-on work across internships and open-source contributions.

At Espressif Systems, I developed LSTM models for on-field device behavior analysis and implemented an open-source tool to improve deployment of TensorFlow Lite models on ESP chips. I focus on turning research-style ideas into practical systems under real constraints.

As a Natural Language Processing Engineer Intern at Stride AI, I used HuggingFace and spaCy for entity extraction across multiple languages, and I added machine learning features like sentiment analysis and summarization. Earlier, in Google Summer of Code, I built Python microservices to generate 3D scenes and publish models using Cesium workflows and REST APIs.

In my projects, I’ve built an app that integrates CrowdSec threat intelligence into Splunk for fast, actionable IP-based viewing, and I developed a Flutter/Dart COVID vaccine availability checker using the CoWIN API. I also created a full-stack deep learning web app for retinal fundus scan classification with multiple model stages, and I’m energized by teams that value clarity, reliability, and measurable impact.