Chetas Parekh

I am an Deep Learning - GenAI Researcher and FullStack Software Engineer currently completing my Master’s in Computer Science at San Francisco State University. As a researcher and developer, I spend most of my time at the intersection of deep learning and scalable software architecture. Whether I am fine-tuning predictive coding models in the lab or architecting RAG-based chatbots for students, I focus on creating technology that is both powerful and reliable. My professional background includes experience at companies like eInfochips and FINCIPLINE, where I specialized in optimizing data pipelines and scaling platforms to support thousands of users. I am a firm believer in the power of continuous learning and enjoy translating academic breakthroughs into functional tools that solve real problems. My goal is to keep pushing the boundaries of what AI can do while ensuring the underlying software remains secure and high performing.

Core Skills

Languages

Python

Java

JavaScript

TypeScript

SQL

GraphQL

Frameworks & Libraries

React

Next.js

PyTorch

AI & ML

HuggingFace

Ollama

Colossal-AI

CrewAI

Cloud & DevOps

AWS

GCP

Azure

Docker

Databases

MongoDB

Firebase

Qdrant

Automation & Tools

UiPath

Power Automate