R Shreyas.

CSE undergraduate engineering robust Backend SDE and AI/ML systems.

> Current focus: Scalable backend architecture, machine learning model explainability, and applied computer vision research.

GitHub LinkedIn LeetCode

System.Core_v2.0Uptime: 2023_2027Status: Optimal

Uplink Status

Available for workLOC: Bengaluru

Core Architecture

Next.js 15

TypeScript

React

Tailwind CSS

Framer Motion

Python

Node.js

Firebase

PostgreSQL

PyTorch

OpenCV

LangGraph

Redis

Docker

QDrant

Streamlit

SHAP

LIME

Selected Works

EXE. FOO

FOOTBALL PLAYER ANALYZER

Predict player attributes from images using deep learning techniques.

> Next.js> FastAPI> PostgreSQL> Redis> Docker

EXE. VEN

VENTBOT

AI-powered chatbot for mental health support and resources.

> LangGraph> MERN> QDrant> Redis> Docker

EXE. THE

The College Portal

A comprehensive platform for college students to manage academics, track attendance, and access resources.

> React.js> Firebase> SendGrid> Node.js

EXE. BLA

Black Box Explainability Tool

Live Streamlit dashboard integrating a PyTorch engine alongside SHAP and LIME to interpret complex model feature weights.

> PyTorch> SHAP> LIME> Streamlit

EXE. COS

Cosmic Image Processing

Processing Images directly taken from the JWST and detecting features.

> Python> OpenCV> Astropy> Computer Vision

Professional Log

KRONOS AI/ML Club

Web and Platform Head|October 2025 - Present

Leading the web and platform development team, overseeing the creation and maintenance of the club's online presence and digital platforms.

Open Source Contributions

Observal

Contributed to Observal, wrote 30+ tests covering AI IDE and harness supports, while collaborating with global developers.

PickleBerry

Contributed to PickleBerry, a bash file management system, by making it cross-functional across different operating systems (mainly Linux and macOS) and enhancing its usability.

Publications

Empirical Analysis of Quantum vs. Classical Kernels

IEEE NQCOMP 2026|2026

This paper presents a comparative study of quantum and classical kernel methods, analyzing their performance across various datasets and highlighting the potential advantages of quantum approaches in specific scenarios.

Connection Uplink

Let's Connect.

Currently exploring new opportunities and open to collaborating on complex web architecture and machine learning research.