Danush Gopinath

About Me

I am currently pursuing my Master of Science in Computer Science at Northeastern University, with coursework in programming paradigms, algorithms, AI, and cloud computing.

I hold a B.Tech in Information Technology from Sri Sivasubramaniya Nadar College of Engineering, where I graduated with a GPA of 3.8.

Professionally, I've interned as an AIOps Engineer at ThoughtData, where I led a team to integrate advanced time series correlation models like FastDTW and EDM into an enterprise platform.

Prior to that, I interned at Fidelity Investments, where I developed and deployed a MEAN stack web application that streamlined server monitoring, improving operational efficiency significantly.

I have strong technical skills across Python, C++, Java, React, Node.js, and cloud platforms such as AWS and Azure.

I'm also passionate about research—having worked on projects involving Alzheimer's classification from medical imaging and real-time sign language translation systems for healthcare..

⚽Die-hard Real Madrid fan—Hala Madrid!
🏎️Motorsport enthusiast—Formula 1, MotoGP, you name it
🍜Certified foodie—on a mission to find the best street food
🎬Crime & thriller movie buff—plot twists are my jam
🛣️Road trip junkie—music on, map off
🧗Always up for an adventure—cliff-jumping, trekking, or getting lost on purpose

Skills

Python

C++

Java

HTML

CSS

JavaScript

SQL

Swing

React Native

Python

C++

Java

HTML

CSS

JavaScript

SQL

Swing

React Native

React

Angular

NodeJS

Express

Keras

TensorFlow

Scikit-Learn

Pandas

NumPy

React

Angular

NodeJS

Express

Keras

TensorFlow

Scikit-Learn

Pandas

NumPy

GIT

MySQL

MongoDB

Figma

Azure

Docker

Firebase

AWS

GIT

MySQL

MongoDB

Figma

Azure

Docker

Firebase

AWS

Proficiency Levels

Frontend Development90%

Backend Development85%

Machine Learning80%

Cloud Services75%

DevOps70%

UI/UX Design65%

Experience

ThoughtData

Remote - Boston

AIOps Intern

March 2024 - July 2024

Led a team of 3 to enhance Enterprise360 by integrating advanced correlation analysis tools such as FastDTW, EDM, and Kernel Ridge Regression, significantly improving data correlation capabilities.
Augmented platform performance by embedding direct Python code execution via webhooks, ensuring continuous 100% uptime and seamless UI integration.

Fidelity Investments

Remote - Bangalore

Software Developer Intern

June 2023 - August 2023

Orchestrated the development and deployment of a MEAN-stack web application for streamlining server monitoring processes, completing the project within 60 days.
Enhanced operational efficiency by introducing measures that reduced monitoring time per team member by 90% and mitigated server-overload scenarios.