suhas raja.


A bit about my skillset


I have experience researching at Sandia National Laboratories, The Walt Disney Company, multiple universities, and independently.


I am passionate about process acceleration. I've applied algorithmic optimization to real-world environments ranging from coastal power distribution systems to my calendar. Webapps, databases, and algorithm development- I'm there.


I'm curious about how to apply my quantitative and development skills to other fields, spanning medical device design to political science and policy analysis.

Where I've been:

Amazon Robotics - Blink

Embedded Software Engineer
June 2021 - Present

Carnegie Mellon Robotics Institute

Research Intern
May 2020 - August 2020

Walt Disney Attraction Technologies

Machine Learning and Data Science Intern
May 2019 - August 2019

Sandia National Laboratories

Power System Optimization Intern
June 2018 - October 2018

Lean On Me Peer Support @ MIT

Power System Optimization Intern
June 2017 - February 2018

The University of Texas at Austin

Teaching Assistant - Computing, Embedded Systems, Algorithms
August 2018 - December 2019

Some of my work:

PowerFlowy - The First Unofficial Workflowy REST API, with Integrations


  • Developed REST API for service with over 2 million users using Flask, Heroku.
  • Added custom functionality to integrate with Todoist.

(09/2020 - 05/2020)

  • Led development for community-oriented educational platform, connecting students to peer tutors, forums, and course-specific help.
  • Managed and guided team of 8 for over 5 months to develop software and outreach strategies.
Beatris: An Evil Tetris – Data Science Lab Final Project

(11/2019 - 12/2019)

  • Augmented existing Tetris AI implementation to improve average score by over 840%.
  • Designed Deep-Q Network based AI that gives players the least optimal piece, reducing player score by over 85%.
  • Medium blog post published at [].
Automated Table Management System – The Walt Disney Company Datathon Project


  • Prototyped an interactive dashboard to service real-time reservations and walk-ins. (Python, Dash)
  • Designed algorithm to optimize waiter load balancing and reduce wasted seats, lowering Guest wait-times by 62%. (Python)
TANKS Real-Time Strategy Videogame – Introduction to Embedded Systems Final Project

(03/2018 - 05/2018)

  • Designed a chatroom program in Java supporting individual and group messaging among multiple users across a network.
  • Applied asynchronous processing, networking protocols, frontend interface design, backend server routing mechanisms.
Chatroom Software – Software Engineering II Final Project

(11/2018 - 12/2018)

  • Developed hardware & software systems for videogame on the TI TM4C123 microcontroller. (C++, Assembly)
  • Implemented physics engine, graphics framework, procedural stage generation, and UART communication protocol.