Hi there

Rohit
Bernard

Founding Engineer · EzDubs Acquired by Cisco YC W23

San Francisco, CA 2+ yrs Founding Eng MS CS, USC
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Rohit Bernard
About

Who I am

I'm a software engineer and founding engineer at EzDubs (YC W23), an AI-powered translation and dubbing startup acquired by Cisco. I have a deep passion for building at the intersection of machine learning and real-world systems — from multilingual AI products to autonomous drones and self-driving vehicles. I hold an MS in Computer Science from USC, where I specialized in computer vision, reinforcement learning, and autonomous cyber-physical systems.

Skills

What I work with

Languages
Python C++ JavaScript Swift Kotlin Java Dart MATLAB HTML/CSS
ML & AI
PyTorch TensorFlow Keras OpenCV OpenAI Gym Stable-Baselines
Robotics & Sim
ROS Carla Simulink Arduino
Platforms & Tools
Flutter Node.js Express.js Flask MongoDB Docker Git Linux
Experience

Where I've worked

Oct 2023 – Present
EzDubs (acquired by Cisco)
Founding Engineer San Francisco, CA · Hybrid
  • Lead the development of cutting-edge AI-powered translation and dubbing software, driving innovation in multilingual communication technology.
  • Architect and implement EzDubs' cross-platform mobile application, enabling seamless multilingual messaging and calling experiences for users worldwide.
  • Collaborate with a fast-paced team to optimize performance, enhance user experience, and scale the application for a growing user base.
Jun 2023 – Oct 2023
Siemens AG
Research Intern – Safety and Verification of Intelligent Systems Princeton, NJ · On-site
  • Design and build a perception system using a deep neural network to perform monocular 3D object detection and track objects in a warehouse setting.
  • Communicate with other localization systems using ROS to identify inconsistencies in position estimates and detect failures.
Jun 2022 – May 2023
University of Southern California
Graduate Student Researcher Los Angeles, CA · CPS-Vida Group · Advisor: Prof. Jyotirmoy V. Deshmukh
  • Train and integrate a deep neural network to perform monocular 3D object detection for a perception system.
  • Create a RL testing platform by integrating autonomous driving software with the Carla simulator.
Mar 2021 – Jul 2021
Practo
SDE Intern – Mobile (iOS) Bengaluru, India
  • Built new features, made design changes, improved usability, and fixed bugs in Practo's iOS application.
  • Developed and maintained iOS applications in Swift, collaborating within a large mobile team.
Jun 2018 – Aug 2018
Mezzlink Systems Pvt. Ltd.
Backend Developer Intern Bengaluru, India
  • Developed APIs for a machine learning application using Express.js.
  • Worked with MySQL databases and REST APIs to process and store data from a ML model.
Education

Where I studied

Aug 2021 – May 2023
University of Southern California
Master of Science, Computer Science · GPA: 3.78 Los Angeles, CA

Advanced Computer Vision, Analysis of Algorithms, Autonomous Cyber-Physical Systems, Foundations of Artificial Intelligence, Applied Natural Language Processing, Holodecks

Aug 2017 – May 2021
Dayananda Sagar College of Engineering
Bachelor of Engineering, Computer Science · GPA: 9.45/10 Bengaluru, India

Data Structures, Object Oriented Programming, Machine Learning, Artificial Intelligence and Agent Technology, Internet of Things, Computer Networks

Projects

Things I've built

Gesture Controlled Swarm

Individual project for CSCI 599 – Holodecks at USC.

Uses drones to render a 3D point cloud manipulated entirely by hand gestures. Built on USC ACT lab's Crazyswarm — a Python API for controlling a swarm of Crazyflie 2.0 miniature quadcopters.

Details
Posture Coach

Capstone project for the Bachelor's of Engineering in Computer Science at Dayananda Sagar College of Engineering.

A cross-platform mobile app that uses the device camera to detect exercise pose in real time, providing personalized recommendations to improve form and prevent injury.

Details
Mapping Fires using a Drone Swarm

Group project for CSCI 513 – Autonomous Cyber Physical Systems at USC.

Explores using a swarm of UAVs to autonomously search for and map a spreading fire in real time, giving firefighters ground-truth intelligence via a 2D grid-world simulation.

Details