# Madhu Korada

> AI/Robotics at Nimble, CMU | Physical AI | Ex-Research Engineer at Hi-Tech, CNHi | Computer Vision | AI

Location: San Francisco, California, United States
Profile: https://flows.cv/madhukorada

I am currently pursuing a Master’s degree in Robotics at Carnegie Mellon University. Previously I worked as a Research Engineer at The Hi-tech Robotic Systemz Ltd in Advanced driver-assistance systems (ADAS) and Mobile Robotics. 

My interests include Computer Vision, Deep Learning, Machine Learning, EdgeAI, Parallel Programming, Robot Perception, Sensor Fusion, Human-Robot Interaction, etc. I have extensively worked on Object Detection, Semantic Segmentation, Instance Segmentation, and Image Classification, like fundamental problems. 

I am very keen on application-driven research. Bringing fundamental research into real-world products has been my biggest motivation. 

Expertise:-  
* Programming languages - C++, Python, JavaScript, Matlab
* Deep learning frameworks - Pytorch, Tensorflow, Keras, Caffe, MACE, ArmNN, ONNX, TensorRT
* HPC - Parallel programming languages like CUDA, OpenCL
* MISC Libraries - OpenCV, Dlib, ROS
* Tools - Docker, Git, AWS
* Hardware - Jetson series, Snapdragon Dragonboard, Intel NCS 2, etc

## Work Experience
### Software Engineer 2, Robotics @ Nimble
Jan 2024 – Present | San Francisco Bay Area

### Research Engineer Intern @ Raven Industries
Jan 2023 – Jan 2023 | Arizona, United States

### Research Engineer @ The Hi-Tech Robotic Systemz Ltd
Jan 2019 – Jan 2022 | Gurgaon, Haryana, India
Team:- ADAS
★ Developed a novel HM-LSTM model to predict early drowsiness using blink features with 92% accuracy, optimized using TFlite, and deployed it using ArmNN on low-cost ARM hardware.
★ Improved speed of object detection models by 2.5X using quantization, pruning, and TensorRT without any accuracy loss. 
★ Created a MobileNetV3 backboned multi-branch network to detect vehicles and segment lanes simultaneously. 
★ Developed and deployed a Real-Time Traffic Light Detection model with 59% mAP for the autonomous driving shuttle.
★ Enhanced the speed of existing C++ based perception algorithms by 40X using CUDA C++. 
Integrated a RADAR to Novus Aware device to add a Forward Collision Warning feature. Created a Qt-based GUI tool to visualize objects from Radar, Improved collision warning to be robust using Bayesian filters.
★ Improved driving data collection pipeline using AWS IoT to be 60% more cost-effective. 
Constructed a real-time web streaming feature (WebRTC) for Novus Aware device to stream driving videos to clients.
★ Prototyped and devised 6 camera Surround View System (SVS) for commercial vehicles.

Team:- Mobile Robotics
★ Built a timed mission feature so that the robot could perform a specified task at a given time and integrated it with UI. 
★ Improved robot localization and loop closure by fusing an IMU using EKF to existing RTAB-Map localization.
★ Created an AR Tag detection algorithm to enable fiducial marker-based navigation for mobile robots. 
Designed various UI features for Robot fleet UI to enhance the user experience of clients using Ros2djs.

### Research Intern @ WABCO
Jan 2018 – Jan 2018 | Chennai Area, India
★ Developed an Object Detection model with 54% mAP to detect vehicles and pedestrians for Indian Scenarios. 
★ Dealt with class imbalance using Focal Loss and significantly improved object detection accuracy. 
★ Implemented a verification algorithm to efficiently validate objects from radar and camera with ground truth.

### Drone Engineer @ Student Copter Research Organization
Jan 2017 – Jan 2018 | Chennai, Tamil Nadu, India
Contributed in making one hexacopter and few quadcopters for drone racing competitions. Gained proficiency in CAD and Image processing.


## Education
### Master's degree in Robotic Systems Development (MRSD)
Carnegie Mellon University

### NYU Tandon Bridge in Computer Science
NYU Tandon School of Engineering

### Bachelor's degree in Mechatronics, Robotics, and Automation Engineering
SRM IST Chennai

### Government High School, Gudari


## Contact & Social
- LinkedIn: https://linkedin.com/in/madhu-korada

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Source: https://flows.cv/madhukorada
JSON Resume: https://flows.cv/madhukorada/resume.json
Last updated: 2026-03-29