# Rahul K.

> Senior Engineer at Qualcomm

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

As a robotics graduate student at University of Maryland specializing in computer vision, natural language processing, and deep learning, I've spent the past 3+ years honing my skills in industry. I've worked on exciting projects such as 3D depth reconstruction, ADAS systems for truck fleets, and vision-based quality control systems.

With expertise in ROS(2), C++, OpenCV, PCL, Open3D, and MATLAB, I excel in 2D/3D object detection and tracking, scene understanding, 3D reconstruction, camera calibration, and morphological operations. I'm also skilled in natural language processing, including machine translation, code generation, topic modeling, and chatbot development.

My dynamic enthusiasm and close attention to detail pave the path for excellence in collaboration with agile teams programming in C++ and Python. I love working with people and aim to contribute to the well-being of the community with everything I do.

See what I've been working on lately at https://github.com/karanamrahul.

## Work Experience
### Senior Engineer @ Qualcomm
Jan 2026 – Present

### Robotics Software Engineer @ Roboteon, Inc.
Jan 2024 – Jan 2026

### Robotics Software Developer @ Jacobi Robotics
Jan 2023 – Jan 2023 | Berkeley, California, United States

### Graduate Teaching Assistant @ University of Maryland - A. James Clark School of Engineering
Jan 2021 – Jan 2023 | College Park, Maryland, United States
ENPM808Y :  Artificial Intelligence and Machine Learning (Spring 2023)

MATH240 : Linear Algebra (Fall 2022)

ENME202 : Computing Fundamentals ( C++ ) Spring 2022

MATH461 : Applied Linear Algebra (Fall 2021)

### Computer Vision Engineer @ Jugaad Lab
Jan 2022 – Jan 2022 | Philadelphia, Pennsylvania, United States
• Developing integrated ADAS systems for semi tractor‑trailer fleet vehicles with the goal of increased driver safety and efficiency by utilizing modern machine learning, artificial intelligence, and computer vision methods
• Designed streamlined prototype ROS network for deployment on edge computing devices in conjunction with a sensor suite
• Integrated, adapted, and evaluated state‑of‑the‑art neural networks for real‑time object detection and tracking from multiple camera feeds
• Developed sensor fusion approaches to build a cohesive and analysable world model of the subject vehicle’s surroundings

### Graduate Research Assistant @ University of Maryland
Jan 2022 – Jan 2022 | College Park, Maryland, United States
Conducted research on computer vision problems, including 3D reconstruction  , object detection and camera calibration for automated crab meat removal.

Developed a custom optical line scanning laser system for 3D depth reconstruction of crabs.

### Robotics Engineer @ Apollo Tyres Ltd
Jan 2018 – Jan 2021 | India

### Research Associate Intern @ Great Game India
Jan 2018 – Jan 2018 | Hyderabad, Telangana, India

### Engineering Intern @ Central Institute of Tool Design - India
Jan 2017 – Jan 2017 | Hyderabad Area, India


## Education
### Master of Engineering in Robotics
University of Maryland - A. James Clark School of Engineering
Jan 2021 – Jan 2023

### Bachelor of Technology - BTech in Mechatronics
SRM IST Chennai
Jan 2014 – Jan 2018


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

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Source: https://flows.cv/rahulk
JSON Resume: https://flows.cv/rahulk/resume.json
Last updated: 2026-03-23