Hi, my name is
Rowan Ramamurthy.
I build Robots.
I’m a Roboticist, specializing in building AI driven autonomous agents and control systems for any situation. Currently, I’m focused on completing a master's degree at Georgia Tech.
About Me
My name is Rowan and I am a full-stack software, mechatronics and robotics engineer with the aspiration of one day making inexpensive solutions for autonomous agents and enhancing human capability through technology. My interest in innovation and problem solving was driven from witnessing the profound impact of technology in developing communities for solving both existing and unforseen challenges.
I honed my skills through diverse projects and research during my undergrad degree, a start-up, a specialised defence contractor, and now my grad degree. My experiences have shaped the way I approach and engage in complex engineering challenges , such as developing drones for the DARPA Subterranean Challenge and algorithmic solutions for feature-based autonomous exploration. My most recent experience as a software engineer, I was involved in developing advanced simulations and machine learning models for tactical training applications.
These roles have equipped me with robost software design skills and a keen understanding of real world applications. My drive to deepen my knowledge in AI and machine learning draws me to Georgia Tech and I am eager to see where my journey takes me from here.
Here are a few technologies I’ve been working with recently:
- ROS
- C++
- C
- Python
- Assembly
- OpenCV
- Pytorch
- Tensorflow
- CAD
- Open3D
Rowan Ramamurthy
Robotics Engineer
Grad Student @ Georgia Tech
Atlanta, GA
rowrama99@gmail.com
Where I’ve Worked
Graduate Research Assistant @ Advanced Manufacturing Pilot Facility
February 2025 - Current
- Leveraging robotic automation to seamlessly integrate additive and subtractive manufacturing techniques, enhancing precision and efficiency in advanced manufacturing workflows
- Developing and optimizing robotic systems to automate complex manufacturing processes, including 3D printing (additive) and CNC machining (subtractive), for rapid prototyping and production scalability
- Implementing hybrid manufacturing solutions that combine material deposition and removal, enabling the creation of intricate components with reduced waste and improved operational flexibility
Where I Studied
Aug 2024 - May 2026
Feb 2017 - Dec 2021
Feb 2017 - Dec 2021
Some Things I’ve Built
Featured Project
Emesent Gimbal
A custom top-mounted gimbal payload developed for the DARPA Subterranean Challenge. This payload was used for localisation and identification of objects within the environment, independent of the drones autonomous navigation systems.
- Control Systems
- CAD
- 3D-Printing
- ROS
- C++
- Embedded Systems
Featured Project
EM Propgation Simulation
Electromagnetic signal when travelling around the earth are subject to environmental phenomenon like ducting, this simulation allowed the prediction of coverage and connectivity of different transmitters and recievers over the horizon allowing for the customisation of atmospheric profiles.
- C++
- C#
- Physics
Featured Project
Level 4 Autonomy Solution
An autonomous exploration framework for identifying significant features which have the highest probability of being the purpose of an exploration task in industrial environments. In this situation, it was determining the likelihood of some partially explored telecomunication tower and maximising exploration, point cloud desity and completion of these features.
- Python
- C++
- Gazebo
- OpenCV
- Open3D
- SLAM
Other Noteworthy Projects
view the archiveKnight Isolation AI - ID Alpha-Beta Pruning
Building a competitive AI model to play knight isolation using iterative deepening and alpha beta pruning to achieve top 10 in the final competition.
Multivariate Gaussian Mixture Modeling
Implemented a k-means filtering algorithm and multivariate gausian mixture model (GMM) solution for clustering colours in an RGB source image. THe bayes information criterion was then used to optimise the number of training parameters.
Decision Tree Learning
Implemented a learning framework for decision trees using gini gain and gini impurity for optimisation. The effectiveness of this solution was then compared against using random forests on features like precision, accuracy and recall.
Sign Language Interpreter
Implemented a Hidden Markov Model (HMM) for interpretation of movements in the right hand and thumb for prediction of the type of word that is being mentioned in a video.
Bayes Net Sampling
Implemented Gibbs sampling and Metropolis Hasting's sampling as solutions for Bayesian Network inference to compare performance of the different probabilistic methods
Delinquency Report Automation
Building automation tools for spreadsheets and cloud based resources using the Google API. Overall increasing the efficiency of delinquency systems significantly.
What’s Next?
Connect With Me
Always on the lookout for any new opportunities, my inbox is always open! Whether you have a question or just want to have a chat, I will try my best to get back to you!
Say Hello