# Sakthi Kumar Arul Prakash

> Machine Learning Engineer @ Artian AI | Postdoctoral Research Associate @ Machine Learning Department at CMU | PhD in Mechanical Engineering

Location: Brooklyn, New York, United States
Profile: https://flows.cv/sakthi

Experienced researcher with a demonstrated history of publishing impactful ideas. I work with academic and industry leaders, as well as lead and learn alongside engineering students in research projects spanning multiple domains. I am very interested in imagining and thinking about problems from a graphical perspective using tools such as graph neural networks and probabilistic graphical models. Always looking for challenging problems in the pursuit of creating impact and contributing to technology. I love to learn, teach, self-teach, think about real-world problems and create solutions.

## Work Experience
### Software Engineer - AI/ML @ Artian AI
Jan 2024 – Present | New York, New York, United States

### Postdoctoral Research Associate @ Machine Learning Department at CMU
Jan 2023 – Jan 2024 | Pittsburgh, Pennsylvania, United States
-Worked on discovering causal and symbolic structures from particle and mesh-based physics simulations.
-Worked on a Humanoid Face Robot project, solving the problem of optimal actuator placement and motor control to enable a Face Robot to enact natural facial movements.

### Graduate Research Assistant @ Carnegie Mellon University
Jan 2019 – Jan 2023 | Pittsburgh, Pennsylvania, United States
-Worked on graph representation learning techniques for improving accuracy in downstream tasks such as node classification and link prediction.
-Knight Fellow at the IDeaS Center.
-Worked on utilizing Graph based ML techniques such as Graph Neural Networks and Probabilistic Graphical models to learn generalizable physics simulators as well as accelerate the speed of computing simulations.

### Graduate Research Assistant @ Penn State University
Jan 2017 – Jan 2019 | State College, Pennsylvania Area
-Developed an unsupervised computer vision model that enables the detection of system compromise in additive manufacturing equipment.
-As part of a research grant from The Bill and Melinda Gates Foundation, I've worked on the development of a non-contact vision based algorithm capable of estimating physiological signals such as heart rate from a diverse adult population.
-Led a student team with undergraduate and graduate students to scale the non-contact physiological estimation algorithm to work on mobile platforms such as Android and iOS as well as a web application (https://www.videovitals.org/).
-Led a student team to develop a computer vision model that performs human tracking and following. The model was deployed on a commercial drone to use its camera to follow human movement at various speeds.


## Education
### Doctor of Philosophy - PhD in Mechanical Engineering
Carnegie Mellon University
Jan 2019 – Jan 2023

### Master of Science - MS in Industrial Engineering
Penn State University
Jan 2016 – Jan 2019

### Bachelor of Engineering - BE in Mechatronics Engineering
Kumaraguru College of Technology
Jan 2012 – Jan 2016

### High School/Secondary Diplomas and Certificates
Montfort Secondary School
Jan 2007 – Jan 2012


## Contact & Social
- LinkedIn: https://linkedin.com/in/sakthi-kumar-arul-prakash-14553a122

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Source: https://flows.cv/sakthi
JSON Resume: https://flows.cv/sakthi/resume.json
Last updated: 2026-04-01