Open to opportunities

Kaushik Koneripalli Seetharam

@kaushikkoneripallise

Message

Scientific Machine Learning Researcher specializing in AI and optimization.

India

Message

What I'm looking for

I seek a collaborative environment that fosters innovation and growth, focusing on impactful AI projects.

As a dedicated Scientific Machine Learning Researcher at Shell Technology Center, I focus on developing innovative AI solutions that enhance reservoir engineering and optimize complex processes. My recent projects include creating a fast AI simulator for reservoir dynamics and a document search engine utilizing Large Language Models. My work has led to significant advancements in efficiency, achieving up to a 75x speedup in simulations.

With a strong foundation in Electrical Engineering from Arizona State University and extensive experience in multimodal AI and computer vision, I have contributed to various high-impact projects, including detecting trojans in deep neural networks and generative modeling for 3D designs. My research has been recognized at prestigious conferences, and I am passionate about leveraging AI to solve real-world challenges.

Experience

Work history, roles, and key accomplishments

Current

Scientific Machine Learning Researcher

Current

Shell Technology Center

Sep 2023 - Present (1 year 10 months)

Leading the development of AI simulators and models for reservoir engineering, including a fast AI simulator and various LLM-based projects. Spearheaded implementation aspects, including data curation, model training, and optimization algorithms.

Pytorch Lightning Data Modeling Optimization

Computer Scientist II

SRI International

Aug 2021 - May 2023 (1 year 9 months)

Worked on multimodal AI projects, including detecting trojans in deep neural networks and generative modeling for 3D designs. Developed data generation pipelines and implemented advanced AI techniques for various applications.

Data Generative Models Neural Networks AWS Jenkins

Research Engineer II

Siemens Technology

Oct 2019 - Sep 2021 (1 year 11 months)

Conducted research on machine learning for novel material discovery and computer vision projects, implementing advanced algorithms and evaluation metrics. Contributed to multiple DARPA projects and published research papers.

Computer Vision Metrics Machine Learning

Education

Degrees, certifications, and relevant coursework

Arizona State University

Master of Science, Electrical Engineering

2017 - 2019

Pursued a Master of Science in Electrical Engineering, focusing on advanced electrical systems, signal processing, and machine learning applications in engineering.

PES Institute of Technology

Bachelor of Engineering, Telecommunication Engineering

2013 - 2017

Completed a Bachelor of Engineering in Telecommunication Engineering, covering topics such as communication systems, network design, and signal processing.