Rajath Salegame

Rajath Salegame

Machine Learning Engineer @ Normal Computing

About Rajath Salegame

Rajath Salegame is a Machine Learning Engineer with a background in physics and applied mathematics from Harvard University. He has held various research and engineering positions at notable institutions, including PostEra, NASA, and Goldman Sachs.

Current Role at Normal Computing

Rajath Salegame is currently employed as a Machine Learning Engineer at Normal Computing. He has been in this role since 2023, contributing to various projects in New York, New York. His work focuses on developing and implementing machine learning algorithms and models to enhance the company's technological capabilities.

Previous Experience at PostEra

Prior to his current position, Rajath worked as a Machine Learning Researcher at PostEra from 2020 to 2021. During his nine-month tenure in San Francisco, California, he engaged in research that aimed to advance machine learning applications in the field of drug discovery.

Educational Background at Harvard University

Rajath Salegame studied at Harvard University, where he earned an A.B. in Physics and an S.M. in Applied Mathematics. His academic background provided a strong foundation in quantitative analysis and problem-solving, which he applies in his professional roles.

Research Roles at Harvard University

Rajath held several research positions at Harvard University. He served as an Undergraduate Researcher from 2017 to 2018 and again from 2020 to 2021. Additionally, he worked as a Teaching Fellow in 2020. These roles involved conducting research and assisting in academic instruction, contributing to his expertise in machine learning and computational physics.

Internships and Early Career Experience

Rajath gained valuable experience through various internships. He interned at NASA Jet Propulsion Laboratory as a Computational Physics Intern in 2019. He also completed internships at Goldman Sachs and DRW in 2020 and 2021, respectively, focusing on quantitative research. These positions helped him develop skills in data analysis and algorithm development.

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