Raghav Avasthi

Machine Learning Engineer @ Lendbuzz

About Raghav Avasthi

Raghav Avasthi is a Machine Learning Engineer at Lendbuzz with extensive experience in computer vision, data science, and electronics and communication engineering.

Current Role at Lendbuzz

Raghav Avasthi currently serves as a Machine Learning Engineer at Lendbuzz in Boston, Massachusetts. He has been with the company since 2021. His role likely involves leveraging his extensive experience with machine learning libraries, data analysis tools, and cloud platforms to develop innovative solutions tailored to the company's needs.

Previous Experience at Broad Institute of MIT and Harvard

Raghav Avasthi worked as a Machine Learning Engineer I at the Broad Institute of MIT and Harvard from 2019 to 2021. During his two-year tenure in the Greater Boston Area, he applied his machine learning expertise to various projects, contributing to the institute's cutting-edge research in life sciences.

Educational Background

Raghav Avasthi holds a Master of Science in Computer Systems Engineering with a concentration in Internet of Things from Northeastern University, completed between 2017 and 2019. He also earned a dual degree—Master of Technology and Bachelor of Technology in Electronics and Communication Engineering—from Jaypee Institute of Information Technology, Noida, where he studied from 2012 to 2017.

Technical Skills and Expertise

Raghav Avasthi possesses a strong foundation in programming languages such as Python, Java, and C++. He is proficient in deep learning libraries like TensorFlow, Keras, and PyTorch, and has experience with cloud platforms including AWS EC2 and Google Cloud Platform. He is also skilled in data analysis using tools like MATLAB and Apache Spark, and has practical knowledge of micro-controllers and microprocessors such as Arduino and Raspberry Pi.

Research and Internships

Raghav Avasthi has completed research projects in computer vision and has internship experience in data science. Some of his notable roles include working as a Machine Learning Intern at the International Centre for Genetic Engineering and Biotechnology in 2017, where he spent four months in New Delhi, and a Project Intern at the Indian Institute of Technology, Delhi, for five months in the same year.

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