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Avi Tomar

Computer Scientist

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About Me

Avi has completed B.Sc in Physical Science from Acharya Narendra Dev College(University of Delhi). He completed M.Sc Computer Science specialization in Artificial Intelligence from the central university of Rajasthan. He is currently enrolled in MS by research at IIIT Bangalore. He is fueled by his passion for understanding the fundamental laws of the universe and machine learning. He is always hungry and determined for new challenges in life as well as work. He worked at SPIE Chapter, ANDC as a member where he visited many Delhi schools and taught high school and intermediate basic optics. Avi believes mindfulness in the workplace is the key to success hence, he is not only visualizing the problem in the jupyter notebook but also getting hands-on guitar and harmonica.

Experience

SWS Technologies

Software Development Intern

I was given assignments encompassing analysis of data generated by Automotive ECU, and development of related Software Modules.

SPIE Chapter

Web Administrator and Member

As a Web admin i kept all ANDC fellow and outside people attached with SPIE chapter informed and updated. As a member we visited many delhi schools to take 2-3 hours of demonstration of optics law using kit designed by SPIE Chapte, ANDC.

Education

International Institute of Infromation and Technology Bangalore

August 2020 -

MS by Research

  • Computer Science
  • GPA: /4

    • Central University of Rajasthan

    July 2017 - May 2019

    Masters of Science in Computer Science

  • Specilization in Artifical Intelligence
  • CGPA :- 7.1/10

    • University of Delhi

    July 2012 - June 2015

    Bachelor of Science in Physical Science

  • Major Subjects: Physics, Mathematics and Computer Science
  • Percentage :- 71.1%

    • Projects

    Anomaly Detection

    Two task : Given credit card transaction from the european dataset predicted the transaction is fraud or legitmate. Builded up the mechanical system and Flask app to monitor the system and detect anomaly in mechinal system.

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    Face Recognition Application

    Android app deployed on AWS takes photo as Input and compares with existing data using KNN algorithm and tells where person is identified or not.

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    Predicting the Habitat of Bacteria using its Proteome

    Analyzed how contents of protein structure affect the habitat of bacteria and developed a machine learning model to predict habitat of bacteria from its proteome.

    View Project

    Skills

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