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Arjun Ramesh Kaushik Email & Phone Number

Research Assistant at University at Buffalo
Location: Buffalo, New York, United States 8 work roles 6 schools
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Role
Research Assistant
Location
Buffalo, New York, United States

Who is Arjun Ramesh Kaushik? Overview

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Arjun Ramesh Kaushik is listed as Research Assistant at University at Buffalo, based in Buffalo, New York, United States. AeroLeads shows a matched LinkedIn profile for Arjun Ramesh Kaushik.

Arjun Ramesh Kaushik previously worked as Data Science Intern at Magna International and Software Engineer II at Trilogy. Arjun Ramesh Kaushik holds Doctor Of Philosophy - Phd, Computer Science from University At Buffalo.

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University at Buffalo

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About Arjun Ramesh Kaushik

Arjun is a first-year Ph.D. candidate of Computer Science & Engineering Department, State University of New York at Buffalo, advised by Dr. Nalini Ratha and Dr. Venu Govindaraju. He received his B.E. degree in Electronics & Instrumentation at the Birla Institute of Technology and Sciences Pilani, Hyderabad, in 2021 and his M.S. degree in Computer Science from the State University of New York at Buffalo in 2024. His research interests lie in multimodal AI and privacy.Google Scholar - https://scholar.google.com/citations?hl=en&authuser=1&user=F4gJbXAAAAAJ

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Arjun Ramesh Kaushik's current company

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University at Buffalo
University At Buffalo
Research Assistant
Buffalo, NY, US
AeroLeads page
8 roles

Arjun Ramesh Kaushik work experience

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Research Assistant

Current

Buffalo, New York, United States

- Image Generation: Working on generating images from brain waves (EEG / MEG) using an alignment module and diffusion models.- Vision-Language Models (Sports Analytics): Ongoing work on developing a multi-modal model for real-time commentary generation (dense video captioning) in soccer videos using a Retrieval Augmented Generation (RAG) architecture and.

Nov 2022 - Present

Data Science Intern

Troy, Michigan, United States

- Designed, developed, and deployed a multi-modal physical-task assistance system. Generates textual and visual instructions based on user query and additional context from Knowledge DB (through RAG) to help solve industrial tasks. Building blocks – Llama3.1, LLaVA, CLIP, Whisper, Streamlit.- Contributed to a repository-level CodeLLM framework to.

Jun 2024 - Aug 2024

Software Engineer Ii

- Operated as an independent full-stack developer in a remote setting, focusing on enhancing the functionality and appearance of the company's website.- Crafted comprehensive solutions using C#, AngularJS, Java, and SQL, demonstrating a strong analytical and problem-solving ability, which improved website functionality and user experience.- Established.

Sep 2021 - May 2022

Machine Learning Research Intern

University Of California, Irvine

- Engaged in a remote research role within the Zhang Lab, focusing on the development and application of machine learning models to address complex data segregation and privacy concerns.- Pioneered a Centralized Federated Variational Autoencoder model using the Federated Averaging algorithm, facilitating the segregation of data into 5 distinct clusters.

May 2021 - Jan 2022

Software Engineer I

Mumbai, Maharashtra, India

- Engaged in a dynamic 3-member team, innovatively applying ReactJS, Java, and MySQL to replicate the Monopoly board game into real-life banking scenarios, enhancing the user experience through the development of REST APIs.- Identified and resolved a critical issue of webpage crashing due to concurrent users, leading to improved system stability. Further.

Feb 2021 - Aug 2021

Intern

Chennai, Tamil Nadu

- Guided a team of seven in the development and implementation of a voice interactive web app for Rajiv Gandhi Government General Hospital, focusing on streamlining doctor appointments and patient guidance.- Programmed as a full-stack developer for end-to-end development of the web app, utilizing HTML, CSS, JavaScript, and Python, which included the.

May 2019 - Jul 2019

Machine Learning Intern

Bengaluru, Karnataka, India

Contributed to the development of a face recognition system. Computed Local Binary Patterns over face regions and utilized a Support Vector Machine for precise classification of genuine and counterfeit faces

Jun 2018 - Jul 2018
6 education records

Arjun Ramesh Kaushik education

Masters, Computer Science, 3.71 / 4.0

Coursework - Reinforcement Learning, Machine Learning, Computer Vision, Natural Language Processing, Deep Learning, Sports Analytics.

Bachelor'S Degree, B.E. (Hons) Electronics And Instrumentation Engineering

Activities and Societies: Vice Captain - Soccer Team

Physics, Chemistry, Math And Electronics

Vidya Vardhaka Sangha Sardar Patel Pu College
FAQ

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What company does Arjun Ramesh Kaushik work for?

Arjun Ramesh Kaushik works for University at Buffalo.

What is Arjun Ramesh Kaushik's role at University at Buffalo?

Arjun Ramesh Kaushik is listed as Research Assistant at University at Buffalo.

Where is Arjun Ramesh Kaushik based?

Arjun Ramesh Kaushik is based in Buffalo, New York, United States while working with University at Buffalo.

What companies has Arjun Ramesh Kaushik worked for?

Arjun Ramesh Kaushik has worked for University At Buffalo, Magna International, Trilogy, University Of California, Irvine, and Jpmorgan Chase & Co..

How can I contact Arjun Ramesh Kaushik?

You can use AeroLeads to view verified contact signals for Arjun Ramesh Kaushik at University at Buffalo, including work email, phone, and LinkedIn data when available.

What schools did Arjun Ramesh Kaushik attend?

Arjun Ramesh Kaushik holds Doctor Of Philosophy - Phd, Computer Science from University At Buffalo.

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