Anish Thite - Personal Website

Anish Thite

Email: anishthite@gmail.com | Phone: (203) 909-9118 | Website: anishthite.github.io

Education

Georgia Institute of Technology, Atlanta GA

M.S. in Computer Science (Intelligence and Devices threads) - Expected May 2022

B.S. in Computer Science - May 2021

Overall GPA (B.S.): 3.78/4.00| Major GPA: 4.00/4.00

Skills

Languages: Python, Java, Rust, C, Scala, Bash, JS

Tools/OS: Git, AWS, GCP, Firebase, Docker, Linux, Windows, SQL, Slurm, CUDA

Frameworks: Flask, Django, React, PyTorch, TensorFlow, Numpy, Pandas

Experience

Amazon AWS Migrations Hub Team

Software Design Intern - Boston, MA (May 2021 - July 2021)

  • Working on a data generation service for testing AWS Migration Hub recommendations

Georgia Tech Research Institute

Graduate Research Assistant - Atlanta, GA (January 2019 - Present)

  • Creating General Adversarial Networks for waveform generation and simulation
  • Using genetic programming to evolve machine learning models with the GTRI Evolutionary Auto-ML Framework
  • Expanding the library to perform neural network architecture search (using Python, MySQL, Scikit-learn, Keras, Tensorflow)
  • Out-performed Google Auto-ML on the Wikidetox toxic comment classification dataset
  • Student Workshop Paper "Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification" accepted at GECCO 2021

The Agency (AI/ML Club)

External Relations Officer (President) - Atlanta, GA (January 2020 - May 2021)

  • Sys admin for club server, lecture on NLP topics, coordinate guest lecturers, and advise project groups

EleutherAI

Researcher/Software Engineer - Atlanta, GA (July 2020 - Present)

NLP and Computational Social Science Lab

Student Researcher - Atlanta, GA (November 2019 - Present)

  • Working under Dr. Diyi Yang on keyword-based neural humor generation and classification using transformers
  • Further study includes analyzing effects of humor on mental health and the COVID pandemic

High-Performance Architecture Lab

Student Researcher - Atlanta, GA (August 2019 - December 2019)

  • Researched in performing deep learning tasks on edge
  • Incorporated speech recognition and conversation models (cosine-similarity response matching) on Raspberry Pis