Amirtha Varshini A S

Machine learning scientist at Montai Health

Amirtha Varshini A S has a diverse work experience spanning multiple industries and roles.

Amirtha Varshini'smost recent position is as a Machine Learning Scientist at Montai Health, starting in 2023.

Prior to that, they worked as a Graduate Student Researcher at the Robot Autonomy and Interactive Learning (RAIL) lab from September 2022 to May 2023. In this role, they focused on developing explainability for a dynamic and generative graph neural network (GNN) for spatio-temporal object tracking. Amirtha Varshini experimented with saliency methods, attention weights, and GNNExplainer to explain the model's predictions.

Amirtha also has experience as a Graduate Teaching Assistant at the College of Computing at Georgia Tech from August 2021 to May 2023. During this time, they contributed to research projects focused on computer vision tools for analyzing non-verbal communication in interview scenarios. Amirtha Varshini trained Hidden Markov Models (HMM) and K Nearest Neighbours (KNN) models for head gesture detection and experimented with Multi CONV-LSTM models using AMI Meeting corpus.

Furthermore, they have prior experience as a Software Development Engineer (SDE) Intern at Amazon Global Robotics from May 2022 to August 2022. In this role, they performed object tracking on segmented shipping labels and developed a novel method using Augmented Reality (AR) to identify packages based on hologram collision.

Amirtha has also worked as a Software Engineer at Qualcomm from November 2019 to August 2021. Amirtha Varshini developed the Minidump feature, reducing download time and dump size, as well as parsers for the QNX SDP 710 using Python 3. Prior to that, they were an Associate Software Engineer, where they worked on software bring-up for new Qualcomm SOC and developed debugging tools for internal QNX teams.

Additionally, Amirtha holds experience as a Contributing Writer at Hacker Noon, a Social Media Marketing Intern at One Million by One Million (1M/1M), and as the Head of Web Operations at PROBE, NIT Trichy. Amirtha Varshini also worked as a Software Intern at Microland Limited and Extreme Networks.

Overall, Amirtha Varshini A S has a strong background in machine learning, computer vision, software development, and research. Amirtha Varshini'sexperiences demonstrate their versatility and ability to contribute to diverse projects and teams.

Amirtha Varshini A S completed their education history as follows:

From 2021 to 2023, they pursued a Master's degree in Computer Science from the Georgia Institute of Technology.

Between 2014 and 2018, they attended the National Institute of Technology, Tiruchirappalli, where they obtained a Bachelor of Technology (BTech) in Electronics and Communications Engineering.

Prior to their higher education, from 2002 to 2014, they attended Srimathi Sundaravalli Memorial School, where specific degrees and fields of study are not provided.

In addition to their formal education, they also obtained various certifications. Amirtha Varshini completed the "Introduction to Augmented Reality and ARCore" course from Coursera in May 2022. In September 2021, they obtained the "RCR Basic Course" certification from the CITI Program. In June 2021, they completed the "Deep Learning Specialization" course from Coursera. Amirtha Varshini also obtained the "Machine Learning" certification from Coursera in September 2019. Furthermore, they received the "Guy Kawasaki on Entrepreneurship" and "Sramana Mitra on Bootstrapping" certifications from LinkedIn in July and June 2018, respectively. Lastly, in September 2021, they obtained the "Group 2 Social / Behavioral Research Investigators and Key Personnel" certification from the CITI Program.

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Timeline

  • Machine learning scientist

    July, 2023 - present