Currently:

Artificial Intelligence Engineer Intern At RTI International

Education:

August 2018 - May 2020 North Carolina State University Master of Science in Electrical Engineering (With Focus on Signal Processing and Computational Intelligence) [GPA: 3.59/4.0]

August 2014 - July 2018 Easwari Engineering College Bachelors of Engineering in Electronics and Communication Engineering [GPA: 8.01/10.0]

Experience:

February 2019 - Current Artificial Intelligence Intern, RTI International

  • Developing Azure Pipelines to automate Machine learning process: Worked on setting up a fully scaledMLops pipeline for automating machine learning tasks at Lab58.

August 2019 - December 2019 Data Science Consultant, NCSU Libraries

  • Consultation regarding Data Science tools and Functions: Guide students and patrons of the University Libraries regarding Data visualization, Predictive modelling and in-person consultation regarding python programming.
  • Specialized solutions provider: Providing technical Expertise and consultation to graduate and undergraduate students in elds like Computer Vision, Natural Language Processing and Neural Networks.

June 2019-August 2019 Artificial Intelligence Intern, RTI International

  • Visual People Engagement: Developed a functional code that analyses the engagement of people ( i.e., how they react to a survey and their opinion) by recognition of Emotions. Dataset was created with help of various open-source images and explored the options of introducing synthetic data for better training.

  • People Tracking using Kalman Filter: Prepared a model capable of detecting an individual in a given frame of a video, and effectively track them through the frames in real time. Trained the model for over 40000 iterations using Tensorflow GPU. Overcame ‘nan’ loss error by incorporating exponential learning rate decay.

  • Speech to Text on survey videos with a dockerized application: Constructed a standalone Docker Container that takes in a video and Email-ID and sends the user a customized report based on the speech to text translation service from Microsoft Cognitive services.