Chinmaya Srivatsa

Chinmaya Srivatsa

Research Intern

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  • Timeline

  • About me

    Machine Learning | Data Science | Computer Vision | Deep Learning

  • Education

    • North Carolina State University

      2022 - 2024
      Master of Science - MS Electrical Engineering 4.0/4.0
    • PES University

      2017 - 2018
      Bachelor's degree Minor in Computer Science Engineering
    • Delhi Public School - Bangalore South

      2010 - 2014
      High School 9.8 CGPA
    • PES University

      2016 - 2020
      Bachelor of Technology - BTech Electrical, Electronics and Communications Engineering
    • Jain (Deemed-to-be University)

      2014 - 2016
      Pre University Physics, Chemistry and Maths, 98%
  • Experience

    • ISRO - Indian Space Research Organisation

      Jul 2019 - Aug 2019
      Research Intern

      ● Implemented image registration techniques in MATLAB for computer vision based velocity estimation in Satellites and Landers, at the Laboratory for Electro-Optics Systems (LEOS) of ISRO.

    • Defence Research and Development Organisation (DRDO)

      Jan 2020 - May 2020
      Project Trainee

      ● Researched the generation of synthetic aperture radar (SAR) images using Generative Adversarial Networks (GANs) at the Electronics and Radar Development Establishment (LRDE) of DRDO resulting in a research publication in the Springer Nature Computer Science Journal. (https://doi.org/10.1007/s42979-020-00364-z)● Researched and implemented the classification of synthetic aperture radar (SAR) images by building Densely Connected Networks (DenseNets) in Keras and TensorFlow, achieving an accuracy of 97.91% on the MSTAR dataset Show less

    • RubyPixels Pvt. Ltd.

      Jun 2020 - Jul 2022

      ● Built a vision based online proctoring solution in Python using PyTorch and YOLOv5 for suspicious object detection in the user’s frame, FastAPI and Docker for its containerized deployment and AWS S3 buckets for storage, providing over 20,000 hours in automated invigilation per month.● Created a lead scoring and ranking system in Python utilizing the demographic data of customers by training a Random Forest model, achieving an F-1 score of 94.61 and increasing the total sale conversion rate by over 50%.● Devised and executed a data backup strategy for Elasticsearch indices by writing Python scripts to run a dockerized Elasticdump tool resulting in timely backups of over 2 TB of API logs per month.● Mentored a team of 5 interns on the fundamentals of Python, Applied Machine Learning, Deep Learning, Data Analysis, Model Deployment, Statistics and Software Design. Show less ● Developed an adaptive content recommendation system on a learning management system. Built it in Python leveraging spaCy for natural language processing tasks, Apache Solr for the search engine and ranking, and Flask and Docker for its deployment, providing users dynamic assistance for interactive learning, resulting in a 1000% growth in the number of total users.● Designed and Implemented an automated attendance monitoring system for classrooms in Python utilizing Google FaceNet and Deepface, saving over 3,000 hours on average per year.● Grew the company Postgres repository by 100x, increasing it to over 100 million records by automating data ingestion pipelines which involved scheduling Cron jobs in AWS EC2 Linux instances to run Selenium scripts, web scraping and public data API scripts. Show less

      • Senior Data Scientist

        Jan 2022 - Jul 2022
      • Data Scientist

        Jun 2020 - Jan 2022
  • Licenses & Certifications