Dhivya Sreedhar

Hi! I hope you’re having a good day. This is my website, which has some information about me and my life. Check it out!

Education

Anna University, Chennai, India

Bachelor of Engineering - BE, Computer Science

2018 - 2022

Grade: First Class with Distinction

Relevant Coursework:

  • Object Oriented Programming
  • Design and analysis of algorithms
  • Linear Algebra and Partial Differential Equations
  • Probability and Random Processes
  • Operating Systems
  • Cloud Computing
  • Soft Computing
  • Database Management Systems
  • Principles of Management

Activities and societies:

  • Undergraduate researcher
  • Department Coordinator of Vulcans ( Cultural club)
  • RETWEET (Inter-college Cultural Team)
  • Department Head of Youth Red Cross
  • Member of the Department Design Team

Experiences

Download my Resume - resume

Corporate

Full Stack Developer - Zoho Corporation - August 2022 – Present Chennai, India

  • Part of the Manage Engine - Log360 Cloud OD Team Resolved numerous bugs and optimized code, resulting in a 150% performance improvement in a module.
  • Developed a feature serving as a framework for all application modules, demonstrating advanced knowledge of generalization and scalability.
  • Contributed to a product serving millions of customers, directly impacting their experience through developing a key feature.

Programmer Analyst Trainee Intern - Cognizant Technology Solutions - January 2022 – August 2022 Chennai, India

  • Part of the Artificial Intelligence and Analytics (AIA) - Informatica Cloud Team.
  • Used Informatica software to design data storage systems to provide clients with faster insight into their business.
  • Analyzed and tested Data warehousing techniques, ETL tools. Created various mappings using Infomatica Powercenter,IICS.

Research

Undergraduate Researcher - SRM Easwari Engineering College - May 2021 – December 2022 Chennai, India

  • Research intern under Prof. KPK Devan, Dept of Computer Science and Engineering:

  • Worked on a fake tweet detection system that detects fake tweets related to COVID 19
  • Extracted tweets related to COVID 19 using tweepy and the twitter API
  • Developed an LSTM based model to detect fake tweets using NLP

Summer Research Intern - NIT Calicut - June 2021 – July 2021 India Research intern under Prof. Prabu Mohandas, Dept of Computer Science and Engineering:

  • Worked on finding solutions for the challenging task of Music Instrument Recognition. Developed a model that labels unlabeled audio files so manual annotation can be avoided.
  • A Convolutional neural network and K nearest neighbors classifier framework were implemented to identify the musical instrument present in a monophonic audio file and the performance of the two models are compared.
  • The model performed well with excellent result of 99.17% accuracy for the Convolutional Neural Network and 97% accuracy for the k-nearest neighbor architecture. Worked on finding solutions for the challenging task of Music Instrument Recognition. Developed a model that labels unlabeled audio files so that manual annotation can be avoided.

Research Intern - Indian Institute of Information Technology Design & Manufacturing - May 2020 – May 2021 India

-Research intern under Dr. Sivaselvan B, Dept of Computer Science and Engineering:

  • Explored state-of-the-art deep learning based approaches for detecting forged facial images and videos. Delved into the evaluation metrics commonly used for assessing the performance of detection algorithms, highlighting their strengths and limitations.
  • Presented a comparative study of four popular deep learning architectures, DenseNet, MobileNet, Xception, and EfficientNet, for the detection of face forgery.
  • Conducted a comprehensive evaluation and comparison, to provide valuable insights for researchers and practitioners seeking to leverage deep learning models for face forgery detection.