Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

Pirathiish Rajasegaran

Chennai

Summary

Recent graduate with excellent research, technical, and problem-solving skills. Detail-oriented and able to learn new concepts quickly.

Overview

1
1
year of professional experience
1
1
Certification

Work History

AI Intern

CITTAA Health Services Pvt.Ltd
Chennai
07.2023 - 10.2023
  • Utilized AI tools for web scraping, data cleaning, and text analytics to uncover potential areas of improvement for products.
  • Collaborated in the creation of a mental health chatbots for a startup, implementing deep learning and NLP techniques.
  • Effectively integrated AI/ML models into applications by working closely with engineering teams and leveraging Python libraries like TensorFlow and Keras.

AI Intern

SmartKnower
Chennai
06.2022 - 08.2023
  • Engaged in a dynamic online internship focused on training aspiring students in Artificial Intelligence principles, methodologies, and applications.
  • Completed projects, including building a CNN for image classification, demonstrate strong analytical and problem-solving skills.

Education

B.Tech - Computer Engineering Specializing in AI and ML

Vellore Institute of Technology
Chennai
05-2024

High School - CLASS XII

Doveton Boys' Hr Sec School
05.2020

Skills

Programming Languages

  • Python Programming
  • Java

Frameworks

  • TensorFlow, Keras and PyTorch

Tools

  • Tensorboard, Weights and Biases
  • Flask, Gradio, Power-BI
  • Watson

Certification

Artificial Intelligence Analyst- IBM,

  • Specialized in NLP, Computer Vision, and Chatbots, focusing on their application in data analysis and modeling. Proficient in leveraging IBM tools like Watson, Discovery, and Knowledge Studio for developing AI applications.

Google Cloud Computing Foundations

  • Gained a solid understanding of cloud computing, big data, and machine learning concepts with a focus on Google Cloud Platform. Completed hands-on training via Qwiklabs to apply and practice key skills in a real-world environment.

Projects

Enhanced Medical Image Classification under Resource Constrained Scenarios

  • Developed a feature selection algorithm by combining Reinforcement Learning (Double Q-Learning) with Genetic Algorithms to enhance model performance, particularly in low-data scenarios
  • Applied this approach to tumor classification using CT and MRI images, optimizing feature selection for both ML and DL models.
  • The method demonstrated improved accuracy by selecting features that maximize model performance in image recognition tasks.

Web Application for Image Classification using Transfer Learning

  • Experimented with multiple transfer learning models for image classification, tracking performance using Weights & Biases and TensorBoard.
  • Analyzed model metrics against various parameters to select the optimal model, which was then deployed as a web application using Gradio for real-time image classification.
  • various speech emotion recognition techniques, treating the problem as an image recognition task. Leveraged transfer learning algorithms, tested performance using TensorFlow and Weights & Biases, and performed hyperparameter optimization to enhance accuracy. Analyzed and combined speech features to improve model performance.

Speech Emotion Recognition with Transfer Learning

  • Investigated and applied various speech emotion recognition techniques, treating the problem as an image recognition task.
  • Leveraged transfer learning algorithms, tested performance using TensorFlow and Weights & Biases, and performed hyperparameter optimization to enhance accuracy. Analyzed and combined speech features to improve model performance.

Timeline

AI Intern

CITTAA Health Services Pvt.Ltd
07.2023 - 10.2023

AI Intern

SmartKnower
06.2022 - 08.2023

B.Tech - Computer Engineering Specializing in AI and ML

Vellore Institute of Technology

High School - CLASS XII

Doveton Boys' Hr Sec School
Pirathiish Rajasegaran