Chethan's Website

Hey, I'm Chethan Mahindrakar

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About Me

Hey, I'm Chethan!

I'm a creative and hardworking student who loves to realize problems and solve them in efficient ways.
I have a broad skill-set in the Software development and Data Science domain and hope to soon enter the workforce to tackle challenging situations and gain hands-on experience.

Education

PES University (2018 - 2022)

Bachelor's of Technology
Computer Science
Bengaluru, India.

Bangalore International Academy (2016 - 2018)

CBSE board
Science + Information Technology
Bengaluru, India.

Little Flower Public School (2006 - 2016)

ICSE board
Computer Science
Bengaluru, India.

Skills

Programming Languages

Java Python C

Databases

MySQL PostgreSQL

Web Stack

HTML CSS JavaScript

Frameworks

Spring Microservices

Additional Tools

Json Git & Github AWS

Backend Reddit Clone

Backend Reddit Clone

Developed a backend reddit clone application with Java and Spring Boot. The feature list includes the ability for a user to make new posts, interact with other posts and more traditional Forum capabilities. Implemented user authentication and session management using JWT. Used MYSQL as the backend database connection.

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Multithreaded Video Rendering

Multithreaded Video Rendering

Developed a multi-threaded java application to render adobe after effect video templates as a batch process to effectively utilize available CPU and memory resources. Configured and managed several adobe templates. Tested on multiple threads and found proportional increase in processing speeds and resource utilization.

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MicroStore (Microservice Store Application)

MicroStore (Microservice Store Application)

Developed a microservice based architecture for an online store. Implemented multiple services including service discovery, API gateway, Authentication using JWT. Implemented using Java Spring boot and databases include MySQL and PostgreSQL.

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DeepFake Detection

DeepFake Detection

Developed a facial detection(mtcnn) and Convolutional Neural Network (Resnet- 50) based light–weight model to detect deepfakes using the PyTorch Framework.Model achieved an accuracy of 85.8%

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Winograd Schema Challenge

Winograd Schema Challenge

Developed a low cost SVM based model to tackle the Winograd Schema Challenge based on antecedent pronoun identification in a sentence. Experimented with multiple approaches (SVM) and different word embedding techniques using word2vec and GloVe using ConceptNet. Achieved an accuracy of 65.21% using conceptNet and the Winogender dataset.

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Road Smoothness Detector

Road Smoothness Detector

Formulated and developed an interactive android app that detects potholes and humps traversed during a road trip. Application uses accelerometer to collect data which is used to analyze the condition of roads. Achieved an accuracy of 81%.

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Automated Ad-Insertion in videos

Automated Ad-Insertion in videos

A method and system for automated, context sensitive and non-intrusive insertion of consumer-adaptive content in videos. The system analyzes relevance for a consumer based on multiple factors such as the profile information of the end-user, history of the content, social media and consumer interests and professional or educational background, through patterns from multiple sources. The system also implements local-context through search techniques for localizing sufficiently large, homogenous regions or textured patterns in the image that do not obfuscate protagonists or objects in focus but are viable candidate regions for insertion for the intended content. This makes relevant, curated content available to a user in the most effortless manner without hampering the viewing experience of the main video.

Patent

A system for the automated, context sensitive and non-intrusive insertion of consumer adaptive content in video

Status: Patent Filed
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Research Paper

Deepfake Detection using a frame-based approach involving CNN

International Conference on Inventive Research in Computing Applications, IEEEXplore, 2021.

Research Paper

Exploratory Analysis on Topic Modelling for Video Subtitles

International conference on Information Technology and Natural Language Processing, ACM, 2021.

Connect with me at:
chethan.mahindrakar@gmail.com