Hi, I'm Ethan

I love coding(most of the time)!
Here is a glimpse into my personality and some of the cool things I've done

Introduction

Overview.

Hello World! This one statement was the beginning of my journey into the wonderful world of Computer Science. Hey there, I’m Ethan Varghese and I am a motivated high schooler who has taken a keen interest in Computer Science and various sectors of this vast field. This resume outlines some of the cool things that I had the honor to take part in and gives a slight glimpse at my personality.

Machine Learning and Artificial Intelligence

Software Development and Engineering

Web Development

Robotics and Embedded Systems

What I have done so far

Work Experience.

CEO

LingoSage

Spearheaded the conceptualization and development of LingoSage during my tenure as a software engineer at a leading tech company, driven by a passion for democratizing access to knowledge and overcoming language barriers in education.
Leveraged my expertise in AI and machine learning gained through years of experience in the tech industry to design and implement the innovative AI dubbing technology that powers LingoSage, enabling real-time translation of educational content into multiple languages.
Collaborated with industry-leading APIs and technologies, such as Assembly AI, Google Translator, and Microsoft Azure TTS, to optimize functionality and enhance performance, leveraging my network and expertise to secure strategic partnerships and resources for LingoSage's development and growth.
Fostered a culture of innovation, collaboration, and continuous improvement within the LingoSage team, driving forward our mission to revolutionize learning and empower individuals worldwide to pursue knowledge without boundaries.

August 2023 - March 2024

Artificial Intelligence Intern

ICURO

Contributed to the development of a showcased robot at the INTEL expo during my internship at ICURO that was tasked with
Acquired proficiency in data collection tools like CVAT and Roboflow, facilitating efficient data labeling.
Utilized the YOLO framework to create an object detection algorithm for the robot.
Played a crucial role in collecting and refining large datasets, essential for building accurate machine learning models.

May 2021 - June 2021

Engineering Intern

Netlab-Dr.Low at Caltech

Currently serving as the only high school intern at Netlab
Working on various projects and am extremely excited to work on several projects under the guidance of Dr. Low
Completed first project which was revamping the current website and making it more easily maintainable
Going to work on electrical outage detection and emergency notification tool for Caltech facilities
Extremely excited to continue to work on exciting projects and research in the future

Just Started

Software Engineering Intern

LetsSolv

Developed a sentiment analysis prototype that gauged sentiment from news portals, forums, and Twitter, storing results for dashboard reporting.
Key contributor to user modules, admin functions, and sentiment exploration.
Implemented machine learning models (Vader Lexicon, scikit-Learn, TensorFlow) for enhanced analytical capabilities.
Applied Python, Django, and MySQL skills for a robust sentiment analysis system.

July 2023 - Sep 2023

Student Researcher

ASDRP

Two-year ASDRP tenure focused on drug development and pharmacokinetics.
Presented innovative findings at SCURR(Southern California Conferences for Undergraduate Research).
Led project involving phosphorus atom extraction from DNA using PyMOL and Python.
Methodology included data extraction from RCSB PDB and MMDB, yielding a dataset of 3,146 molecules.
Developed a structural classification method for DNA Binding Enzymes in Homo sapiens.
Emphasized DNA strand's geometric aspects, revealing common attributes across protein classes.
Implemented methodologies to map specific features for protein family identification.
Research holds promise in biomedical applications, particularly in drug development.

Jan 2022 - Present

CTO

Origins Customs

Current CTO at Origins Customs, overseeing technology for a thriving clothing business.
Receiving 10+ orders per year each of which brings in nearly $1,000 in profits
Manages technological infrastructure and operations, ensuring the seamless functioning of the business website.
Created clean custom clothing website which can take in custom orders and sends emails to notify the faculty as well as the customer thanking them for their order.
The faculty are also prompted to check out clean custom admin panel with all orders that have been taken
Utilized Vite/React, typescript, tailwindCSS, Firebase, and emailJS

April 2023 - Present

CTO and Director of Education

California HS Democrats Chapter

Currently serving as Chief of Technology, responsible for overseeing and implementing technological solutions.
Simultaneously hold the position of Director of Education, leading a Discord channel focused on educating youth.
The Discord channel aims to inform young individuals about ways to voice their opinions and actively participate in civic matters.

March 2023 - Present

Tutor

Learn To Be

Created engaging learning environment by encouraging questions, sparking discussions.
Planned curriculum based on individual academic needs.
Met with parents to discuss youth progress and potential.
Provided extra support for struggling students by tutoring in Math and Science.

Jan 2022 - Present

My work

Projects.

Following projects showcases my skills and experience through real-world examples of my work. Each project is briefly described with links to code repositories and live demos in it. It reflects my ability to solve complex problems, work with different technologies, and manage projects effectively.

KeepCalm

KeepCalm is a supportive online platform dedicated to mental health discussions and support groups. Built using Django framework, KeepCalm features multiple chat rooms focused on various mental health disorders, including personality disorders, Alzheimer's, autism, eating disorders, and depression. Users can engage in conversations, share experiences, and access resources related to mental well-being within specialized chat rooms. With a robust authentication system, KeepCalm prioritizes user privacy and confidentiality, ensuring a safe and supportive environment for individuals seeking assistance and community support.

#django

#mental health

#support groups

Object Detection on Street

I developed an object detection model using the YOLO framework and a CNN, achieving a 90% accuracy rate. I also experimented with expert models such as VGG16, VGG19, ResNet50, and DenseNet121, gaining valuable insights. The model can currently take in and output videos and will be integrated with a live video camera using TensorFlow.js for real-time applications. Its accuracy rate and ability to handle multiple objects make it useful for computer vision, robotics, and autonomous systems. The real-time integration will be interesting to compare with the expert models.

#YOLO Framework

#TensorFlow.js

#Convolutional Neural Network (CNN)

Video Game User Retention Personal Research Paper under mentorship of MIT Alumna Anjali Singh

Embarking on a mission to elevate user retention in the dynamic landscape of the video game industry, my personal research paper, conducted under the mentorship of MIT Alumna Anjali Singh at INSPIRIT AI, represents a deep dive into the intersection of player engagement and game difficulty prediction. The primary objective of the research was to optimize player engagement by predicting the optimal game difficulty. This involved a meticulous analysis of player statistics alongside real-time camera footage. The findings of this comprehensive study were presented through a detailed research paper and an accompanying poster. To fuel the investigation, I leveraged Kaggle datasets encompassing facial emotion and real-time Call of Duty player data. The utilization of pre-trained convolutional neural networks, specifically VGG16 and VGG19, on image datasets added a sophisticated layer to the analysis, enabling a nuanced understanding of player dynamics. In the pursuit of precision, various machine learning models were employed, including K-Nearest Neighbors and Decision Trees, applied to the Kaggle Dataset focusing on Call of Duty (COD) players. This intricate amalgamation of models seamlessly integrated emotional cues derived from facial expressions with quantitative player data, presenting a holistic perspective on user engagement. In essence, this research paper represents a comprehensive exploration at the crossroads of player psychology, statistical analysis, and machine learning methodologies, with the ultimate goal of enhancing the user retention strategies within the ever-evolving realm of video game dynamics.

#CNN

#VGG16

#k-nearest Neighbors

Get in touch