An image of Aakash Shetty

Aakash Shetty

šŸ‘‹ Hi. Iā€™m Aakash, a Computer Science Graduate from NYU.

I have completed my Masters from New York University and BTech from Narsee Monjee Institute of Management Studies. I am a Software Developer at Amazon. Plus, getting to know more about Algorithmic trading.

I enjoy reading books, traveling to different places and experiencing new cultures.

Education

New York University
Master of Science in Computer Science

September 2021 - May 2023
Narsee Monjee Institute of Management Studies (NMIMS)
Bachelor of Technology in Computer Engineering

September 2017 - May 2021

Experience

Amazon Web Services
Software Developer Engineer, ML

November 2024 - Present
TCG Digital
Data Scientist

November 2023 - November 2024
AI4CE Lab
Machine Learning Researcher

July 2023 - October 2023
New York University
Big Data Graduate Teaching Assistant

September 2022 - May 2023
Sony
Machine Learning Algorithm Developer

June 2022 - August 2022
The Sparks Foundation
Developer

April 2021 - May 2021

Projects

Below is a list of my notable projects. Have a look at my Github Profile.

Smart Helmet for Impaired Vision Assistance using YOLOv4, OCR, Voice Assistance, Raspberry Pi and Maps.

SHIVA

Smart Helmet for Impaired Vision Assistance using YOLOv4, OCR, Voice Assistance, Raspberry Pi and Maps.

Python PyTorch OpenCV YOLOv3
Code
A trading strategy using indicators such as SMA, Breakout High-Low, Average True Range, MACD, and Bollinger Bands for the selection of top-performing stocks from the Nasdaq 100 index.

Nasdaq 100 Trading Strategy

A trading strategy using indicators such as SMA, Breakout High-Low, Average True Range, MACD, and Bollinger Bands for the selection of top-performing stocks from the Nasdaq 100 index.

Python Pandas Excel sklearn
Code
Cloud based web app to predict heart diseases and provide personalized dietary suggestions for heart patients. Employed XGBoost in Python along with AWS Sagemaker, ES, EC2, Lambda.

AWS based Heart Health and Nutrition Tracker

Cloud based web app to predict heart diseases and provide personalized dietary suggestions for heart patients. Employed XGBoost in Python along with AWS Sagemaker, ES, EC2, Lambda.

AWS Python Sagemaker XGBoost
Code
A churn prediction software with big data pipeline including Kafka and spark streaming for log aggregation and Hadoop cluster for data storage.

Big Data Churn Analytics

A churn prediction software with big data pipeline including Kafka and spark streaming for log aggregation and Hadoop cluster for data storage.

Spark Hadoop Kafka
Code
A bank ledger system that utilizes the event sourcing pattern to maintain a transaction history. The system allows users to deposit funds, withdraw funds, and check balances.

Banking Legder Application

A bank ledger system that utilizes the event sourcing pattern to maintain a transaction history. The system allows users to deposit funds, withdraw funds, and check balances.

Java Spring Maven JUnit
Code
A simple and intuitive Markdown-based notepad built with React, HTML, CSS, and JavaScript, using Firebase for backend storage. This application allows users to create, edit, and save notes in Markdown format.

Markdown Notes Application

A simple and intuitive Markdown-based notepad built with React, HTML, CSS, and JavaScript, using Firebase for backend storage. This application allows users to create, edit, and save notes in Markdown format.

React HTML/CSS JavaScript
Code
Build a custom object detection Model using MS COCO dataset, Darknet and Yolo.

Custom Model for Object detection

Build a custom object detection Model using MS COCO dataset, Darknet and Yolo.

Python Yolov4 MS COCO
Code
Worked on the architecture of the Transformer model, specifically tailored for time-series forecasting to predict APPL stock prices.

Transformer Based Stock Prediction

Worked on the architecture of the Transformer model, specifically tailored for time-series forecasting to predict APPL stock prices.

Python Tensorflow Keras
Code
Iris recognition System in python, implemented segmentation, localization, unwrapping, and encoding.

Iris Recognition System

Iris recognition System in python, implemented segmentation, localization, unwrapping, and encoding.

Python Pandas OpenCV Numpy
Code
An augmented reality app using ARFoundations and Vuforia in Unity to create a dynamic and interactive museum experience.

Alive Museum - AR Museum

An augmented reality app using ARFoundations and Vuforia in Unity to create a dynamic and interactive museum experience.

C# Unity
Code
Model evaluation by comparing the performance of techniques like Gradient Boosting, Logistic Regression, SVM, K-means clustering, and more, using metrics such as accuracy, precision, and recall.

Music Genre dataset EDA and Modeling

Model evaluation by comparing the performance of techniques like Gradient Boosting, Logistic Regression, SVM, K-means clustering, and more, using metrics such as accuracy, precision, and recall.

R
Code

Research

These are my Publications. Have a look at my Google Scholar profile.

Comparision of CNN based object detection techniques based on Fps, accuracy and processing rate for real time applications.

A Review of Object detection models

Comparision of CNN based object detection techniques based on Fps, accuracy and processing rate for real time applications.

Paper
Reviewed different methods of classifier such as KNN, Random Forest, ANN, etc. and compared all classifiers based on Specificity, Accuracy and Precision.

Skin Cancer Detection using Image processing

Reviewed different methods of classifier such as KNN, Random Forest, ANN, etc. and compared all classifiers based on Specificity, Accuracy and Precision.

Paper