Hey, I'm Aryan
Machine Learning
Engineer
I am a student at NYU passionate about systemic social betterment by building and investing into ventures with a focus on using ML/AI to solve complex problems and create innovative solutions.
With over three years of experience in software engineering and data science, I bring a wealth of knowledge in Python, Java, and applications of machine learning such as computer vision and time-series forecasting using large datasets.
Who am I?
About Me
I'm a student at heart, constantly on the lookout for experiences that I can learn or take something from. I enjoy backpacking, collecting Pokemon cards, and working on side projects. I very much dislike the feeling of being idle.
I'm currently studying deep reinforcement learning for optimal portfolio allocation compared to mean-variance optimization and researching techniques such as self-rectification for generating non-specific textures for the data augmentation stage of a machine learning pipeline for detecting manufacturing defects via a comprehensive literature review. When I'm not doing any of that, I'm grinding LeetCode.
Stock Closing Reference Price Tracker
Developed a stock closing reference price tracker for performance forecasts of 400+ Nasdaq listed stocks for Optiver's 'Trading at the Close' competition.
Software Engineering Intern at Wit Sports
Built a Twitter account engagement evaluator regression model in Python to rank a Twitter profile with a score measuring past engagement with another account leveraging libraries such as pandas and Tweepy to access the Twitter API to acquire training data.
Brain MRI Imaging Tumor Detector
Architected a CNN to determine the presence of a tumor in a brain scan with 85% accuracy using AutoKeras and pandas, presenting and delivering the project to radiologists at a local hospital.
Machine Learning Engineer at DATAGRID
Tackling algorithm development and validation of generated defect images to be used for training automated manufacturing defect inspection networks.
Machine Learning Intern at NYC Department of Correction
Machine learning, modeling, simulation, and optimization to build automated systems that can drive down violence and costs.