Aayush Kamath Programmer • Software Developer

About Me Projects Resume
About Me
My Photo
Greetings! I'm a Software Engineer with a passion for designing and creating solutions to tackle real world problems.
I have expertise in various domains including Web Development, Artificial Intelligence, Data Science and Machine Learning. I am driven by curiosity and love to explore new technologies that aid in tackling real-world problems.
I recently graduated with a Master's degree in Computer Science from Columbia University in the city of New York.
I worked as a Software Engineer Intern at the startup incubator Columbia Build Lab within Columbia Business School, where I worked with APIs (Plaid), Web Development Frameworks (React) and Blockchain Technologies (Solidity).
In addition to my technical skills, I also enjoy problem solving for fun! Leetcode.

Languages

Programming languages for Software engineering and AI/ML: Python, C, Java, Javascript, R.

Front-End

Front-end technologies for web development and component design: React, Bootstrap, HTML5, CSS3, Angular.

Back-End

Back-End technologies for web programming and database architecture: Node.js, Django, MySQL, PostgreSQL, SQLite.

AI and Tools

Technologies for AI and tools: Git, Linux, PyTorch, Pandas, AWS, etc.

Featured Projects

PortfolioOptimizer

     

Developed an investment strategy system using Django, React, and TensorFlow. This project incorporates machine learning techniques for portfolio management and features a Django backend, a React frontend, and models trained on Google Colab using GCP.

Check it out!

Coffee Factory

Established a comprehensive review aggregator ecosystem comprising of hundreds of coffee shops with features such as User Profile, User Reviews, Search, Filter by Categories, Shop details. Deployed a React frontend web application, hosted on AWS Amplify to interact with users and a backend of coffee shops anchored by S3 Bucket and DynamoDB.

Check it out!
Valuto: Dining-Concierge

DineBot

Created a serverless, microservice-driven Dining Concierge chatbot using AWS services, Amazon Lex, API Gateway, Lambda, AWS S3, DynamoDB, ElasticSearch, and integrated with Yelp API for restaurant suggestions.

Check it out!