Hi, my name is
Ansh Tandon
Scroll down to learn more about me!
About Me
I'm a junior studying Computer Science at Purdue University!
I am passionate about creating scalable and high-performance applications, with interests in artificial intelligence, embedded systems, and full-stack development. This past year, I had the opportunity to intern at Tesla on Vehicle Software to develop applications serving thousands of customers and internal engineers across the world. I've had the privilege of building a variety of software, ranging from Generative AI products in FAANG to AI Automation for a Fortune 500 company and to radar systems at the nation's largest university research lab.
At school, I'm an officer for Purdue's Machine Learning Club to organize events and semester-based projects. I was also selected to do research at NASA for the Artemis III mission!
Here are a few technologies I’ve worked with recently:
- Python
- Java
- C/C++
- JavaScript/TypeScript
- React
- Flask
My Past Experiences!
Software Engineer Intern @ Tesla
- Vehicle Software Team
- Built new features on an existing full-stack application in React, Python, and Flask.
- Creating an MVP data tool to be used among Tesla engineers.
Some Things I’ve Built
Featured Project
Wisebucks.AI
An integrated paper-trading and portfolio generation application that does sentiment analysis through current news related to stocks, historical stock price analysis, and financial ratios (price-to-earnings. PEG, & debt-to-equity)! Utilized LSTMs and Monte Carlo to predict future price stocks for up to one week accurately and have received VC funding.
- PyCharm
- Sentiment Analysis
- Long Short Term Memory (LSTM) Neural Network
- Monte Carlo Method
- Django
Featured Project
WWPHacks
A web app for a high school hackathon with over 410 total participants and 81 impactful projects.
- HTML
- CSS
- Javascript
- GitHub Pages
Featured Project
BoilerNetwork
BoilerNet helps students explore professors' research projects, express interest by submitting their email, resume, and comments, and generates a personalized, editable draft email that aligns with their voice before sending it to professors.
- HTML
- CSS
- Javascript
- OpenAI GPT-3.5 API
- LangChain LLM Layering
- SMTP_SSL Email API
- Streamlit
- SQLite
Other Noteworthy Projects
view the archiveBudget Helper AI
Budget Helper AI (BHAI) is a cutting-edge budgeting app that not only helps users monitor their cash inflows and outflows but also provides personalized spending advice through an AI chatbot.
Digital Library System
Developed a React based application that enables to search through books in an online library Firebase database and add new books, edit books already on the database (genre, title, author), and delete existing books.
Boiler Smart Contract
Developed an application that enables users to bid on various different real-estate properties on a smart contract, with functions like checking the bid, ending the bid, and extending the bid.
FoodX_ML
Implemented sci-kit machine learning model to run simulations and determine accuracy based on data on food orders from various universities in the Mid-West.
Quizzie
Devised a platform where students can review fundamental concepts they need for their object-oriented programming class with this quiz game that tests them on fundamentals in topics such as variables, primitive/reference data types, loops, overriding vs. overloading, and more.
To-do List
Developed a to-do list application with React hooks that will enable the user to add tasks that they want to do in a day. Utilized useLocalStorage hook to manage to-do list and integrated function like addHandler, deleteHandler, and toggleHandler to interact with each item.
What’s Next?
Get In Touch
I am always on the lookout for new experiences, so feel free to reach out!
Say Hello