Hello!
I'm Manas Gandhi, a computer engineer at UIUC focused on creating his own company
Get in touch manaspgandhi@gmail.com
I'm currently a Computer Engineering student at UIUC focusing on AI, Robotics, and cybernetics. I recently worked with Sandia National Laboratories as an embedded engineer, working on a Radiation Hardened Processor. I also completed internships with Target, Kadena, and Xclusive Sports Management.
As an engineer focused on startups, I enjoy building products — combining my wide technical expertise with a keen business sense to sell a product. I have a wide range of experience, including AI/ML, embedded systems, data engineering, and full-stack work. With all these skills, I want to build something to make an impact on the world.
When I'm not in front of a computer screen, I'm probably playing bouldering, DJing, and traveling around the world.
- JavaScript (ES6)
- TypeScript
- HTML
- CSS/Sass
- Python
- SQL
- R
- Linux
- TensorFlow/PyTorch
- GDB
- Git & Github
- NVIDIA RSI
- Vivado
- React
- Ghidra
- Computer Systems Engineering
- Digital Systems Laboratory
- Artificial Intelligence
- Robotics
- Parallel Programming
- Data Structures and Algorithms
- Natural Language Processing
Custom operating system based on Linux with full capabilities, including a filesystem, various drivers, and painting.
Microprocessor made from scratch in SystemVerilog with CPU, 2700kb on-chip memory, I/O interfaces, and a custom instruction set with opcode management.
Designed a Parallelized Convolutional Neural Net image classification model, parallelizing the convolution, ReLU, and other functions using Cuda and NVIDIA RSI.
Marmalade NFT based subscription model for subscription services such as Netflix and the gym; used Pact, React, and Node.
Created a options price prediction model using a quantum version of the Monte Carlo method using qiskit.
Lending protocol to lend money for investment through smart contracts, with NFTs as collateral.
Developed reinforcement learning algorithms through policy gradient methods such as Proximal Policy Optimization, future returns, and advantage estimation using PyTorch and Python to test on OpenAI gymnasium environments.
Used ROS and Python to control robot arm, making it detect the correct objects on the table using openCV and place them in color order.
Software that does inter-platform and intra-platform arbitrage on stable coins, monitering when they change value and investing with low latency.