Mohamed Ameen
@mohamedameen-ioSoftware Engineering Manager @Unity-Technologies | MS in CS @gatech | MS in Quantitative Finance at SOAS
Language Breakdown
Lines of code distribution across 21 owned repositories
T-Shaped Developer
T-shapedDeep in Jupyter Notebook with broad versatility
Collaboration Network
Global Impact visualization
Repos
23
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Ahmed
@ahyield
Abhinav Valada
@avalada
Dan Frakes
@dpfrakes
Cameron Unterberger
@camercu
Jeremy Kun
@j2kun
Top Repositories
In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.
Interactive startup ideation toolkit powered by Claude Code. Walk through a structured brainstorming process to go from "I want to start a business" to a validated business idea with competitive intelligence, market positioning, a complete offer, go-to-market plan, and investor-ready pitch.
In this repository, I will publish my notes for GaTech's Advanced Operating Systems course (CS6210).
In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.
In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.
In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
Deterministic, resumable, tournament-based orchestrator for LLM-driven software development. Turns Claude Code or Cursor into a multi-agent pipeline with Borda-count self-refinement, crash-safe JSONL ledger, and 14 specialized agents.
In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.
Open Source Impact
Contributions to external projects
No external contributions found.