Here is a summary of my experience, organized by project category with key results:
Developed a quantum solver library focused on applied problems in chemistry and finance using IBM's Qiskit.
Achievements: 11,000 lines of bug-free code, six research papers published, proof-of-concepts for optimization challenges like VRP.
Was able to develop independently but was not able to ship to pip and get the VRP app up due to upstream errors in qiskit and dependency issues
GitHub RepositoryExplored Bose-Einstein condensates and non-Abelian anyons as substrates for quantum computation using QuTiP.
Achievements: Refined code simulating quantum phenomena, deep theoretical work in condensed matter physics, requiring chip design knowledge.
GitHub RepositoryCreated a multi-objective optimization model balancing accuracy, stability, and reliability in AI systems.
Achievements: Complete framework available on GitHub with accompanying code, data, and white papers.
GitHub RepositoryDeveloped statistical mechanics models to apply diffusion processes to areas like medical imaging.
Achievements: Proof-of-concept completed, pending further scaling.
Developed a data engineering infrastructure to simplify data pipelines and a comprehensive repo for
anything data engineering was able to make a workflow that streamlined the process of making data pipelines
80% to 90% faster
GitHub RepositoryA simplified machine learning automation framework that handles the complexities of ML workflows through configuration.
The project provides an easy-to-use interface for training machine learning models while automatically managing optimization, visualization, and training processes.
Was able to automate 80% of the ML training process
GitHub RepositoryBuilt and visualized the A* algorithm to simulate maze flooding for optimization.
Achievements: Successfully programmed and visualized optimization processes, demonstrating real-world problem-solving with the A* flood method.
GitHub RepositoryCoded a variety of models from linear programming to dynamic VRP to showcase algorithmic knowledge.
Achievements: Full documentation and coded models demonstrating advanced optimization techniques.
GitHub RepositoryDeveloped a full-stack book application using React, Fast-API, and MongoDB.
Deployed on render but faced challenges with cloud compute costs.
GitHub RepositoryLed the team to the top 10 globally at age 16, showcasing leadership and critical thinking.
In this hackathon, I Led a technical team to ship an application that sonifies space images.
Similarly to my Jane street and world scholars experience, I was able to lead a team to a high ranking
We were able to coordinate and have a functioning app on GitHub
Solo participation in quantum computing competition, focusing on community collaboration.
This shows my ability to adapt to any situation and still participate
Participated in a Kaggle competition using a dataset from Jane Street.
Coordinated a team from Iran, Sweden, and the USA to ship machine learning models.
Placed 1000th out of 3000 teams despite joining late, showcasing strong teamwork and leadership.