Quantum Computing:

- QSolvers (Quantum Optimization Library):

— Developed a quantum solver library focused on applied problems in chemistry and finance using IBM’s Qiskit.

— Achievements: 3,000 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 Repository

— Bosonic (Theoretical Quantum Computing Research):

— Explored 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 Repository

Machine Learning (ML) & Artificial Intelligence (AI):

- Emergent Neural Networks (ENN) Framework:

— Created 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 Repository

— Thermodynamic Diffusion Models (Upcoming)

— Developed statistical mechanics models to apply diffusion processes to areas like medical imaging.

— Achievements: Proof-of-concept completed, pending further scaling.

Operations Research & Optimization:

— Pathfinder (A* Algorithm Visualization):

— Built 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 Repository

— Math Programming & Operations Research Models:

— Coded a variety of models from linear programming to dynamic VRP (Vehicle Routing Problem) to showcase algorithmic knowledge.

— Achievements: Full documentation and coded models demonstrating advanced optimization techniques, not client-based but for demonstration of expertise.

GitHub Repository

Software & Backend Engineering:

- Monolithic Data API

— Designed an API to reduce training time by 60% through efficient multi-threading and code optimization.

— Achievements: Successful reduction of ML model training time and optimization of back-end infrastructure.

GitHub Repository

— Neural Nexus AI Forge (Upcoming):

— Planned project involving a custom GPU cluster to maximize model optimization using A100 and H100 GPU pools.

— Achievements: Concept and early design work completed, focused on continuous model optimization.

Books application

— Developed a book application that allows users to search for books and add them to their reading list.

— Achievements: Successfully implemented a full-stack application using React, Fast-API, and MongoDB.

GitHub Repository

deployed it on render but was not able to ship completely due to cloud compute costs

Hackathons & Competitions:

— World Scholars Debate Club (Top 10 Globally):

— Led team through local and global debate rounds to the world championships using a semi-democratic leadership style.

— Achievements: Reached the top 10 globally at 16 years old, showcasing leadership and critical thinking.

— NASA Space Apps Hackathon:

— Led a technical team to ship an application that sonifies space images.

— Achievements: Successfully pivoted during the competition to deliver a functional project, reaching the top rounds.

- Penny Lane Quantum Hackathon:

— Participated solo in a quantum computing competition, collaborating with the community and testing skills.

— Achievements: Completed participation and collaboration in quantum computing despite not placing highly.