In collaboration with two partners, I founded a startup, Hyptilad. Our vision was to create an accessible algorithmic stock trading platform that empowers individuals without a technical background to design and execute their trading strategies. Our innovative trading strategies have outperformed S&P500 in preliminary live testing.- Sole developer- Utilized bayesian optimization for parameter tuning in strategy backtesting- Customized neuroevolution algorithms for training of neural network strategies- Built a fault-tolerant cloud deployment system to ensure continuous execution of trading strategies, regardless of unforeseen errors.- Automated the process of live strategy containerization into Google Cloud in under 3 minutes

- Developed automation tools to conduct AI Red teaming assessments and identify model vulnerabilities- Expanded AI red teaming capabilities by adding a variety of AI model attacks: member inference, model extraction- Trained general adversarial networks to create drone imagery to perform class ontology attacks on target models

- Advised a university professor on machine learning architectures in writing research proposals.- Developed machine learning prototypes including Long Short-Term Memory and reinforcement learning

- Conceptualized, designed, analyzed, and drafted solutions for numerous projects- Created technical drawings for 200+ welded assemblies, sheet metal, and CNC parts- Performed various types of hand calculations to drive designs on various projects- Built finite element models of complex parts and assemblies in Siemens Femap

- Worked as the primary full-stack developer for a $50,000 manufacturing process tracking system- Collaborated with customers throughout the software development lifecycle to enhance the user experience- Became an internal expert on GE OpsHub Designer and advised senior software developer

- Developed data acquisition and analysis systems for process capability improvement on 777x and 737 Turbo Fan Intake Manifolds manufacturing- Designed and built a vibrational data acquisition unit to improve product quality and reduce scrap- Implemented machine learning for CNC process improvement