Worked with Team Mineral to apply cutting-edge research in generative AI for practical use, building off of adversarial methods such as CycleGAN.

Worked with the Ermon group on generative models in AI. Augmented generative adversarial imitation learning (GAIL) with negative data augmentation (NDA), applying this to a variety of different test cases including LavaWorld and the OpenAI gym suite.

-Full responsibility for designing, implementing, and shipping a deep learning pipeline prototype for automatically sorting auto parts at Daimler factory.-Contributed to in-house project that uses distributed computing to automate deep neural net hyperparameter tuning via PBT and ASHA.

> Drafted proposal for realistic architecture for information transfer between spin and topological states in germanium, including topologically-protected gate protocols.> Created experimental simulations to justify results and establish necessary specifications for material and nanofabrication design.> Expanded software framework for measurement and manipulation of spin qubits in silicon and germanium.

-Developed theory and prototype nanofabrication design for coupling superconducting qubits and observing superradiant phase transition. Improved large segments of in-house code suite to efficiently read experimental results and automatically perform analysis on measurement results.

> Automated measurements of device gain amplification and spectral density to determine optimal regime for amplifier performance on transmon qubits as a function of frequency.

-Worked with three other Stanford students to design and build a new tool to restructure and automate the internal flow of Adyen's merchant-acquiring process. Collaborated with finance, risk management, legal, and development teams.-Independently developed a self-standing platform to generate sample transaction data used for recruitment at Adyen.

-Designed and built several hardware projects. These included an automatic Internet-connected fan system that applies machine learning to predict user arrival and exit times based upon smart lock patterns, a sound-to-light signal converter, and a temperature-sensor dependent fan.-Time series analysis of data for economic forecasting utilizing neural nets, random forest techniques, and ARIMA.

-Developed an interface for running experiments and displaying results graphically in realtime.-Designed and built hardware infrastructure used to create experimental conditions for trapping and entanglement of barium and ytterbium ions.-Worked in lab to arrange experimental setup used for ion trapping and entanglement.

-Worked with the TouchDevelop team to implement cross-platform export functionality using Apache Cordova, including native device functionality.-Helped build a cross-platform app for the Microsoft Faculty Summit.