Block Single Stock Options

Backed by Neo | Neo Accelerator '22

Energy

-Researched High-Frequency Arbitrage and Market Illiquidity.

Research Coordinator

-Developed state-of-the-art and fully automated prober control calibration software for post-wafer photonic integrated chip fabrication and testing. Currently used by SUNY.-Developing methods for statistically characterizing photonic integrated circuits for advanced modulation formats, which are extremely sensitive/complex and thus require novel and fast methods for statistical analysis.

-Running statistical analysis and writing systems-level computer programs (C++, Linux) for large datasets related to trade execution, order management, and algorithm implementation (US Domestic Equity Markets).-Conducting multiple independent research projects.

Researching novel construction of degenerate convolutional quantum error-correcting codes for use in quantum computing and communications, improving error-correction performance, rate, and decoding complexity.

- Researched automation of categorical encoding through generation of trainable primitives able to handle cutoff and real time complexities while working with researchers from the DAI Group at MIT CSAIL.- Released PyPi library for categorical-encoding optimized for automated feature engineering, with approximately 4000 downloads within a week. Individually pitched, designed, and programmed API (Python, numpy, pandas).- Pitched and solved customer research problems in an applied machine learning/data science role (Python, Featuretools, sklearn, AWS, numpy/pandas), individually solving 3 distinct customer challenges/datasets.

-Built endpoints for use in the Android mobile app to retrieve and update data in the Firebase/Stripe database.-Built support app for internal use in Flask, HTML, CSS, Bootstrap, Javascript, and GCP.-Built predictive machine learning model to generate "hotspots" tracking driver/user requests.

-Build web pages for Spectator's sponsors in React.js.-Build web articles for website migration from JSP to React.js.

-Wrote paper titled: “P12 Peptide’s Effects on Suppressing Fibrinogen Fiber Formation and Application of Machine Learning in Fiber Counting.”-Developed novel method of suppressing blood clots, proved role of fibrin/surface properties in clot formation, and created machine learning program for microscope image analysis.-Awarded finalist in Siemens National Research Competition.

-Worked on Serial Time Encoded Amplified Microscopy project.-Utilized time-stretch technology and image processing to increase frame rate (∼ 10 MHz) by 6% with negligible decrease in resolution.