Creating automated Pareto visualizations for weekly complaint triage sprints using Visual Basic, to be used by Fresenius Kabi USA's executive quality assurance team. Porting the Ivenix Infusion System's UI platform to .NET 8 using C#.

Cut buyer and supplier costs by upwards of 30% while leading development on an Express-based web application and network for conducting efficient B2B electronic procurement using novel mathematical optimization with BARON. Optimized query performance by 12% by reformatting the core data schema using PostgreSQL and Amazon RDS. Authored revised Git version control practices, scrum work cycles, and an Agile development framework.

Designed and delivered the MVP for pivotal investor pitches on India’s premiere AI-driven, no-code options backtesting platform with React, C++ and Molybden, which contributed to a 40% increase in investment inquiries. Executed weekly workstreams ranging from bull/bear market data analysis, European options trading algorithm backtesting, and utilizing Matplotlib for data audits and pre-visualization of company strategy decisions.

Designed and implemented a new responsive landing page for I-GUIDE using Figma, React.js and Tailwind. Built a Jupyter Notebook plugin to auto-upload user GitHub repositories from our CyberGISX platform using JavaScript, REST API, and MySQL. Improved code upload efficiency by 233%.

Co-developed novel low-resolution image discernibility analysis methods with Dr. Kyle Keane. Implemented renewed G-code interfaces for Arduino systems. Proposed cGAN-based techniques for improved image pre-processing results, currently being used to develop a tactile device for people with visual impairments.

Selected as 1/54 interns nationwide for the SHTEM Summer Internship Program. Led the Machine Learning Team. Used Python to develop an augmented byte-pair encoding (ABPE) algorithm for 17% faster text tokenization in NLP applications. Annotated a 40,000+ token dictionary datasets, and tested multilingual tokenizers (BERT, WordPiece, etc). Research was published in the Stanford Compression Forum Journal and recognized at the SCCUR 2021.

Consolidated over 15 multi-state political research portfolios on various energy sector lobbying policies in PowerPoint slide decks. Conducted data analysis and market research in the international energy sector, and presented recommendations to Mitsibushi Hitachi Power Systems company executives. Followed biweekly deadlines, interacted with senior analysts, and was trusted with numerous solo projects.