Accepted into and working within Solar Sail research team to study feasibility and sustainable design of Solar Sail technology for long-distance space flight. Collaborating on technical research paper with team.

Accepted into and working as part of 4-person consultancy team with Texas A&M Global Cyber Research Institute to address drone identification challenges in Russo-Ukrainian War.

Working under 4th-year Mech-E PhD student Deepak Prakash Kumar as project manager for senior-level mechanical capstone experience.

Freelance question writer for the Long Island Quiz Bowl Alliance (NY), specializing in writing competition-oriented quiz bowl questions in fields of history, science, literature, geography, current events, and sports.

Co-Founder and Lead Programmer, Published Author for ThermoBatt, independent product and research geared towards heat-based approach to heat dissipation and battery lifetime prediction. Utilized NASA battery testing data to develop Python-based product with Pygame elapsed heat distribution simulation and algorithm for state-of-health, remaining useful life prediction with heat, current, impedance, indicators. Project recognized by NJ renewable energy commissioner and presented at IEEE ISEC '24, March; published in SSRN and currently being published in IEEE Xplore.

VOLUNTEER: Lead Program Instructor for LEGO Mindstorms Robotics and Public Speaking. Created individual curriculum to focus on STEM education (LEGO building, 21st century programming and project design) and presentation (story-writing and telling, speaking), for students in K-6. Led team of instructors in conducting hour-long classes on Mondays and Wednesdays; received positive reviews from students, parents, volunteering coordinators. Raised thousands of dollars for YMCA organization.

Project intern and mentee with CVS Health / Aetna: Worked with corporate employees, advisors to lead team of students in performing rigorous analysis, machine learning modeling on 2015 New York City health data to better understand association between, age, race, gender, ethnicity in final cost of stay at major care providers. Used Jupyter, SQL to manage and perform on data; developed scikit-learn regression model for cost prediction with individualized error analysis tool. Presented group findings per indicator to cohort and program sponsors, higher-ups; awarded "Outstanding Performer Award" and scholarship for best performance and student mentorship in group.

Worked with Somerset County Office of Economic Development in accordance with Rutgers Business School to design and present marketing plan for collegiate and working-age talent retention in county. Led group of RBS students in scheduling consulting calls with client and identifying needs, constraints, resources; organized first and second-hand research initiatives, including with Raritan Valley Community College; organized live proposal and presentation to client; and individually presented updates to existing outreach initiatives. Recommendations taken into account for 2023-2024 year.

DirecTV mentorship group project lead and member of Summer Project Team for Edison Chamber of Commerce. Led group of students in conducting meetings with DirecTV mentors to address foot traffic augmentation to Clara Barton, NJ. Coordinated project planning and ideation; participated in off-site, on-site Clara Barton research; presented in front of Chamber President Joseph A. Coyle, DirecTV members. Member of Project Team with Coyle for summer implementation; created business directory for area and edited new website.

Team captain, lead narrator, and lead scriptwriter for competitive year-long National History Day team. 2x National Qualifier, 3x States Qualifier. 2018: Apollo Missions: Space Saga to the Moon; 2019: Alan Turing: The Enigma Who Deciphered the Future (nat'l qual); 2021: Jazz Diplomacy: America's Musical Stand Against Communism (nat'l qual); 2022: Illuminating the Future: How the Radium Girls Pioneered Safety in the Modern Era. Participated in source outreach, research, integration; mentor to competitive students and teams in area. Work recognized by district, organization, Smithsonian Institution for overall achievement and value.

Worked with Python to create and perform analysis on hundreds of thousands of rows of automobile manufacture and retail data. Used Jupyter NB, matplotlib, seaborn to visualize price and customization ranges for Toyota, Chevy, and Ford by model. Analyzed automobile complexity, production penalty, consumer choice, MSRP retail fare. Worked with TensorFlow, keras, scikit-learn to create model for complexity prediction, and used Selenium, BeautifulSoup for quality analysis product price web scraper. Presented findings to higher-ups with weekly presentations and final report.