Michael Lutz Email & Phone Number

Morgan Hill, Ca, Us

BLAST AI is making AI research opportunities available to all.See our website: www.blastai.org

Miami, Florida, Us

Working with the Equity Quantitative Research (EQR) division.

San Francisco, California, Us

Berkeley, Ca, Us

Arlington, Virginia, Us

Worked on five projects thus far, involving:- Creating data analysis and visualization pipeline to help determine the location and trajectory of NASA's X-59 test flight.- Developed novel natural language processing pipeline for natural language understanding (NLU) of ATC communication. First author of paper presented at AIAA Aviation 2022 conference & published in NASA Technical Reports Server.- Machine learning prediction of aircraft delays and achieved MAE of ~5 minutes (used Python, scikit-learn).- Front-end development of aviation data analysis application (used Angular).- Back-end development of aviation data visualization application (used React & SQL).

- Architected and developed backend of the one of the first documentation-to-chatbot products to launch-7th on Product Hunt- Utilized Flask backend for document retrieval (efficient embedding search) and Go for documentation scraping- https://www.trydocent.ai/

Developed Raspberry Pi prototype for indoor location tracking system using UWB multilateration. Coded two-way ranging, localization, and GUI in Python.

- Reached 8 chapters across the world (6 in the US, 1 in Nepal, 1 in India)- Placed top 1% of Titanic Kaggle Competition with a pure-ML approach- Created digit recognizer for farsighted people- Partnered with libraries to host workshops to the general public- Many exciting projects in progress--check our website to learn more ;)

San Francisco, Ca, Us

Led development of "The Complete Intro to Machine Learning," which currently has:- Reached ~25,000 students across 167 countries- Maintained 4.6/5 rating- Achieved 50,000+ minutes of watch-timehttps://www.udemy.com/course/the-complete-intro-to-machine-learning-with-python/

Santa Barbara, Ca, Us

- Accepted into the UCSB Research Mentorship Program with 3.75% acceptance rate- Created novel supervised noise reduction approach for clustering on automotive radar- Presented at the RMP research symposium- Paper accepted to the IEEE SSCI 2021 international conference. Presented among PhD candidates on December 7, 2021

Fremont, Ca, Us

Worked on two papers under the gracious mentorship of Dr. Phil Mui:- “Reflection of Political Bias within YouTube Search and Recommendation Algorithms," accepted for Publication in the 14th annual IEEE Symposium Series on Computational Intelligence. IEEE SSCI is an established international conference on AI attended by industry and graduate students. Passed 3 rounds of review.“Implicit Bias in Resume Ranking Tools," presented at Southern California Conferences for Undergraduate Research (SCCUR). After finding statistically significant bias against women, I represented my team by presenting at the 2019 SCCUR conference.

Business development director of FRC robotics team. Co-captain and lead programmer of VEX robotics team. - Raised $80,000+ in funding via grant applications and visits to corporate donors- Placed 2nd in 2019 FRC World Championship

Bachelor Of Engineering - Be, Electrical Engineering And Computer Science

High School Student, High School Student

Artificial Intelligence