Nick Locascio

Deep Learning Consultant

Booth AI

Co-Founder, CEO

Standard Cognition 

I joined Standard AI as employee #7 and wore many hats throughout our unicorn growth cycle. I wrote critical pieces of our algorithms and inference stack, led and grew our Machine Learning Teams, spearheaded our Synthetic Data initiatives, landed 10+ machine learning models into production, and drove key metrics and ml product launches.

Director Of Engineering

Symantec

Built deep learning systems for dynamic cyber threat and insurance modeling.

Massachusetts Institute of Technology

Published 2 Machine Learning Papers. Founded and lectured MIT's Deep Learning course, 6.S191.

Papers:
[1] High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision
Journal of Radiology '17

[2] Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge, EMNLP '16

Graduate Researcher

Perch

Developed deep learning computer vision models for early stage fitness technology startup.

Deep Learning Engineer

Pinterest

Worked on Machine Learning Recommendations team building big data prediction models with Hive+Hadoop.

Machine Learning Engineer

Fitbit

I worked on the iOS team doing various feature work.

Software Engineer

Mystery Snap

Mystery Snap was an ephemeral photo sharing iOS app.

Acquired +250,000 users. +3 million photos sent.

Mystery Snap held the #1 spot in the Norway Photo & Video Category for over two weeks.

Founder

Monster Cats

Monster Cats was a 2D action runner iPhone game.

Monster Cats reached #56 on the App Store
for Adventure Games and made the All Games Top 300 the first week of launch.
4.5 Star Rating. +150,000 downloads

Co-Founder / CEO at Booth AI (YC W23)

Stealth Startup

Founding Engineer

Boston Dynamics

Senior Mechanical Engineer

Mechanical Engineer

Tesla

Designed and released assemblies for Model S, X, & Y within the Closures Vehicle Engineering Department
Designed a new seal system for R&D that improves vehicle NVH performance by 2.5 dB
Managed general assembly deviation trials including design of manufacturing jigs
Conducted material property tests and system-level durability tests

Mechanical Engineering Intern

ClearMotion

Redesigned structural components of linkage mechanism in active seat for enhanced functionality (integration of electronic fore-aft adjustment) and better packaging. 
Added functionality to active seat control algorithm.
Created a GUI to automate physiological data collection and processing for a study on human response to vehicle motion. The GUI included several touch screen test sequences.

MIT Media Lab

Co-Developed, designed, and 3D modeled an autonomous platform for personal transportation, and simultaneous localization and mapping (SLAM). 
Conducted the fabrication of the Persuasive Electric Vehicle (PEV), an autonomous tricycle meant to revolutionize the way we approach transportation.
More Info: http://mateomariscal.com/MITChPl_projects.html

Undergraduate Researcher

Assistant shop supervisor -  trained to use water jet cutter, CNC ShopBot, 4-axis milling machine, laser cutter, PBC miller, sandblaster, and MIG welder. To gain experience on machines, I conducted several side projects - creating an electric skateboard, knife, cabinet, among others.
More Info: http://mateomariscal.com/MITCBA_projects.html

Assistant Machine Shop Supervisor

INSIA

Used Matlab’s Simulink to interface CarSim and AVL Cruise, and co-simulate electric vehicle tests.
Created vehicle dynamic simulations to calculate / analyze rolling resistance, brake force distribution, slip angle, vehicle forces, etc.
Modified and validated vehicle models with real test data - implemented a PID controller for dynamic gain adjustment and errors reduction.

Automotive Engineering Intern

GE’s Dare to Lead Program is designed to uncover top-tier candidates and prepare them as a leader. The high-energy program helped me learn and develop skills for leadership in engineering.

GE Dare to Lead

Primus Power

Created a pump test platform (PTP) for conducting an accelerated life durability test for a 3-way mixing valve. The PTP included a variety of sensors and controls for creating worst-case scenario environments. Project was designed and simulated with Solidworks and Lab View.

Harvard-Smithsonian Center for Astrophysics

Devised a voltage controller with a touchscreen interface currently fielded at the Submillimeter Array.

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Nick Locascio

Mateo Mariscal

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