Brandon Bonifacio Email & Phone Number

San Francisco, Ca, Us

San Francisco Bay Area

best job ever :)

San Diego, California, United States

Working part-time as I finish my last semester in college. Active Insights is a company using AI to stop nefarious activity, such as human trafficking. Responsibilities include: - Develop and implement computer vision algorithms and models in coordination with Director of Engineering- Collaborate with cross-functional teams to design, test, and deploy solutions that integrate computer vision technologies.- Optimize and fine-tune existing AI models for improved performance, accuracy, and scalability.- Work on data collection, preprocessing, and annotation tasks to support model training and validation.- Participate in the entire software development lifecycle, from conceptualization to maintenance.- Document processes, methodologies, and outcomes to facilitate knowledge sharing and team collaboration. - Conduct research and stay updated with the latest advancements in computer vision, machine learning, and AI to drive innovation within the team.

Claremont, California, United States

- Collaborated with team of Engineers to complete contract project with Audio Technica. Contract is facilitated through Harvey Mudd and Professor Okitsugu Furuya. - Created analog circuit on protoboard implementing Hysteresis & temperature detection via solid state temperature sensor to prevent overheating when charging USB-C IoT devices.- Ensured temperature thresholds for stopping and resuming charging are fully customizable by deriving equations dictating the circuit element specifications with respect to temperature thresholds. - Conducted thorough tests using FLIR thermal camera & worst-case charging conditions by cyclically heating the circuit to estimate the durability and determine limitations. - Delivered KiKad PCB circuit for Audio Technica's mass production, PCB was within constraints of 20 x 10 x 2 mm & $0.68/circuit (single order) to $0.0092/circuit (mass production)

Claremont, California, United States

Note: Can not state company sponsor name due to NDA • Designed a computer vision system to highlight cleanable defects on devices to increase throughput for use in a Machine Learning System. • Delivered a cost estimate and design to scale the system up to the factory’s desired level. • Evaluated different lighting methods including UV, NIR, Diffuse, & Low Angle lighting to highlight defect

Claremont, California, United States

Pursuing Bachelor's Degree in:Joint Mathematics & PhysicsIPS: Engineering & Computer ScienceWill Graduate May 2024

Claremont, California, United States

Working with American Astronomical Society's Chairperson of Dynamical Astrophysics, Dr. Daniel Tamayo (hindex 21, 1232 citations), and my research team to perform research on exoplanet systems and planetary formation. Implementing the machine learning algorithm, SPOCK, to characterize the early stages of exoplanetary formation. I perform research with my team with the intent of modelling early planetary systems, assigning each system a probability of being unstable via the ML algorithm SPOCK, and then performing statistics tests including Kolmorogov-Smirnov, Monte Carlo, and permutation techniques. Publishing paper once research is done.

Spokane, Washington, United States

Clinic Project Coordinated Through Harvey MuddTrained a deep convolutional neural network for classification of products into multiple categories by designing a camera rig, capturing, and labeling 8,711 images with my team. The NN I trained captures an image from the camera, classifies, and saves images of 6ft x 2ft product in real-time (<2.5 seconds) with an F1 score of 0.82, with the product having a large class imbalance. The system constraints for my NN were that it had to be run on a CPU with 8GB of available RAM. Collaborated with my close team to meet 5 times a week for regular progress checkups and discussions with our liaisons.

Los Angeles, California, United States

Constructed supervised learning AI algorithms with the use of Tensorflow, Keras, Stable-Baselines, and open-source packages from OpenAI such as Gym. Created a general-purpose reinforcement learning package for Arete to use on future projects.

Northridge, Ca

Signal Processing, Machine Learning, & AI - Creating and optimizing classification/ML/AI algorithms (e.g. decision trees, random forests, extra trees, neural networks, ...) with the implementation of Scikit-Learn, Keras, Imblearn, and TensorFlow on datasets with a large class imbalance. Implemented data imbalancing techniques, ML spot-checking, hyperparameter tuning, and ensembling to improve ML performance on difficult datasets. Developed evolutionary optimization algorithm to optimize very high-dimensional (~10^5) mathematical fields with complex correlationships, stochastic discontinuities, discrete values, and multiple variable types with a better performance that standard python libraries (e.g. Scipy)

Claremont, California, United States

-With my team of engineers, we design and manufacture rockets for the purpose of certification launches and also to hone our skills.-I am working with project Goddard to engineer a gasoline-liquid oxygen rocket similar indesign to the SpaceX Raptor and Blue Origin BE-4. On this project, I specialize in solving the heat partial differential equation for our combustion chamber and installing avionics software.•I collaborate with our large team to manufacture rockets for certification attempts for Tripoli Rocketry Association. I find joy in helping new engineers assemble rockets and collaborating with peers on designing more advanced rockets.- I gain experience with hand tools and the machines at the Harvey Mudd Machine shop through our projects requiring fabrication. These machines include a lathe, mill, drill press, and an electric saw. We also use software such as Matlab and CAD Solidworks to design our rockets.

Claremont, California, United States

Washington Dc-Baltimore Area

- My team of scientists and engineers worked to program and simulate forward modelling of Coronal Mass Ejections (CMEs) through the use of a flux-rope model in python.- Using these computer-generated models in conjunction with WISPR, we wrote a program to predict the occurrence of CMEs by comparing satellite imagery of the Corona to our computer-generated images.- I studied ways in which we protect our satellites and machinery from radiation caused by CMEs through methods such as Faraday Defense (electro-shielding) and Surge Protection.

Claremont, California, United States

I tutor students in math, physics, engineering, and computer science classes and lead projects using the skills taught in class. Some of these projects include engineering catapults or coding in python.

Socorro, New Mexico, United States

Over six weeks, my research team collected original astronomical data using a 14'' photoelectric telescope at Etscorn Observatory in Socorro, New Mexico, and then processed that data through programs we coded. Through the use of astrometry, photometry, and the Method of Gauss, we calculated the orbital elements of a near-Earth asteroid and determined its behavior over the next fifty million years through numerical integration techniques and a Monte Carlo method.

Bachelor'S Degree, Joint Mathematics & Physics

3.9 G.P.A

Bachelor'S Degree, Engineering & Computer Science

3.9 GPA

Education record

4.5 GPA Valedictorian 16 AP Classes Completed 1570 SAT 800 SAT Physics Subject Test 800 SAT Math II Subject Test