Marcus Dominguez-Kuhne Email & Phone Number

California, United States

San Francisco Bay Area

• Spearheading the development of cutting-edge AI agents at Synth AI, automating optimization and enhancing efficiency.
• Researching AI solutions to accelerate the production of AI agents, optimizing performance and scalability.
• Driving advancements in AI technology, positioning Synth AI as a leader in the industry.

Sunnyvale, California, United States

Statistical Analysis for Machine Learning models with the Fire TV Science team to train models for Time of Day aware recommendations taking genres of content into consideration. Data was based on watch data of when customers watched titles. Concurrently, worked on Partner Integration team. Work on FireTV devices (Android devices) to transmit watch data.

Seattle, Washington, United States

I am a Data Scientist and Software Engineer at Amazon FireTV. I use machine learning for entity matching (also known as pairwise matching) on live production systems. The work I do matches different media items together (movies, TV episodes, etc.) from different data providers (HBO, Netflix, Amazon Prime, etc.) and clusters them for use as a data catalog.

Took class and completed coursework for XCS224 - Natural Language Processing with Deep Learning. Learned about topics including transformers, pre-training, NLP, word2vec, etc.

Worked on machine learning techniques for computer vision and reinforcement learning for robotic grasping.

Worked in the Caltech CAST (Center for Autonomous Systems & Technologies) research lab. Worked on a project where we use imitation learning to speed up finding initial solutions for SATO (Sequential Assignment & Trajectory Optimization) using a tree based search RRT (Rapidly-exploring Random Tree). Specifically, we use imitation learning to develop an.

Worked in the University of California at Berkeley AUTOLab with artificial intelligence and robotics. Specifically I worked on two projects. The first is Semantic X-Ray, which is a collaboration with my old team at Stanford University in the Stanford Vision and Learning Lab (SVL). For this project, we are using both semantic and geometric information in.

Author on the paper: Visuomotor Mechanical Search: Learning to Retrieve Target Objects in ClutterPublished in IROS (International Conference on Intelligent Robots and Systems) Conference 2020Worked in the Stanford Vision and Learning Lab with artificial intelligence and robotics. Specifically I worked on the project Learned Mechanical Search, the goal of.

Worked in the Caltech Vision Lab on a project where we worked on using machine learning based image classification to detect dementia using fundus retinal images. I used convolutional neural networks and machine learning along with image filtering techniques. Gained experience with image classification, deep learning, convolutional neural networks, python.

Teaching Assistant for the classes CS/EE 156a: Learning Systems and CS/EE 155: Machine Learning and Data Mining. I grade problem sets, hold office hours and recitation sessions, and manage online discussion forums for helping students understand concepts in machine learning.

One versus One Gameplay for the Distributed Autonomy / Remote Control Research group. Used the Deep Q Learning Reinforcement Learning algorithm train an autonomous vehicle to beat an opponent in arealistic competitive game, with a large number of parameters. Also investigated Genetic and Evolutionary Reinforcement Learning Algorithms for this problem..

Microcontroller Attached as Redundant Check for an Unstable Spacecraft (MARCUS) Subsystem. Programmed small CSCI (Computer Software Configuration Item) in C++ for an Atmel Microcontroller to communicate with other components of a spacecraft. Worked closely with employees, constructed framework and performed regression testing. Gained experience with C++.

Bachelor Of Science - Bs, Computer Science

Doctor Of Philosophy - Phd, Computer Science: Machine Learning & Robotics

PhD Student & Researcher in the RESL Lab under Prof. Gaurav Sukhatme