Blake Richey Email and Phone Number
I am a Researcher and Machine Learning scientist with several publications in AI, Computer Vision, and Reinforcement Learning. My Github with my work and some of my projects can be found here:https://github.com/BlakeERicheyMost of my independent research is specialized in High Performance Computing and Optimization, but I have also worked with low Size Weight and Power (SWaP) constraints.I have 3+ years of industry experience specifically in AI, Computer Vision, and Reinforcement Learning.I have 5+ years of industry experience in programming including web development, robotics, and small board computer applications.I have released Python packages on the PyPI store and am actively working on a reinforcement learning library, with great results thusfar!====== Technical Skills ======Methodologies: Agile – SCRUM, Waterfall, Software Development Lifecycle (SDLC)Software/IDE:GIT, PowerPoint / Word / Excel, Eclipse, Spyder, PyCharm, Jupyter, Anaconda, Python Virtualenv, Visual Studio, Vim, ArduinoLanguages:Python, C++, JavaScript, GoLang, HTML, CSS, React JSXMachine Learning:NumPy, Pandas, Matplotlib, Librosa, Tensowflow, Keras, CUDA, NLTK, Scikit-learn, OpenCV, Neural Networks (ANN/CNN), YOLOv4, RL, DQL, A3C, NeuroEvolution, OpenAI Gym, Genetic Algorithms, Decision Trees, Forest Classifiers, XGBoost, SVM, K Nearest Neighbors, K-Means++, Supervised Learning, Unsupervised Learning, Depth First Search (DFS), Breadth First Search (BFS), Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)Hardware Accel:Multiprocessing, Multithreading, Dynamic Acyclic Graphs (DAG), Cython, Numba, CUDA, Cluster computing / Distributed computing, SLURM, Shared memory accessO/S: Linux, Windows, Mac OS XDatabases: Hadoop, SQL, MongoDBWeb Technologies: React, REST, Meteor, Node JS, HTML, CSS, JavaScript, JQuery, PostMan, Python-Selenium
Redpoint Ai
View- Website:
- redpoint-ai.com
- Employees:
- 4
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Redpoint AiCollege Station, Tx, Us
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Artificial Intelligence ResearcherRedpoint Ai Feb 2023 - Present
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Artificial Intelligence EngineerHyperion Technology Group, Inc. May 2020 - May 2022• Specialized in the implementation of computer vision real-time, long-range object tracking using YoloV4 transfer learning and Python/Tensorflow/Keras for low size, weight, and power computers/microcontrollers• Lead team development of a video annotation software written in Python and PyQT via project boards (SDLC) through several revisions and bug fixes• Conducted collaborative literature surveys and developed innovative methodologies for multi-spectrum image registration• Assisted in developing real-time AI algorithms for use in acoustic digital signal processing (DSP) and reducing false alarm (false positive) rates for specific classifiable signal events• Facilitated accelerated training on a supercomputer by developing distributed data pipelines, distributed task schedulers, and scripts for module deployment -
Undergraduate Computer Vision (Ai) ResearcherUniversity Of Texas At Tyler Sep 2019 - May 2020Tyler, Tx, Us• Collaborated with other researchers to implement image classification algorithms in real time using Python, Tensorflow, Keras, Matplotlib, and SciKit-Learn• Preprocessed data for neural network image classification using OpenCV• Developed a convolutional neural network, in Keras, implementing transfer learning utilizing a ResNet50 model pretrained on the ImageNet dataset and retrained for identifying diseases in plants• Achieved accuracy of 99.32% with an F1 score of 0.99; Currently I am continuing collaboration by attempting to utilize locality feature detection to resolve neural network limitations -
Reinforcement Learning (Ai) Research AssistantArgonne National Laboratory May 2019 - Aug 2019Lemont, Il, Us• Built an OpenAI Gym environment in Python for interfacing neural network based artificial intelligence with a solvent extraction simulator• Communicated with engineers to develop an effective reward structure requiring multi-discipline knowledge to facilitate effective feature topology traversal• Implemented reinforcement learning methods (Deep Q Learning / Policy Gradient) and reached a proof of concept for Artificial Intelligence (AI)design assistance for the optimization of recycle processes with rare earth elements• Developed validation scripts (unit tests) and documentation to ensure continued progress on project -
Full Stack Web DeveloperSecure Patment Solutions Oct 2018 - May 2019• Worked with Meteor Framework utilizing Node JS to manage a CRM using session state persistence• Implemented schema revisions for NoSQL database (MongoDB) and Meteor methods for asynchronous JavaScript operations of database queries• Used React (HTML/JS/CSS/JSX) to maintain and develop dynamic user interfaces (GUI) for software deployed in multiple states with peak traffic of 3000 active users
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Lead Computer TechnicianThe Gadget Medic Oct 2017 - Aug 2018◦ As a member of The Gadget Medic team my primary focus is the growth and development of a Computer Repair service department as well as ensuring prompt turn around times for repairs. My primary responsibilities include diagnosing problems with computers based on testimonials provided by clients and implementation of computer knowledge, repairing computers after they were diagnosed, communicating with clients to inform them of our repair options, and collaborating directly with the owner to expand the business’s computer department. ◦ Apart from the computer repair, I handle facility management and am responsible for daily receipt management.
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SalesCpu Wholesale Computer Parts, Inc. Mar 2016 - Oct 2017◦ Sold computers, built custom systems, performed windows installations, checked in systems for repair, answered phones, provided customer support and service. ◦ I assisted in the selling of computers, communication with management about needed components and merchandise, built custom systems after guiding customers through the components that would provide the best results for their budget, and performed all tasks needed to build the computer. This consisted of performing windows installations, construction of the computer - provided parts, and benchmarking to ensure stability and to simulate customer use. As a member of the sales team I answered phone calls and assisted customers. At CPU we also performed repair work on units. I checked in systems to be repaired and relayed necessary information to technicians, and acted as an as needed computer technician, during which times I diagnosed issues with computers and performed virus removals, password removals, O.S. installations, and network troubleshooting.
Blake Richey Skills
Blake Richey Education Details
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University Of Texas At TylerComputer Science -
Tyler Junior CollegeMathematics And Computer Science
Frequently Asked Questions about Blake Richey
What company does Blake Richey work for?
Blake Richey works for Redpoint Ai
What is Blake Richey's role at the current company?
Blake Richey's current role is Artificial Intelligence Scientist at RedPoint AI.
What schools did Blake Richey attend?
Blake Richey attended University Of Texas At Tyler, Tyler Junior College.
What skills is Blake Richey known for?
Blake Richey has skills like Artificial Neural Networks, Meteor.js, Information Retrieval, Git, Deep Neural Networks, Computer Hardware, Association Rules, Node.js, Computer Repair, Calculus, Mongodb, Operating Systems.
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