Computer Vision Engineer
2020 - 2022Eagle Eye Networks- Developed embedded vision features deployed to tens of thousands of cameras worldwide.
- Prototyped state-of-the-art deep learning methods for surveillance computer vision by harnessing large amounts of surveillance video.
- Created prototypes with various edge accelerators for computer vision.
Technologies: C, Machine Learning, Deep Learning, Computer Vision, Linux, Python 3, TensorFlow, C++, Leadership, Project Leadership, Team Leadership, Python, NumPy, JSON, CSV, Artificial Intelligence (AI), Machine Learning Operations (MLOps), Image Processing, Neural Networks, Cloud, Machine Vision, Data Engineering, Data Reporting, Data Analytics, Artificial Neural Networks (ANN), Scripting, Deep Neural Networks, PyTorch, Software Engineering, Cloud Services, DevOps, Pandas, SQL, Linear Regression, Clustering, Visualization Tools, Docker, Google Cloud Platform (GCP), Modeling, Data Mining, Back-end, Distributed Systems, GitHub, Back-end Development, Facial Recognition, Google Cloud, REST APIs, Scikit-learn, Keras, Large Language Models (LLM), Generative Research, AI Design, Internet of Things (IoT), Analytics, Computer Vision Algorithms, OpenCV, Data Analysis, Jupyter, Git, CCTV, Real-time Data, Hardware, Architecture, Hugging FaceComputer Vision Engineer
2019 - 2020Apple- Developed the vision system that detects people's presence in Apple stores.
- Led the team that developed a computer vision system for Apple store analytics.
- Applied ideas from an academic research paper to a real-world product.
Technologies: TensorFlow, Deep Learning, Computer Vision, System Design, Python 3, Object Detection, Object Tracking, Machine Learning, Leadership, Project Leadership, Team Leadership, Python, NumPy, JSON, CSV, Artificial Intelligence (AI), Data Modeling, Machine Learning Operations (MLOps), Image Processing, Neural Networks, Cloud, Machine Vision, Data Engineering, Data Reporting, Data Analytics, Artificial Neural Networks (ANN), Scripting, Deep Neural Networks, PyTorch, Software Engineering, Cloud Services, DevOps, Generative Adversarial Networks (GANs), Pandas, SQL, Pytest, Linear Regression, Clustering, Visualization Tools, Docker, Modeling, Data Mining, Back-end, Distributed Systems, GitHub, Java, Back-end Development, Facial Recognition, Data Pipelines, TypeScript, Google Cloud, REST APIs, Scikit-learn, Keras, Generative Research, AI Design, Analytics, eCommerce, Signal Processing, Computer Vision Algorithms, OpenCV, Data Analysis, Jupyter, Git, CCTV, Real-time Data, Hardware, Architecture, Hugging FaceMachine Learning Developer
2016 - 2019Hewlett Packard Enterprise- Joined the company as an intern and was recognized as one of the top three interns.
- Led a development team for an entirely automated financial department. Reported to the CEO and saved the company $3 million.
- Took leadership roles outside everyday work. Led employee volunteering programs, organized hackathons, and taught technical classes on Linux and machine learning.
- Participated in NLP projects, summarizing and classifying company reviews to improve branding and analyzing employee survey text to improve the company culture.
Technologies: Hadoop, Python 3, Machine Learning, Data Science, Data Visualization, Tableau, TensorFlow, Deep Learning, C++, Leadership, Project Leadership, Team Leadership, Python, NumPy, JSON, CSV, Word2Vec, Artificial Intelligence (AI), Data Modeling, Machine Learning Operations (MLOps), Robot Operating System (ROS), Image Processing, Forecasting, Neural Networks, Cloud, Machine Vision, Data Engineering, Data Reporting, Data Analytics, Artificial Neural Networks (ANN), Scripting, Automation, Automated Data Flows, Deep Neural Networks, PyTorch, Software Engineering, Cloud Services, DevOps, Text Mining, Pandas, SQL, ETL, Linear Regression, Clustering, Visualization Tools, Amazon Web Services (AWS), Docker, Google Cloud Platform (GCP), Modeling, Predictive Modeling, Predictive Analytics, Data Mining, Back-end, Distributed Systems, GitHub, Java, Back-end Development, Facial Recognition, Web Scraping, Data Pipelines, Google Cloud, REST APIs, Big Data, Scikit-learn, Keras, AI Design, Internet of Things (IoT), Analytics, Computer Vision Algorithms, OpenCV, Amazon S3 (AWS S3), Data Analysis, Jupyter, Git, Reinforcement Learning, Real-time Data, Hardware, ArchitectureSoftware Engineer Intern
2015 - 2016Centene- Developed and maintained a documentation website, both its front-end and back-end work. Wrote scripts to process and parse EDI files.
- Ran routine jobs and processed health insurance claims. Automated manually run jobs and reports.
- Produced ad-hoc and scheduled reports for different departments. Helped vendors resolve issues and support third-party software.
Technologies: Python 3, Oracle, Databases, MongoDB, EDI, Neural Networks, Cloud, Machine Vision, Data Engineering, Data Reporting, Data Analytics, Artificial Neural Networks (ANN), Scripting, Automation, Automated Data Flows, Deep Neural Networks, PyTorch, Software Engineering, Cloud Services, DevOps, Django, Pandas, SQL, ETL, Linear Regression, Clustering, Visualization Tools, Modeling, Predictive Modeling, Predictive Analytics, Data Mining, Back-end, GitHub, Back-end Development, Web Scraping, REST APIs, Scikit-learn, Keras, Internet of Things (IoT), Analytics, OpenCV, Data Analysis, Jupyter, Git