Christopher Uzokwe
Machine Learning Data Engineer at ZeroEyes | Philadelphia, Pennsylvania, United States
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Christopher Uzokwe is a seasoned Machine Learning Data Engineer at ZeroEyes, where he leverages his extensive expertise in deploying scalable machine learning systems and constructing robust data pipelines. His current role is pivotal in enhancing the efficiency and effectiveness of computer vision applications, particularly in the realm of security and surveillance technology. Christopher has been instrumental in designing a GPU-optimized inference microservice using NVIDIA Triton, significantly boosting throughput for real-time image processing tasks. This innovation not only streamlines the inference process but also optimizes the embedding and model-assisted labeling pipelines, ensuring that the systems can handle large volumes of data with minimal latency.
One of Christopher’s standout projects involved the implementation of a model-assisted labeling pipeline utilizing YOLOv5, which dramatically improved training data expansion and increased human annotation throughput. By enabling the annotation of new objects per image, he has enhanced the accuracy and speed of the training datasets, which are crucial for developing effective machine learning models. Additionally, his development of an image deduplication pipeline using CLIP embeddings has further refined the data preprocessing stage, ensuring that the models are trained on unique and relevant data points.
Christopher's expertise spans various domains, including digital signal processing and music information retrieval, which complements his machine learning skills. Proficient in tools like SQL and Pandas, he combines technical acumen with strong time management abilities to deliver high-quality results in fast-paced environments. His multifaceted skill set and innovative approach position him as a key contributor to ZeroEyes' mission of enhancing security through advanced machine learning technologies.
Machine Learning Data Engineer at ZeroEyes in August 2022 to January 2025
Data Scientist at Spotify in June 2021 to September 2021
Research Assistant at The Music Entertainment Technology Lab (METLab) at Drexel University in October 2018 to June 2021
AV/Video Conferencing Specialist | AV Production Technician at Drexel University in March 2018 to September 2019
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Drexel University, Master of Science in Electrical Engineering, August 2026
Drexel University, Bachelor of Science - BS, August 2026
buildspace, August 2026
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DevOps
Kubernetes
Computer Vision
Cloud Storage
Apache Airflow
Extract, Transform, Load (ETL)
Data Pipelines
Web Development
Continuous Integration and Continuous Delivery (CI/CD)
Django
Tailwind CSS
Microservices
Natural Language Processing (NLP)
C++
Google Kubernetes Engine (GKE)
Google BigQuery
Databases
Python (Programming Language)
Data Engineering
Machine Learning
Google Cloud Platform (GCP)
Research
Digital Signal Processing
Customer Service
Music Information Retrieval
Robotics
Data Science
SQL
PyTorch
Pandas (Software)
NumPy
Signal Processing
Circuit Design
Audio Engineering
Version Control
Data Analysis
Deep Learning
Matlab
Microsoft Office
AutoCAD
Arduino
C (Programming Language)
Microsoft PowerPoint
Microsoft Excel
Audio Visual (AV) Systems
Adobe Creative Suite
Leadership
Public Speaking
Time Management
Teamwork
Ableton Live
SciPy
Serato
Machine Learning Techniques
Matplotlib
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Discover more about ZeroEyesWhat is Christopher Uzokwe email address?
Email Christopher Uzokwe at [email protected]. This email is the most updated Christopher Uzokwe's email found in 2026.
How to contact Christopher Uzokwe?
To contact Christopher Uzokwe send an email to [email protected]. (updated on August 25, 2024)
What company does Christopher Uzokwe work for?
Christopher Uzokwe works for ZeroEyes
What is Christopher Uzokwe's role at ZeroEyes?
Christopher Uzokwe is Machine Learning Data Engineer
What is Christopher Uzokwe's Phone Number?
Christopher Uzokwe's phone (215) ***-*135
What industry does Christopher Uzokwe work in?
Christopher Uzokwe works in the Computer Software industry.
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