Computer Vision Engineer Resume
Headline : As a Computer Vision Engineer, designed, developed, and implemented computer vision and machine learning algorithms and models, collaborated with other engineers to integrate computer vision and machine learning solutions into the GC app, or deploy them into our backend.
Skills : Machine Learning, Deep Learning, Computer Vision, Image Processing, C++ Programming
Description :
- Stayed up-to-date on state-of-the-art models and techniques, and apply them to projects.
- Worked with cross-functional teams to understand the problems facing users in different sports domains.
- Accomplished business objectives.
- Understood the pros and cons of running a model on the edge vs the backend, and how to help make those decisions a plus.
- Worked remotely throughout the US or from our well-furnished, modern office in Manhattan, NY.
- Leveraged state-of-the-art techniques for spatial computing (such as NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM).
- Improved mission-critical perception systems that enhance customer comfort and safety for all Tesla cars on the road (driving autonomously or not), pushing the boundaries of real-world AI.
Experience
5-7 Years
Level
Senior
Education
MSc in CV
Computer Vision Engineer Resume
Headline : As a Computer Vision Engineer, analyzed and interpreted complex visual data to extract meaningful insights, led strategic initiatives to enhance vision system capabilities and features.
Skills : Computer Vision Algorithms., Machine Learning, Deep Learning, Computer Vision, Image Processing, Software Development
Description :
- Ensured compliance with industry standards and best practices in AI ethics.
- Responsible for leading the development and integration of a deep learning framework, enabling real-time analysis of video streams and enhancing surveillance capabilities by 40.
- Responsible for conducting extensive research and prototyping to improve facial recognition algorithms, resulting in a 50 reduction in false negatives and enhancing user experience in biometric identification systems.
- Responsible for developing and implementing advanced computer vision algorithms, .
- Responsible for collaborating with cross-functional teams to design and optimize machine learning models for image segmentation, achieving a 25 reduction in false positives.
- Responsible for leading the development and integration of a deep learning framework, enabling real-time analysis of video streams and enhancing surveillance capabilities by 40.
- Responsible for conducting extensive research and prototyping to improve facial recognition algorithms, resulting in a 50 reduction in false negatives and enhancing user experience in biometric identification systems.
Experience
5-7 Years
Level
Senior
Education
BSc in CS
Computer Vision Engineer Resume
Objective : As a Computer Vision Engineer, worked in a fast paced, high pressure startup environment and adapt to rapidly changing requirements, developed and optimized computer vision algorithms for real-time applications.
Skills : OpenCV, TensorFlow, Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Collaborated with cross-functional teams to integrate vision systems into products.
- Implemented deep learning models using frameworks like TensorFlow and PyTorch.
- Conducted research to stay updated on emerging computer vision technologies.
- Designed and executed experiments to validate algorithm performance and accuracy.
- Mentored junior engineers and provide technical guidance on vision projects.
- Automated data preprocessing and annotation processes for large datasets.
- Participated in agile development processes and contribute to sprint planning.
Experience
0-2 Years
Level
Junior
Education
BEng in ECE
Computer Vision Engineer Resume
Summary : As a Computer Vision Engineer, maintained a high standard of technical expertise within the team and lead by example, collaborated with cross-functional partners in other teams to define promising directions in the product, identify and eliminate difficulties in the cross-team communication, proactively take part in the product design and implementation of cross-functional tasks.
Skills : PyTorch, Convolutional Neural Networks (CNNs), Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Drove the creation and execution of the team roadmap.
- Prioritized tasks within the team and agreed on priority with stakeholders.
- Collaborated with the top leadership to define and implement the company development strategy.
- Designed and implemented experience in server-side components (business logic, API) with containerized applications, single page UI, infrastructure planning, implementation of continuous integration and delivery pipelines.
- Planned feasible tasks using existing resources.
- Trained and debugged deep learning systems from defining datasets and evaluation metrics, to model training, deployment, failure characterization, and iterative improvement.
- Worked with inputs from multiple cameras and input modes is a plus.
Experience
10+ Years
Level
Senior
Education
MEng in CV
Computer Vision Engineer Resume
Summary : As a Computer Vision Engineer, designed, developed and evaluated the performance of highly scalable and accurate real-time computer vision applications in Python and C++.
Skills : Image Segmentation, Object Detection, Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Performed detailed tests, carried out performance analysis on algorithms, and used continuous integration tools to finely enhance the rapidly deployed algorithms.
- Managed the integration and deployment of Mujins vision systems at customer sites, involving direct client interactions and rapid problem-solving.
- Developed applications and tools in C and Python.
- Developed and implemented algorithms for 3D object detection and recognition in various environments.
- Performed camera calibration to ensure precise measurements in image processing and analysis
- Effectively managed a team of highly qualified machine learning and computer vision engineers.
- Proactively supported the team, expanded it by the team development plan.
- Led a team of engineers in the design and deployment of a real-time image processing system, reducing processing time by 40%.
Experience
10+ Years
Level
Senior
Education
Cert in AI
Computer Vision Engineer Resume
Summary : As a Computer Vision Engineer, built compute intensive computer vision models, collaborated on real world scrappy and innovative data collection strategies.
Skills : Feature Extraction, Image Classification., Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Solved real-world problems with machine learning that democratized sports play practice.
- Created and modified existing DL models.
- Modeled conversion and mobile deployment experience.
- Deployed, GPU-intensive applications.
- Worked with SOTA video and image models.
- Solved cutting-edge scientific and technical challenges related to recognition and pose estimation of a very wide variety of objects in challenging scenarios.
- Analyzed and evaluated state-of-the-art algorithms related to object detection and pose estimation, from both academic and industrial research, and implemented and enhanced them in a production environment.
Experience
7-10 Years
Level
Management
Education
MDS in CV
Computer Vision Engineer Resume
Headline : As a Computer Vision Engineer, implemented and adapted state-of-the-art computer vision algorithms to generate comprehensive annotations and metadata for video datasets, including object segmentation, categorization, optic flow, depth estimation, and semantic scene understanding
Skills : Data Augmentation, 3D Reconstruction., Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Developed and applied mathematical methods to quantify and optimize the coverage of natural scene statisticsmanifolds within curated datasets.
- Collaborated closely with the modeling team to integrate featured datasets into a large-scale multi-modal foundation model of the visual cortex.
- Contributed to the development of novel algorithms that bridge computer vision techniques with neuroscientific insights.
- Defined and solved logical problems for highly technical applications.
- Led activities on structured team development projects.
- Selected, adapted, and effectively used a variety of programming methods.
- Built the latest and greatest machine learning for sports simulation improvement.
Experience
5-7 Years
Level
Senior
Education
AS in CS
Computer Vision Engineer Resume
Headline : As a Computer Vision Engineer, optimized camera capture systems to get the best images for fire detection, developed methods to map AI predictions to other data sources utilizing geometric transforms and artificial intelligence.
Skills : Optical Flow, Image Enhancement, Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Analyzed the results and compare between different algorithms to select the most appropriate mechanism.
- Implemented these algorithms so that they can be deployed to our production systems and drive significant improvements in our business metrics.
- Managed and optimized geometric systems across in-house and cloud systems, taking advantage of the latest technical developments.
- Worked with geospatial data GIS systems.
- Worked with cloud and embedded systems.
- Designed and implemented robust machine learning pipelines for processing and analyzing large-scale video datasets.
- Curated and refined datasets of natural videos for use as stimuli in cutting-edge neuroscience experiments.
- Collaborated with cross-functional teams to integrate machine learning models into computer vision applications, resulting in a 25% increase in predictive accuracy.
Experience
5-7 Years
Level
Senior
Education
Dip in ML
Computer Vision Engineer Resume
Objective : As a Computer Vision Engineer, contributed to computer vision team discussions by providing insight on potential approaches, assisting with troubleshooting and problem solving.
Skills : Pattern Recognition, Video Analysis, Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Developed and deployed algorithms to detect, localize, and monitor wildfires from mountaintop cameras and satellite images.
- Developed and maintained systems related to camera capture, localization, visualization, and geometric understanding.
- Worked with platform engineers to develop novel software solutions to enable real-world handling of a key environmental challenge.
- Worked in an agile environment and balanced developing critical new features with improving the core technical underpinnings of our system.
- Developed systems that work at the intersection of terrestrial cameras and geospatial data.
- Owned the software algorithms that estimate locations, stitch panoramas, and contextually visualize real-world information.
- Improved geometrics models and provide invertible mappings between domains.
Experience
2-5 Years
Level
Executive
Education
BA in Cog Sci
Computer Vision Engineer Resume
Headline : As a Computer Vision Engineer, deployed new global 3D tracking solutions using robotics and computer vision algorithms in C++, conducted debugging and optimization of hardware and software failures across a large network of embedded devices.
Skills : Real-time Processing, Mathematics for Computer Vision, Machine Learning, Deep Learning, Computer Vision, Image Processing
Description :
- Telecommuted is available.
- Created impact through excellent delivery with guidance, supporting development, and implementation phases of Brambles Computer Vision projects.
- Supported initial phases of project workflow including open research, data collection exploration, supervision of annotation efforts, and review approaches.
- Leveraged large data sets to construct and evaluate MLAI prototypes.
- Deployed computer vision release candidates on resource-constrained edge systems.
- Monitored and fine-tuned production ML systems using techniques such as drift monitoring and active learning.
- Reviewed state-of-the-art computer vision techniques and explored their viability on current projects.
- Conducted extensive research on deep learning techniques for image segmentation, contributing to a project that increased segmentation precision by 20%.
Experience
5-7 Years
Level
Senior
Education
MSc in CV
