Moses Darko
Roanoke,Virginia
Summary
I am a senior computer vision engineer and machine learning engineer who have 10+ years of experience in research, development and production of computer vision, machine learning and some android.
I have already started getting specialized in machine learning and deep learning fields since 2014, completed over 20 specialized courses and have done dozens of related projects, at least 250+ projects.
Overview
10
10
years of professional experience
Work History
Machine Learning Team Lead
Aware
01.2023 - 05.2024
- Developing Face Anti-Spoof Models for Presentation Attack Detection
- Developed training pipelines for Face Recognition and Facial Landmark Localization models using TensorFlow 2.0
- Designed C++ wrapper for TensorFlow Lite C API which was critical for ranking models for Face Recognition Vendor Test (FRVT)
- Supporting the Research Group with various model training, data processing and software issues
Senior Machine Learning Egineer
Sensetime
07.2022 - 10.2022
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
- Prototyped machine learning applications and quickly determined application viability.
- Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
- Mapping images/videos pixels to 3D structure for 6D Pose Estimation, using Canonical Surface Mapping and Uncertainty Quantification in Deep Learning.
Machine Learning Engineer
Astek Consulting
08.2021 - 05.2022
- Prototyped machine learning applications and quickly determined application viability.
- Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
- Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
- Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.
- Researched and developed state-of-the-art Explainable AI (XAI) algorithms on neural networks for speech applications.
- Ablation of neurons to study the effects of individual/groups of neurons on the model's performance.
Data Scientist Engineer
Orange Business Services
07.2014 - 04.2021
- Streamlined data collection methods to improve quality control measures and minimize errors in analysis results.
- Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
- Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
- Evaluated emerging technologies to assess potential applications within the organization''s existing infrastructure or future projects.
- Research and development of state-of-the-art CNN/LSTM to detect stress emotions in audio clips.
- Implementation of a visual web application for Orange’s internal use of the trained models.
Education
Master of Science - Computer Engineering
San Francisco State University
San Francisco, CA11.2013
Skills
- Customer Focus
- Coaching and Mentoring
- Performance monitoring
- Performance Improvement
- Python
- C/C, C#
- TensorFlow, PyTorch, CoreML,
- Java, Kotlin
- Swift, Object-C
- GPT-3, GPT-4, ChatGPT API Integration
- Stable Diffusion , Dreamfusion, Midjourney and Dall-E
- GitHub, GitLab, BitBucket
- SSD, YoLo, Tracknet, Mobilenet, Resnet, Deepstream
- Jetson Nano, Raspberry Pi
Languages
English
Full Professional
Timeline
Machine Learning Team Lead
Aware
01.2023 - 05.2024
Senior Machine Learning Egineer
Sensetime
07.2022 - 10.2022
Machine Learning Engineer
Astek Consulting
08.2021 - 05.2022
Data Scientist Engineer
Orange Business Services
07.2014 - 04.2021
Master of Science - Computer Engineering
San Francisco State University