Onyecherelam Henry Agbaeze
Machine Learning Engineer
Seattle,WA
Summary
AI & Machine Learning Engineer with over 9 years of experience in building scalable solutions for Big Data, Machine Learning, and MLOps. Proficient in developing distributed systems with Spark, Kafka, and Azure, and deploying models using TensorFlow, PyTorch, and HuggingFace. Expertise includes Reinforcement Learning (RLHF), Federated Learning, and anomaly detection. Skilled in designing MLOps pipelines for deployment, monitoring, and retraining, utilizing Docker, Kubernetes, and Azure ML. Strong background in distributed training (Horovod, PyTorch DDP) and optimizing inference on edge devices and serverless architectures. Proven ability to collaborate with cross-functional teams to deliver impactful, large-scale solutions.
Overview
12
12
years of professional experience
7
7
years of post-secondary education
4
4
Certifications
Work History
Machine Learning Engineer
Microsoft
3 2020 - Current
- Model Deployment & MLOps: Streamlined model deployment processes using MLOps best practices, containerization (Docker, Kubernetes), and scalable inference on edge devices and serverless architectures to ensure low-latency responses.
- Scalable Model Inference: Ensured scalable, low-latency model inference on edge devices and serverless architectures, delivering optimal user experiences.
- Anomaly & Fraud Detection: Implemented anomaly and fraud detection models for financial data and user behavior, increasing retention by 30% using GANs and Graph Neural Networks for feature engineering.
- Federated Learning: Implemented federated learning strategies for privacy-preserving and decentralized model training.
- Distributed Training & Model Inference: Led distributed training of models using HPC frameworks like Horovod and PyTorch DDP, and optimized model inference using TensorRT, ONNX, and quantization techniques for performance gains.
- Risk Mitigation in Text Data: Designed models to detect, flag, and mitigate risks in user-generated and machine-generated text, including log files and transactional data.
Research Scientist /Machine Learning Engineer
Alfa Insurance
08.2018 - 02.2020
- Built and deployed Frequency and Severity models for Risk Prediction
- Use Insurance data to model Accident occurrence and build product Quote/Bind Classifier using Graph Neural networks
- Complete data encryption and decryption tasks to adhere to General Data Protection Regulations (GDPR)
- Implement Retention models for Customer Value scoring
Graduate Research Assistant
Troy University
05.2017 - 08.2018
- Conducted research in advanced machine learning topics, including Probabilistic Deep Learning, Reinforcement Learning, Policy Control, NLP, and statistical models, contributing to cutting-edge advancements in the field.
- Assisted in teaching courses on Probabilistic Deep Learning, Policy Control, and Reinforcement Learning, guiding students through complex concepts, hands-on labs, and real-world applications.
- Provided instruction and support in Natural Language Processing (NLP) and Statistical Modeling, helping students understand practical applications of these techniques in AI and data science.
- Collaborated on research projects to develop novel machine learning models, focusing on performance improvements and solving real-world problems.
- Mentored students on their projects, providing feedback on research methodologies, model development, and statistical analysis.
Data Analyst
Dowen College
10.2015 - 07.2016
- Identified and documented detailed business rules and use cases based on requirements analysis.
- Researched and resolved issues regarding integrity of data flow into databases.
- Data Cleaning and Visualization
- Build and deployed model for predicting future customer behavior using Time Series Analysis using Recurrent Neural Network
- Prepared correspondence, accounting and financial documents for analysis.
- Analyzed, reviewed previous data for future forecasting
Network Analyst
Syntech
03.2013 - 08.2015
- Build and deployed Network anomaly detection algorithms
- Team lead for building DoS detection classifier Using Bayesian learning
- Implement RIPv2, OSPF,EIGRP for network convergence.
- Administered software licensing and purchasing for effective installation of network.
- Mitigated risk by analyzing complex computer systems to assess vulnerabilities.
- Troubleshot and maintained networking devices and infrastructure across enterprise.
- Configured and installed wireless controllers, routers and switches.
Education
Master of Science - Computer Science - Artificial Intelligence
Troy University
Troy, AL 08.2016 - 12.2018
Bachelor of Science - Computer Science And Mathematics
University of Nigeria
Nsukka 10.2008 - 06.2013
MOOC -
Coursera Courses (MOOC)
Online 05.2001 -
Skills
Python, R, Scala
Certification
Mathematics for Machine Learning Specialization(DT3775NRVZB7)
Projects
- Photo OCR tool for Extracting customer features
- Fraud detection Model Using NLP and a GBM Tree based Classifier
- Heart rate Model Analysis using ECG data
Timeline
Research Scientist /Machine Learning Engineer
Alfa Insurance
08.2018 - 02.2020
Coursera Deep Learning Specialization (Z9H2DQ494TNH)
07-2018
Mathematics for Machine Learning Specialization(DT3775NRVZB7)
01-2018
Graduate Research Assistant
Troy University
05.2017 - 08.2018
Data Scientist Certificate from DataCamp
02-2017
Master of Science - Computer Science - Artificial Intelligence
Troy University
08.2016 - 12.2018
Data Analyst
Dowen College
10.2015 - 07.2016
Cisco Certified Network Associate Security(CCNA + CCNAS) IINS (CSCO12620489)
05-2013
Network Analyst
Syntech
03.2013 - 08.2015
Bachelor of Science - Computer Science And Mathematics
University of Nigeria
10.2008 - 06.2013
MOOC -
Coursera Courses (MOOC)
05.2001 -
Machine Learning Engineer
Microsoft
3 2020 - Current
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