M U D U O W A N G

Master of Science: Data Science

Bellevue University

Bachelor of Arts: Biblical Studies

Moody Bible Institute

Expert Machine Learning Engineer with 7 years of experience building scalable, cloud, and cutting-edge data/AI pipelines.

Fluent in project management, system design, and analytics. adygry@r.postjobfree.com Lead Machine Learning Engineer

Bayer - Climate - Remote • 1/2023 - 06/2023

● Leading team of 3 engineers in product-readiness assessment for multiple applications throughout the different domain

● Consulted as SME on ML, production readiness, and systems design organization-wide

● Training other team members in Python, PySpark, and development practices

● Rapidly developed and deployed testing for a legacy codebase with 50,000+ lines and successfully deployed to production requirements

● Designed sprint planning for other team members and completed projects successfully

● Presented reports and results to multiple stakeholders on managed projects Machine Learning Engineer

Omnicell - Remote • 4/2021 - 1/2023

● Designing and leading projects with teams of 8-10 engineers to complete sprints for several projects to stakeholder/management requirements

224-***-****

github.com/Mwang413

https://www.linkedin.com/in/is

aiah-wang-937a15203/

EXPERTISE

Neural Networks: RNNs

(LSTM), BERTs (ChatGPT-3,

GAN), CNNs (ResNet, VGG)

NLP: RegEx matching, TF-IDF,

tokenization, OCR, NER,

SpaCy

Programming: Python, Keras,

Tensorflow, PyTorch, Pandas,

● Facilitating training for 200+ other developers and data scientists in statistics, ML, data, and cloud to bring them up to speed on current technologies

● Research and developing AI solutions based on the latest research, successfully implementing numerous projects to fit client’s needs

● Architecting cloud and distributed data pipelines to process and cleanse large structured and unstructured data sets, bringing data to front-end and other back-end teams for production and development

● Building linguistic data pipeline with feature engineering techniques, mathematically extracting sentiment from textual data

● Designing end-to-end business intelligence and automation solutions with scalable and replicated SQL and NoSQL databases

● Documenting processes for data, workflow, system-to-system interfacing, fulfilling auditing/reporting/production requirements

Data/AI Consultant

Width.ai - Remote • 08/2019 - 11/2021

● Automated $100,000+ annual cost of operations

● Unified ML systems development and deployment to standardize and streamline the continuous delivery of high-performing models in production

● Developed end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understandings of cloud platforms, AI lifecycle, and business problems

● Developed test plans, test data sets, and automated testing to ensure all components of the system meet specifications

● Automated CI/CD on QA/Prod environments

SpaCy, Java, C++, Rust, Go,

UNIX/LINUX, SQL, R

Cloud: AWS, Glue, Sagemaker,

Azure, distributed training

ETL: Kafka, Spark, Airflow,

Hive

Research: OpenAI, NVIDIA,

Papers With Code, arXiv,

MLFlow, supervised learning,

deep learning, reinforcement

learning, and Multi-agent

systems, GPT/transformers,

paperswithcode, spaCy

Ops: Kubernetes, Docker,

Terraform, Databricks,

MLFlow, Cloudwatch, Gitlab,

CI/CD,

VISUALISATION: Tableau,

PowerBI, Matplotlib,

Seaborn, Plotly

● Designed end-to-end pipelines with AWS Sagemaker with Feature Store, model monitoring to ensure data and model quality, bias, and explainability, create CI/CD for cross-team development

Data/ML/OPs Engineer

Moody Global Ministries - Chicago, IL • 01/2016 - 08/2019

● Architected PostgreSQL Databases for processing 20,000+ read/writes per second

● Designed PoCs and architectures for MySQL, Snowflake, Redshift, RDS, S3, CockroachDB, Cassandra, and MongoDB

● Designed database schema objects including tables, indexes, stored procedures, and user-defined functions for database applications

● Implemented vertically, horizontally scalable databases On-Prem and in Cloud

● Gathered business requirements to deliver efficient, scalable, and sustainable analytics Management: Scrum, Jira,

Vision-casting,

systems-design

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