Jonathan Jeng Email & Phone Number

Arlington, VA, US

• Developed and maintained automated software pipelines using Python and Docker to leverage large datasets.
• Iterate on containers (Docker images) in a CI environment to reduce space complexity and mitigate security risks.
• Manage and analyze big data, including geospatial data and AWS costs, using distributed computation (e.g., Airfow environment using Kubernetes pods) for machine learning workfows and Tableau.

Hanover, MD, US

• Developed manufacturing software and pipelines for collecting and visualizing metrics in a notebook environment.
• Established seamless data flow by integrating sources and services utilizing Presto, MySQL, and various endpoints.
• Optimized performance and improved functionality by refactoring code and improving data handling.
• Tools used: Python (with libraries), Docker, Mercurial, MySQL, Presto, Hive, Jupyter, Bash.

Falls Church, Virginia, US

• Through knowledge of Python, designed and implemented machine learning models (e.g., an encoder-decoder with convolutional layers and skip connections).
• Trained and deployed computational models and other preparations in UNIX environments, with knowledge and background concerning GCP as well as technical knowledge using internal compute.
• Tools used: Python (with libraries such as numpy, pandas, matplotlib), Tensorflow, Keras, XGBoost, Dask, Git.

Milpitas, California, US

• Shaped efforts for PoCs and other projects such as for entities seeking to implement machine learning and seeking technical knowledge.
• Utilized Google Cloud Platform for machine learning APIs, more fundamental estimators and tools, as well as end-to-end pipelines with tasks such as transforming big data and using it for time series forecasting with.
• Spoke at and/or instructed university classes with demonstrations, talks at Google Cloud Next, and Google and customer workshops.

Milpitas, California, US

• Leveraged Google Cloud BigQuery in conjunction with Cloud Storage and Cloud Datalab to prepare and analyze data.
• Implemented models for churn prediction and loan delinquency prediction via the Tensorflow Estimator API and tuned these via Cloud Machine Learning Engine.
• Interpreted models and model predictions through means and calculations such as SHAP values

• Refurbished computers – diagnosed faulty hardware, prepared OSes, and addressed various deficiencies.
• Contributed to individual records of the states of systems as well as an inventory.
• Distributed computers to users.

• Prepared fMRI and other experiments using E-Prime software
• Conducted EEG recordings
• Monitored experimental subjects and recording equipment

• Prepared EEG recordings
• Used MATLAB software to conduct EEG recordings and analyze results
• Monitored experimental subjects

Master’S Degree, Computer Science And Engineering

Bachelor'S Degree, Cell/Cellular And Molecular Biology - Neurobiology; Cognitive Science