Khalid Ali Email & Phone Number

Texas, United States

Santa Barbara, California, United States

- Built React components with React Router and Bootstrap to offer better UX alongside legacy Rails views + AJAX.- Utilized a Controller-Service-Model pattern alongside ActiveRecord to manage the complexity of our product.- Maintained boundaries between different domains of our monolith with Packwerk and service injections.- Wrote integration tests in.

Seattle, Washington, United States

• Refactored two services from a monolithic towards a micro-service architecture.
• Improved a backend service with updated design patterns.
• Cross-team collaboration to manage expectations and timely delivery of milestones.
• Took ownership of a project to deploy services facing live customer traffic successfully.

Seattle, Washington, United States

• Migrated a production application to AWS Lambda running native Java with JDK 11 for greater efficiency
• Designed and wrote automated integration tests to maintain code quality
• Assumed ownership of an effort to drive all tasks to completion that included systems design, implementation, reviews, and presentations to the management staff
• Refactored existing code from imperative to functional style to make the code more modular, improve readability, and avail parallelism

• Rewrote and reused a multithreaded machine learning engine, Dragonfly, from C into C++.
• Added Pistache C++ webserver to connect to a team member’s frontend GUI.
• Collaborated with team members to define goals, manage expectations, and refine the product.
• Built project with CMake and deployed product using Docker containers with Docker Compose.
• Performed more accurate predictions with a PyTorch neural network model in Python and C++.

Working on multiple projects utilizing technologies such as Keras and Tensorflow to create neural networks as well as Apache Spark and Pandas to perform ETL in Python. Currently, I'm working on a product that is being built on Amazon's ecosystem. Amazon's EC2 instances create a data pipeline that performs ETL on live, incoming data and produces output into.

United States

Provided ETL services on massive datasets with a hundred thousand rows and millions of columns. Used Python in combination with Hadoop and Numpy to save the data in a file system. Then, provided two approaches for the ML process. One used Google’s Tensorflow to create an LSTM network to classify different word2vec matrices. The second one used Keras in a.

Raw unstructured text transformation to CSV file using Python. Ran anomaly detection and frequency analysis algorithms using Apache Spark. The results were rendered into an HTML view. Once the process flow was verified from beginning to the end, it was automated for repeatability. All the work was done on AWS.Used: Bash, Scala, Python, AWS, and Apache Spark

Taught a programming class titled Introduction to Python. Some of the participants were college students finishing their degrees and looking to learn new skills. Responsibilities included delivering the lecture and assist the students in the lab session.

Bachelor'S Degree, Computer Science, 3.87

Includes a Minor in Business

Machine Learning Engineer Nanodegree, Machine Learning