Ike Stevens Email & Phone Number

Washington, DC, US

• Developed scalable machine learning pipelines in AWS SageMaker, training and tuning both scikit-learn and PyTorch models for deployment to AWS Lambda functions, achieving millions of daily inferences with high.
• Built and deployed streamlit app internally to showcase our match model and explain the submodel scores and matching features, facilitating in the transparency and interpretability of our model for stakeholders
• Optimized and simplified the title submodel within our job/resume matching algorithm, achieving a marked improvement in prediction accuracy by 5%, enhancing the overall performance of our match model
• Led the research and deployment of a Generative AI feature as a prompt engineer, successfully allowing users to automate the creation of personalized cover letters in their applications
• Developed a Retrieval-Augmented Generation (RAG) model to categorize jobs using our proprietary Knowledge Graph taxonomy, and built a Streamlit application to showcase real-time vector database querying and prompt.

Arlington, Virginia, United States

• Designed and maintained ETL pipelines and databases that update data on public-facing website
• Developed cloud based microservice APIs serving data from predictive ML models trained on curated data
• Automated and aggregated analytics reports from several data sources and visualized for stakeholders
• Led Big Data team of 5 developers as tech lead

Arlington, Virginia

• Built two text classification models using natural language processing (NLP) techniques such as TF-IDF vectorization and support vector machines in Python and embedded them in a production system using ONNX and C# to.
• Developed and deployed Python Dash app using Docker that facilitated model interpretability
• Wrote and deployed data ETL pipeline and integrated data monitoring dashboard through Tableau
• Robust NLP experience including web scraping, file parsing, sentiment analysis, topic clustering, entity extraction, text classification, word embeddings, neural networks
• Search optimization research and development (Elastic Engineer Certified)
• Trained over 80 business analysts, management professionals, and executives on data science concepts to promote leveraging analytics to increase efficiency in day-to-day operations.

Beijing

• Analyzed indicators for detecting and preventing driver/rider fraud
• Saved the company thousands of dollars by banning fraudulent drivers
• Sorted and collected data for fraud prevention and driver incentives
• Trained several new interns and aggregated on-boarding information for future use
• Assisted with translation for marketing team
• Communicated completely in Mandarin as the only foreigner on a team of 15

MT Washington D.C.

• Collected, analyzed, examined, and presented economic data to assist researchers in policy making
• Updated and maintained daily memo on currency movements via Bloomberg
• Attended and reported on meetings regarding economic policy
• Researched topics including China overcapacity and One Belt One Road (in Mandarin)
• Participated in the annual U.S. China Economic and Strategic Dialogue

Brigham Young University

• Taught 30+ students through weekly review sessions
• Graded around 25 student papers weekly
• Tutored students individually to help them learn difficult economic concepts

Master'S Of Science, Data Science

Grade: 3.972 GPA Coursework: Linear Models, Data Mining, Big Data Systems and PySpark, Foundations of Computer Science 1 & 2, Natural.

Bachelor’S Degree, Economics, Mandarin

Economics BA, Mandarin BA, Math minor

Economics

As a participant in the Chinese Flagship Program funded by the US Department of Defense, I studied as a directly enrolled student for one.