Open to opportunities

Johnathan Wilson

@johnathanwilson2

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Senior Data Scientist and ML Engineer with a passion for AI solutions.

United States

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What I'm looking for

I am looking for a role that challenges me and allows me to leverage AI to create innovative solutions while fostering a collaborative and growth-oriented company culture.

My journey in technology began as a Full Stack Developer, where I discovered my passion for coding and creating innovative applications. However, it was my exposure to data that truly ignited my career shift towards Machine Learning Engineering. Over the past nine years, I have honed my skills in healthcare, fintech, and manufacturing, developing predictive models and NLP systems that leverage the power of AI to solve complex problems.

At DataRobot, I have successfully developed and deployed fine-tuning workflows for LLM-based applications, achieving significant improvements in enterprise data access. My work has not only focused on technical excellence but also on driving business value, resulting in over $1.2 million in annual savings through automated processes. I thrive on transforming intricate challenges into impactful solutions, and I am excited about the future of AI in enhancing various industries.

Experience

Work history, roles, and key accomplishments

Senior Data Scientist – ML Engineer

DataRobot

Jun 2022 - Present (3 years 1 month)

Developed and deployed fine-tuning workflows for LLM-based applications, enabling a 40% improvement in enterprise data access. Constructed response quality, factual accuracy, and safe usage evaluation systems for hallucination detection and GenAI output evaluation.

LLM RAG Amazon SageMaker NLP Hugging Face scikit learn SQL DataRobot Forecasting Workbench Snowflake PostgreSQL Docker GitHub Actions AWS S3 Databricks REST APIs SHAP

ML Engineer

Welltok

Apr 2019 - Present (6 years 3 months)

Constructed and operationalized a patient risk stratification engine using XGBoost and scikit-learn, decreasing emergency room visits by 22%. Optimized real-time data processing pipelines with Google BigQuery and GCP AI services, enabling fast analytics for massive healthcare datasets.

XGBoost scikit learn Google BigQuery SpaCy NLP SQL Pandas Apache Spark Google Cloud Storage Google Cloud Pub Sub SHAP

AI Engineer

Capgemini

Sep 2017 - Present (7 years 10 months)

Deployed computer vision algorithms for defect detection that self-learn on assembly lines, resulting in a 30% improvement in product quality. Designed an object detection system using TensorFlow and OpenCV to manage retail inventory, which decreased stock discrepancies by 25%.

Computer Vision TensorFlow OpenCV Python IoT

Software Engineer

Betterment

Oct 2014 - Present (10 years 9 months)

Created and improved user engagement by 25% through developing personalized financial applications dashboards on the React based frontend. Developed backend services related to automated investments using Java Spring Boot and PostgreSQL, ensuring the performance of the system can scale effectively.

React Spring Boot PostgreSQL AWS Apache Kafka

Full Stack Developer

Desire2Learn

Oct 2012 - Present (12 years 9 months)

Created and supported dynamic web applications and instructional management features for over 30 million students and educators through JavaScript, Node.js, and MongoDB. Developed REST APIs to provide real-time services such as task monitoring and notification broadcasting to the entire platform.

JavaScript Node MongoDB REST APIs UI UX Design

Education

Degrees, certifications, and relevant coursework

University of Houston

Bachelor of Computer Science, Computer Science

Obtained a Bachelor's degree in Computer Science, building a strong foundation in programming, data structures, and fundamental computer science principles. Prepared for a career in software development and related technical fields.

University of Houston

Master of Computer Science, Computer Science

Completed a Master's degree focusing on advanced topics in computer science. Gained expertise in complex algorithms, software engineering, and potentially specialized areas like artificial intelligence or data science.