Open to opportunities

Andrew Jimpson

@andrewjimpson

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Senior ML Engineer specializing in AI systems, real-time analytics, and GenAI architectures.

United States

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What I'm looking for

In my next role, I'm seeking opportunities to leverage my expertise in machine learning, AI systems, and real-time analytics. I’m excited to work on innovative, impactful projects with collaborative teams, where I can continue to mentor others and contribute to building cutting-edge AI solutions.

I hold a Master’s degree in Computer Science from the University of Florida, and my career has spanned notable positions such as Senior Machine Learning Engineer at Elastic, Senior AI Engineer at Confluent, and AI/ML Engineer at UiPath. At these companies, I successfully designed and implemented anomaly detection systems, real-time fraud/event classification models, and GenAI data streaming pipelines, which have delivered measurable business impact.

I specialize in Python, TensorFlow, and Apache Kafka, among other technologies, and am well-versed in cloud platforms like AWS, GCP, and Azure. With a strong foundation in both engineering and machine learning, I focus on building efficient, production-grade systems while continuously improving model performance through rigorous experimentation.

I am also passionate about mentoring the next generation of engineers and fostering a collaborative environment. I’m excited to work with innovative teams that are pushing the boundaries of AI and machine learning.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Elastic

Jan 2022 - Present (3 years 7 months)

Designed and built real-time anomaly detection jobs using Elastic ML features in Kibana, detecting deviations across system and application logs. Engineered dashboards visualizing anomaly scores, trends, and contributing influencers using Kibana, reducing alert noise by 40% and speeding MTTR.

Elasticsearch Kibana Machine Learning Anomaly Detection Time Series Analysis Data Visualization Alerting Incident Management Malware Classification Hyperparameter Tuning

Senior AI Engineer

Confluent, Inc.

Jan 2019 - Dec 2021 (2 years 11 months)

Developed Kafka-integrated ML classifiers using TensorFlow models for real-time event classification, achieving sub-100ms inference latency. Designed real-time ingestion pipelines leveraging Confluent Cloud streaming, Apache Flink, and vector DB connectors for retrieval-augmented generation scenarios.

Kafka TensorFlow Apache Flink Vector Databases AutoML Prometheus NLP MLFlow

AI/ML Engineer

UiPath

Oct 2016 - Dec 2018 (2 years 2 months)

Developed Document Understanding workflows using UiPath ML Activities, implementing OCR preprocessing and building classifier pipelines in AI Center. Achieved 99%+ extraction accuracy for invoice key fields and reduced manual processing time by 40%, significantly improving throughput.

Document Understanding Machine Learning RPA AI Center Data Validation Workflow Automation Process Improvement

Education

Degrees, certifications, and relevant coursework

University of Florida

Master of Science, Computer Science

2014 - 2016

Completed a Master of Science in Computer Science, focusing on advanced topics and research within the field. Gained in-depth knowledge and practical skills in various computer science disciplines.

University of Florida

Bachelor of Science, Computer Science

2010 - 2014

Obtained a Bachelor of Science in Computer Science, building a strong foundation in core computer science principles. Developed essential programming and problem-solving skills.