I'm an AI Engineer working on an AI SRE agent.
I have a strong background in machine learning engineering, specializing in productionizing recommendations systems, pricing systems, and agents.
Contributed to data and model training pipeline for TensorFlow-based pricing algorithm, leading to 10% performance uplift in gross profit
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Developed low-latency ML pricing web service in Go that performed experimentation, feature retrieval, model prediction, and price presentation with < 50 millisecond SLA
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Applied linear programming techniques to translate government regulations and business requirements into linear constraints within pricing models, handling peak throughput of 2,000 requests per second
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Spearheaded technical specifications, prototyping, software implementation, unit / integration testing, monitoring, and deployment of web service
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Built batch and streaming data pipelines for merchant features using Airflow, dbt, and Apache Flink SQL, increasing gross profit by 3%
Led a team of 3 data scientists and data analysts that optimized a food delivery recommendation
system
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Built recommendation system driving 2 million incremental bookings every month and leading to 15% performance uplift versus existing models (Patent No. 10201912472U).
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Implemented web service to retrieve and rank recommendations via Redis, an in-memory relational database (SingleStore), and TensorFlow
42 countries across North America, South America, Europe, Africa, and Asia
Completed data science and machine learning coursework while traveling across 42 countries and 5 continents.
Focused on personal development, diverse experiences, and cultural immersion.
Pursued additional hobbies, including: learning Portuguese, trekking for two weeks in Himalayas, scuba diving in three continents, salsa dancing, kite surfing, and a 10-day Vipassana silent meditation retreat.
