• Building an AI SRE teammate

Key Achievements:

• Contributed to data and model training pipeline for TensorFlow-based pricing algorithm, leading to 10% performance uplift in gross profit

• Developed low-latency ML pricing web service in Go that performed experimentation, feature retrieval, model prediction, and price presentation with < 50 millisecond SLA

• 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

• Spearheaded technical specifications, prototyping, software implementation, unit / integration testing, monitoring, and deployment of web service

• Built batch and streaming data pipelines for merchant features using Airflow, dbt, and Apache Flink SQL, increasing gross profit by 3%

Key Achievements:

• Led a team of 3 data scientists and data analysts that optimized a food delivery recommendation

system

• Built recommendation system driving 2 million incremental bookings every month and leading to 15% performance uplift versus existing models (Patent No. 10201912472U).

• Implemented web service to retrieve and rank recommendations via Redis, an in-memory relational database (SingleStore), and TensorFlow

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.

Performed data modeling and valuation analyses, and prepared client presentations for M&A and debt / equity financings