Howard Song

Principal Software Engineer at CBRE

Las Vegas, Nevada, United States
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Summary

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Senior
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Howard Song is a Principal Software Engineer and data practitioner with nine years of experience building production data platforms, predictive models, and data-driven web applications. He combines hands-on data engineering (Snowflake, Airflow, AWS Lambdas) with applied data science skills in R, Python, and SQL to deliver ETL pipelines, automated reporting, and A/B-driven product experiments. At CBRE he recently led development of a data quality monitoring product that integrates FastAPI, React, PostgreSQL and Snowflake with LLM-enhanced workflows, reflecting a blend of modern backend/frontend and generative-AI integration. His background spans building virtual loyalty economies and pricing/simulation models for gaming, plus independent consulting across clinical research, betting, and energy — an unusual mix that signals strong domain adaptability. Based in Las Vegas, he favors pragmatic, automatable solutions and has a long-running habit of continuous study and practice that fuels steady technical breadth.
code9 years of coding experience
job10 years of employment as a software developer
bookRancho High School
bookHuman Developmental and Regenerative Biology, Human Developmental and Regenerative Biology at Harvard University
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Stackoverflow

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Github Skills (1)

internet1

Github contributions (5)

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Contributions:48 commits, 47 pushes, 1 branch in 3 months
Howard19960920/TF-Analysis

Sep 2017 - Mar 2018

Contributions:30 commits, 26 pushes, 1 branch in 5 months
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Howard Song - Principal Software Engineer at CBRE