Summary
Taewoo Kim is a Lead Engineer in New York with 10 years of experience building production-grade ML systems, high-throughput web platforms, and performance marketing stacks. He has led end-to-end deep learning projects—from designing CNNs for face recognition and GPU cluster orchestration to deploying dockerized REST APIs—and applies similar rigor to quantitative finance work using ARIMA, LSTM, and genetic programming for signal discovery. Previously a CTO and growth-focused technologist, he has driven large-scale customer acquisition and systems that turned marketing leads into multimillion-dollar revenue outcomes. Comfortable across LAMP, Python, Keras/TensorFlow, and cloud GPU infrastructure, he blends hands-on engineering with data-driven growth strategies. An interesting thread through his career is pairing aggressive automation (headless browser data collection, large-scale backtests) with pragmatic product deployment to turn experimental models into operational services.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics and Computer Science, A-, Bachelor of Arts (B.A.), Mathematics and Computer Science, A- at Boston College
Graduated, Graduated at Bronx High School of Science
Korean, English, Spanish