Summary
Tajh Martin is a Columbia University junior studying Computer Science and Race & Ethnicity Studies, bringing eight years of hands-on experience across academic research and industry internships. They have contributed to interdisciplinary AI and NLP projects at Columbia, focusing on bias mitigation in demographic and emotion detection models, phonetic differences between SAE and AAE, and ethical benchmarks for large language models. Tajh has practical software engineering experience from multiple Microsoft internships where they built testing and automation tools for Xbox and Minecraft using C#, and developed a CLI for visualizing test coverage. At Columbia’s Computer Music Center they explored creative AI affordances, applying KNN reconstruction to field recordings and building web tools that center Black joy on social platforms. Combining technical rigor with a strong equity lens, Tajh bridges machine learning, data analysis, and frontend tooling to make research both reproducible and socially informed. They are based in New York and bring a rare mix of game-engine, web, and NLP experience for a soon-to-be graduate.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Junior, Bachelor's degree, Computer Science, Junior at Columbia University in the City of New York
Senior, Computer Science, Senior, Computer Science at Pattonville Sr. High School