Summary
Suryakiran S is a versatile software engineer and analyst with nine years of experience building production ML and data platforms, currently at Goldman Sachs after recent AI/ML work at AT&T Labs and NYU. He bridges research and production—having led a no-code data science platform on Azure Databricks, improved object-detection accuracy by 10% in industry projects, and automated cash-application workflows that halved manual effort. A Courant MSCS student with strong academic credentials and teaching experience in probability, linear algebra, and computer vision, he combines deep technical breadth (Python, Java, C++, Go, Spark) with practical delivery. Suryaakiran’s work often targets developer productivity and operational wins—examples include Java parsers that raised data accuracy to 95% and CI/CD-backed APIs that sped deployments. Curious about LLMs and real-world impact, he enjoys turning complex data problems into elegant, user-facing solutions.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.85/4.00, Master of Science - MS, Computer Science, 3.85/4.00 at New York University
Bachelor of Engineering - BE, Computer Science and Engineering, 9.1/10.0, Bachelor of Engineering - BE, Computer Science and Engineering, 9.1/10.0 at Thiagarajar College of Engineering
ISC, ISC at Lakshmi school
English, Tamil