Summary
Chaitu Konjeti is an applied data scientist with a decade of experience bridging research and production ML, currently working at Old National Bank after a multi-year data science role at General Motors. He combines academic research in social dynamics and wellbeing with hands-on systems work—building RAG pipelines with LangChain/GPT-4, recommendation engines, and production Java/Spring frontends. His background spans NLP for social media analysis, survival-analysis crime prediction, and analytical work using SportVU sports data, reflecting a knack for turning diverse, noisy signals into actionable models. Proficient in Python, Java, and Scala, he has shipped models and features that scaled nationally and automated complex SQL generation for business teams. Based in Austin, he brings the curiosity of a researcher and the delivery focus of an engineer, often surfacing behavioral insights that aren’t obvious from raw metrics alone.
10 years of coding experience
6 years of employment as a software developer
Computer Science Machine Learning/AI and Human-Computer Interaction, Computer Science Machine Learning/AI and Human-Computer Interaction at Georgia Institute of Technology
Telugu, English