Summary
John Balikci is a Lead AI Full Stack Engineer with nine years of experience building production-grade ML and Generative AI systems across healthcare, enterprise, and consumer platforms. He designs end-to-end solutions—RAG-enabled agents, multilingual transcription pipelines, real-time forecasting, and secure MLOps—deployed on cloud platforms like GCP and AWS using tools such as LangChain, FastAPI, Spark, and Vertex AI. Known for turning applied mathematics into practical, auditable models, he blends rigorous analytics with clean engineering to deliver high-availability, compliant pipelines that drive measurable business outcomes. His background teaching advanced calculus and mentoring data scientists contributes to a rare depth in both theory and practitioner-focused deployment. Based in Round Rock, TX, John is adept at embedding GenAI into CI/CD workflows and building modular microservices that prioritize security and metadata governance.
9 years of coding experience
9 years of employment as a software developer
University of Texas at San Antonio
The Data Analytics and Visualization, The Data Analytics and Visualization at The University of Texas at Austin
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Dokuz Eylul University
English, Turkish, Kurdish