Summary
Kalpesh Dusane is a Principal Member of Technical Staff at Oracle with eight years of experience designing high-performance, production-grade systems and event-driven architectures. He currently drives In-Stream Real-Time Inference and agentic AI workflow demos for Oracle TxEventQ, and previously built a proof-of-concept stream processing engine to execute Apache Flink/TableAPI programs inside the Oracle server. Proficient in C/C++ and distributed systems, he has hands-on experience across C, C++, Java, C#, and SQL and a strong grounding in algorithms from an MTech in Computer Science at IIT Bombay. His work combines deep systems engineering—solving concurrency, library cache consistency, and migration-without-downtime challenges—with applied ML expertise from thesis research on depth estimation and underwater image restoration. Based in Bengaluru, he pairs a rigorous academic background with practical impact, including tooling and documentation that eased large-scale customer migrations and showcased novel runtime capabilities.
8 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Bombay
High School, Computer Science, 86% (top 1% in Maharashtra State Board), High School, Computer Science, 86% (top 1% in Maharashtra State Board) at Vidyavardhini's E.S. Andrades College of Science (Vartak College) - University of Mumbai
Bachelor's degree, Computer Engineering, 72.41% (2nd rank in the college's computer science department), Bachelor's degree, Computer Engineering, 72.41% (2nd rank in the college's computer science department) at Savitribai Phule Pune University
English, Marathi, Hindi