Summary
Abhinav Bajaj is an engineer with 12 years of experience building distributed, data-intensive systems and scalable cloud platforms from startups to large enterprises. He has led design and delivery of multi-tenant, self‑served platforms for stream and batch processing (Apache Flink, Spark) on Kubernetes and AWS, driving features like multi-region availability, near-zero downtime upgrades, and managed maintenance under strict SLAs. His recent work spans AI agentic systems and senior roles at AWS RDS and EMR, reflecting a shift from platform engineering to AI-infused infrastructure. He combines hands-on implementation with cross-team technical leadership, mentoring engineers and collaborating with product stakeholders to turn ambiguous problems into data-driven roadmaps. Early roles include CTO of a grid-monitoring startup where he applied SVM-based anomaly detection in the field, showing a long-standing interest in applied ML and productization. Based in the San Francisco Bay Area, he marries deep backend and cloud expertise with a practical product mindset forged at Columbia and across global engineering organizations.
12 years of coding experience
15 years of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Panjab University
Master of Science in Computer Science Computer Science, Master of Science in Computer Science Computer Science at Columbia University
English