Deepthi Akkoorath is a Principal Software Engineer based in Berlin with 12 years of experience building high-performance, highly available distributed systems and concurrent software. She co-developed AntidoteDB and the Cure algorithm during her PhD work, delivering geo-replicated, causally consistent key-value stores that are used by academic and industrial partners. Skilled in Erlang, Java, and C++, she focuses on scalability, performance, CRDTs and reducing synchronization in multi-core programs. At Camunda she has driven engineering impact from senior to principal levels, combining research rigor with production-grade implementation. Notably, her background spans both systems-level optimization (vectorized encoding at MulticoreWare) and edge-focused synchronization-free protocols from EU projects, reflecting a rare blend of practical performance tuning and distributed-systems research.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at RPTU Kaiserslautern-Landau
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University of Amsterdam
Bachelor of Technology (BTech) Computer Science and Engineering, Bachelor of Technology (BTech) Computer Science and Engineering at Amrita Vishwa Vidyapeetham, India
Contributions:1 release, 12 pushes, 1 branch in 1 year 7 months
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Deepthi Akkoorath - Principal Software Engineer at Camunda