Summary
Kamil Orujzade is a software development engineer with over a decade of professional experience and 7+ years focused on speech and text-to-speech systems, currently building voice-building services and ML infrastructure for Amazon Polly and Alexa in Cambridge. He has driven end-to-end real-time transcription and analytics projects at Microsoft—taking prototypes to production across C#, C++ and cloud platforms—and has strong hands-on expertise in scalable, low-footprint inference and SDK engineering. Comfortable across cloud-native data pipelines (Apache Beam on GCP), mobile and backend stacks, he regularly partners with language engineers, applied scientists and customers to turn research ideas into production features. Notably, his background spans both deep systems work (inference runtimes, Service Fabric) and product-facing integrations that accelerated customer onboarding, reflecting a rare mix of low-level optimization and pragmatic delivery.
11 years of coding experience
4 years of employment as a software developer
BSc (Hons), Computer Science, Second Degree, Division One, BSc (Hons), Computer Science, Second Degree, Division One at The University of Manchester
MSc, Computer Science, MSc, Computer Science at Technical University Munich
Attestation, Senior education, 4.94 out of 5, Attestation, Senior education, 4.94 out of 5 at No 91 Primary/Senior School
Foundation degree, Computer Engineering, Graduate score - 93.75, Foundation degree, Computer Engineering, Graduate score - 93.75 at Qafqaz University
English, Turkish, Azerbaijani, German