Alfaz Ahmed

Led design and development of core distributed storage features, including snapshotting and changed block tracking for efficient backups and disaster recovery. Owned end-to-end delivery of features in a highly concurrent, fault-tolerant system, and designed agentic AI systems for production use.
Joined at MTS-4, was promoted after 1 year to to Tech Lead, currently leading a team of 4 SDEs.

Part of a small team responsible for the end-to-end logging framework for all Amazon devices and applications.
Led design, development, and delivery of a new log and crash monitoring feature for Alexa/Echo devices, running on 100 million+ Alexa devices globally.

Owned end-to-end design and C++ implementation of Segment Routing Traffic Engineering (SR-TE) policies in EOS's IGP routing, enabling engineered path selection beyond default shortest-path — supporting traffic-engineering use cases like improved link utilization and sub-50ms failure reroute across high-scale production networks.

Part of Analyzer R&D team responsible for development and maintenance of a Verilog/VHDL compiler. Developed new language features, implemented optimizations to speed up compilation, and resolved critical customer issues.
Was promoted to Lead MTS after 2 years as SMTS.

Worked with the Incisive Enterprise Simulator R&D team, implementing simulator enhancements and bug fixes, coded in C.

Developed a two-factor authentication system for SSH login into Linux servers, writing the client in C and the server using RESTful web APIs in Java.

Pursued a Bachelor of Engineering in Computer Science and Technology, graduating in 2015.

Completed a Deep Learning Specialization instructed by Andrew Ng.