Chung-Yen (Matt) Chiang

Software Development Engineer @ Amazon · Wireless & Systems

I build reliability-focused Wi-Fi/BLE systems for global IoT devices.
I care about measurable impact: performance, latency, stability, interoperability, and power.

Research Interest Wireless & Network Performance, System-Level Measurement.

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Education

National Taiwan University of Science and Technology 2019 – 2023

B.B.A. in Information Management · GPA 4.01/4.30
Academic Excellence Award (Spring 2021, Fall 2021, Spring 2022)

Professional Experience

Software Development Engineer II Apr 2026 – Present

Amazon Connectivity Team

Cross-Layer Performance: lifted end-to-end Wi-Fi throughput 2.36× (10.59 → 25 Mbps) on FreeRTOS via profiling from PHY through SDIO, kernel, and application; resolved IMI memory bottleneck (SDIO), TCP shared-lock and mutex contention (kernel), and application memory contention, plus CPU overclock tuning.
Dynamic NVRAM/CLM Loading: architected runtime loading from flash, enabling a single firmware image to serve multiple SKUs and regulatory regions without per-region rebuild.
Wireless Bring-up: led Wi-Fi/BLE bring-up on next-gen ASIC platforms; integrated wireless chipset BSPs/SDKs into production FreeRTOS firmware for NPI programs.
RF Validation Firmware: owned delivery of purpose-built images to unblock RF, antenna, and platform validation engineers across NPI cycles.
Cross-Layer Debugging: drove root-cause analysis and resolution of 10+ firmware tickets across Wi-Fi, BLE, and platform stacks, from internal validation reports through field escalations.

Keywords: Cross-Layer Profiling · Embedded Networking · Wi-Fi/BLE · FreeRTOS · BSP/SDK · NVRAM/CLM · NPI

Software Development Engineer I Aug 2023 – Mar 2026

Amazon Connectivity Team

Secure Provisioning: built a modular BLE setup subsystem from scratch with end-to-end encryption and dynamic country-code configuration, enabling global SKU deployment from a single firmware base.
Measurement-Driven Optimization: characterized unstable network reconnection and redesigned DHCP logic, reducing reconnection latency by 76% under challenging environments.
Latency-Sensitive Performance: tuned WMM QoS (EDCA) parameters to prioritize latency-sensitive traffic, improving p99 latency for streaming services by 24%.
Power Efficiency: developed Wi-Fi power-saving and wake-up pattern mechanisms, extending battery-operated IoT device standby from 40 to 65 days.
Sustained Ownership: resolved 50+ firmware tickets across Wi-Fi, BLE, and connectivity stack from internal validation and field reports.

Keywords: Embedded Networking · Wi-Fi/BLE · FreeRTOS · WMM/EDCA · DHCP · Power Management · BLE Security

Software Development Engineer Intern Sep 2022 – Jul 2023

Amazon Connectivity Team

Redesigned priority-oriented wireless connection logic to improve consistency across heterogeneous IoT ecosystems.
Debugged and resolved 20+ critical firmware issues during validation of major product launches.
Built automated diagnostic tools for interoperability testing across 60+ commercial router models.

Keywords: Interoperability · Tooling · Debugging · Wi-Fi

Research & Publications

Secure Channels for Smart Manufacturing Systems in Cloud Environments ↗ Jul 2021 – Feb 2022

Recipient · MOST Undergraduate Research Scholarship Advisor: Prof. Nai-Wei Lo ↗

1st Author · Cryptology and Information Security Conference (CISC) 2022

Researched and implemented Site-to-Site IPsec secure channels for industrial communication between local gateways and AWS VPC.
Conducted deep packet inspection (DPI) with Wireshark and benchmarked performance using iPerf3 and Netperf.
Investigated ARMv8 Cryptographic Extensions to accelerate encryption/decryption on resource-constrained devices.

Stack: IPsec · AWS VPC · ARMv8 Cryptography · Wireshark · iPerf3

Anti-Evasion Techniques in Cuckoo Monitor ↗ Jul 2022 – Aug 2022

Research Intern · Academia Sinica Advisor: Prof. Meng Chang Chen ↗

Reverse-engineered obfuscated malware using IDA Pro to identify sandbox evasion triggers and anti-analysis behaviors.
Researched hardware-level evasion techniques (CPU/registry checks) to improve detection accuracy of analysis environments.
Implemented a modular detection framework in C and Python to extend the Cuckoo Sandbox monitor.

Stack: C · Python · IDA Pro · Cuckoo Sandbox · Malware Analysis

Billiards Guidance via HoloLens 2 ↗ Jul 2021 – May 2022

Team Developer · Special Topics in Information Management Advisor: Prof. Chuan-Kai Yang ↗