Daniel Pouzzner
Senior Software Engineer at Massachusetts Institute of Technology McGovern Institute for Brain Research
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Pouzzner is a Senior Software Engineer with a decade of experience building high-throughput data pipelines, high-performance storage, and distributed systems for domains spanning embedded IoT, cybersecurity, and neuroengineering. He has driven record-setting neural data ingestion and processing at Paradromics (65,536 channels, 3 GB/s) and now contributes to wolfSSL’s TLS/crypto stack, improving ECC, AES performance, and robustness for constrained devices. His background blends systems-level C/C++ engineering—DPDK, AVX, NUMA, HDF5, Linux drivers—with applied research at MIT’s McGovern Institute, giving him a rare mix of production-grade engineering and neuroscience domain expertise. An active open-source contributor, he has fixed critical buffer overruns and threading issues in wolfMQTT and wolfSSL, emphasizing security, reliability, and performance. Based in Houston, he specializes in turning complex, high-bandwidth requirements into maintainable, secure systems.
10 years of coding experience
20 years of employment as a software developer
SB, Brain and Cognitive Science, SB, Brain and Cognitive Science at Massachusetts Institute of Technology
Github Skills (23)
ec10
ss10
ssl10
mqtt10
sslv310
c1110
mqttnet10
security10
ecdsa10
c1710
cryptography10
tls129
aes9
mtls9
iot9
Programming languages (9)
Github contributions (5)
wolfSSL/wolfssl
Aug 2020 - Jan 2023
The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud. wolfSSL supports up to TLS 1.3 and DTLS 1.3!
Role in this project:
Security Engineer
Security EngineerContributions:1098 reviews, 787 commits, 779 PRs in 2 years 6 months
Contributions summary:Daniel made contributions primarily focused on enhancing the security and stability of the wolfSSL library. The commits include implementing new functions and fixes related to elliptic curve cryptography (ECC), addressing memory leaks, correcting potential buffer overruns, and improving the performance of AES encryption, with the user also updating API functions related to the OpenSSL compatibility layer. Additionally, the user addressed code quality issues and added features to the TLS stack to improve the libraries' robustness.
trusted-execution-environmentdata-storageopenssl-apiwolfsslfhe
wolfSSL/wolfMQTT
Jul 2020 - Jun 2021
wolfMQTT is a small, fast, portable MQTT client implementation, including support for TLS 1.3.
Role in this project:Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:1 review, 15 commits, 6 PRs in 10 months
Contributions summary:Daniel primarily contributed to bug fixes and enhancements within the wolfMQTT library, a small MQTT client implementation. Their work involved addressing buffer overruns, fixing logic related to address resolution, and refactoring code to improve efficiency. They also addressed issues in the multithreading examples by correcting error propagation and thread management, demonstrating a focus on code quality and reliability within the context of embedded systems and MQTT protocols.
wolfmqttwolfsslmqqt-packetsdltls
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