Yifeng Frank Huang

Yifeng Frank Huang Email and Phone Number

AI Software Engineer @ Fractional AI
Stanford, CA, US
Yifeng Frank Huang's Location
Stanford, California, United States, United States
Yifeng Frank Huang's Contact Details

Yifeng Frank Huang personal email

About Yifeng Frank Huang

Yifeng Frank Huang is a AI Software Engineer at Fractional AI. He possess expertise in python, c#, web development, javascript, asp.net mvc and 10 more skills.

Yifeng Frank Huang's Current Company Details
Fractional AI

Fractional Ai

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AI Software Engineer
Stanford, CA, US
Website:
fractional.ai
Employees:
27
Company phone:
916.253.7820
Yifeng Frank Huang Work Experience Details
  • Fractional Ai
    Ai Software Engineer
    Fractional Ai
    Stanford, Ca, Us
  • Google
    Engineering Manager
    Google Oct 2024 - Present
    Mountain View, Ca, Us
  • Youtube
    Engineering Manager
    Youtube Apr 2021 - Oct 2024
    San Bruno, Ca, Us
    Led user flagging team of 8 engineers to execute through several directional changes. New EU regulations, and rise of GenAI caused rapid shifts in the org's priorities. Led the team through these changes and successfully launched many high priority projects.- Critical DSA compliance projects (Flag Appeals, Legal Reporting) launched on schedule.- GenAI User Feedback. Team completed ideation, design, implementation, and launch on tight timeline of 1.5 quarters.- Guided Flagging Flow. Modernized stack dramatically improved team's productivity on frontend components.- Flag Lifecycle service. Improved data completeness with asynchronous, low-latency architecture designed to handle highly variable fanout, up to 6 orders of magnitude.- Flag Notifications.
  • Rideos
    Engineering Lead
    Rideos Nov 2017 - May 2020
    San Francisco, California, Us
    Tech lead for Ridehail API team. Led development of ridehail backend and API from scratch, from internal prototype to production service with high availability. Mentored team of 4 engineers to ship significant new features, including API versioning, pre-scheduled trips, package delivery, and the internal data platform. Technologies: GCP, Cloud Spanner, and BigQuery.Core developer on Java tech stack. Architecture for hot-swapping large maps in routing engine. Vehicle simulation (pure pursuit), with Mapbox GL visualization. Integration with autonomous vehicle partners, including on-device (ROS) and backend-to-backend.Cloud infrastructure. Improvements to build system using Bazel (Java and Protobuf), Kubernetes cluster on GKE, Helm, Stackdriver Monitoring & Logging, Terraform config for GCP.
  • Nest
    Senior Software Engineer
    Nest Jul 2014 - Nov 2017
    Shipped two IoT connected cameras, Nest Cam and Nest Cam IQ. Tech lead for Nest Cam IQ video stack. Enabled 24/7 streaming of 4k video over the internet with dynamic bitrate controls based on image content and cumulative usage. Interfaced with encoder vendor to deliver features and critical bug fixes. Mentored and led team of 3 engineers. Technologies: Android/Brillo platform, OpenMAX, multi-threaded C++ with event-driven async I/O.Transcodeproxy: real-time video transcoding service. On-demand, low-latency (# b-frames + 1) h.264 transcoding to lower bit-rates for adaptive live streaming. Helped to maintain compatibility with older players with audio transcoding (Opus to Speex/AAC). Evaluated GPU-powered transcoding using AWS GPU instances. Technologies: Golang, Cgo, ffmpeg (libavcodec), libx264, Docker.Video pipeline engineering. Encoder evaluation, selection, and integration for new 4k video product. Substantially reduced average bitrates in static scenes with encoder tuning. Evaluated encoder performance with user experiments. Evaluated benefits of advanced encoder features (ROI, HEVC, LTR, SVC-T).Cloud backend improvements to support new camera products. Unblocked firmware team by implementing connectivity notification, SPS parsing, JNI Opus and Speex integration, transcoding profile selection, still image capture pipeline, and admin UI in Scala, Python, and Javascript.
  • Dropcam
    Software Engineer
    Dropcam Jul 2013 - Jul 2014
    San Francisco, Ca, Us
    Video engineering. Low-latency (under 2s) h.264 video over Wi-Fi using RTP. Bitrate adaptation to network conditions. Jitter buffer implementation with dynamic buffer sizing for low-latency playback. Prototyping to achieve extreme low latency (under 500ms) over the internet.Linux firmware development in C/C++. Low latency audio playback module using ALSA. Optimized computer vision pipeline using Union-Find to speed up connected components. Other focus areas: threading, coroutines, event-driven I/O (libtask, libev); OpenSSL.Embedded firmware development for IoT device. Battery-powered, connected over Bluetooth LE. C firmware running on Cortex-M0 SoC with RTOS-like support libraries. Optimized firmware for strict low power requirements (20 uA average). Improved performance with lightweight sensor fusion (magnetometer + accel) and DSP algorithms. Enabled reliable one-way communication with self-correcting counter prototype.
  • Stanford University
    Cs106 Section Leader
    Stanford University Sep 2011 - Jun 2013
    Stanford, Ca, Us
  • Stanford University
    Researcher - Filesystems
    Stanford University Jun 2012 - Sep 2012
    Stanford, Ca, Us
    - Helped develop distributed network filesystem (Ori). Content-based addressing, Rabin-Karp fingerprinting, integration with FUSE. Internal tree-like storage structure inspired by Git.- Publication: "Replication, History, and Grafting in the Ori File System." November 2013
  • Microsoft
    Sde Intern
    Microsoft Jun 2011 - Sep 2011
    Redmond, Washington, Us
  • Fog Creek Software
    Intern
    Fog Creek Software Jun 2010 - Aug 2010
    New York, Ny, Us
    Backend and frontend web development with C#, .NET, ASP.net MVC, Python, Javascript/jQuery, Mercurial. On the dev team of Kiln 2.0 from start to beta release.

Yifeng Frank Huang Skills

Python C# Web Development Javascript Asp.net Mvc Java C++ Data Mining C Ruby On Rails Software Engineering Algorithms Ruby Embedded Systems Signal Processing

Yifeng Frank Huang Education Details

  • Stanford University
    Stanford University
    Symbolic Systems
  • Kent School
    Kent School

Frequently Asked Questions about Yifeng Frank Huang

What company does Yifeng Frank Huang work for?

Yifeng Frank Huang works for Fractional Ai

What is Yifeng Frank Huang's role at the current company?

Yifeng Frank Huang's current role is AI Software Engineer.

What is Yifeng Frank Huang's email address?

Yifeng Frank Huang's email address is fy****@****ail.com

What schools did Yifeng Frank Huang attend?

Yifeng Frank Huang attended Stanford University, Kent School.

What skills is Yifeng Frank Huang known for?

Yifeng Frank Huang has skills like Python, C#, Web Development, Javascript, Asp.net Mvc, Java, C++, Data Mining, C, Ruby On Rails, Software Engineering, Algorithms.

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