Jerrick Hoang

I specialize in developing ML/Data Strategies to help early stage start-ups achieve scale

given my experience scaling data engineering at Uber ATG, TellApart from 0 to 100s of TBs/day. 

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Available 8hrs/week

New York, NY, USA

9 years experience

artificial intelligence

autonomous vehicles

machine learning

software engineering

computer vision

Artificial Intelligence Consultant

Artificial Intelligence Consultant
I'm a investor and partner at Beecapital Venture (SEA), coinvest with Alumni Ventures (US), and have worked with multiple startups on their AI/ML/Data strategies from early stage. 
I'm a Staff Level ML/Robotics Engineer with 9 years of working experience in Sillicon Valley from both large companies (Uber, Twitter, Google, Youtube) to early and medium stage startups (TellApart 50 people sold to Twitter, Cruise 2000 people). 
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I'm interested in

chess
mathematics
machine-learning
AI
Autonomous Vehicles

How I help

I'm your Chief of AI on demand
+
Build Data/ML Roadmap
+
Bootstrap MVP

Skills & Tools

Top areas of expertise and tools used to accomplish projects.
data mining
data engineering
deep learning
machine learning
experimentation & testing
robotics
autonomous vehicles

Diversified professional experience

Past companies and roles where I’ve gained experience.
Cruise Automation, Inc.
Cruise Automation, Inc.

Senior Robotics and Machine Learning Engineer Ii

2021-Present

San Francisco, California, United States

Working at the boundary of Prediction and Planning for Autonomous Vehicles
huuk
huuk

AI Advisor

2022-Present

United States

Aurora
Aurora

Senior Machine Learning Engineer

2021-2021

Palo Alto, California, United States

Behavior Prediction group in Motion Planning team, working on high level maneuver planning for the autonomous vehicle.
Uber
Uber

Senior Machine Learning Engineer

2016-2021

San Francisco, California, United States

Engineer in autonomy group (Perception/Prediction/Motion Planning), working on predicting the environment including intentions, interactions and trajectories of all actors.
Twitter
Twitter

Software Engineer II

2015-2016

San Francisco, California, United States

Worked on various aspect of Twitter's cross platform advertisement targeting. Including extremely low latency serving layers and DB written in Java using Finagle, cross data center lambda architecture using Spark Streaming and Kafka, ML modeling using Spark. Most notably, I implemented an incremental large-scale distributed graph building algorithm that builds an Identity network of billions of nodes and edges. The algorithm was written in Scala on Hadoop framework.
Tellapart
Tellapart

Software Engineer

2015-2015

Burlingame, California, United States

* acquired by Twitter) * Worked on a cross-data center lambda architecture using Spark Streaming and Kafka. * Worked on large scale distributed graph clustering algorithm using Hadoop. * Helped build and maintained batch layer in Hadoop and Spark.

Open to

project based

expert calls

company advisor

monthly retainers

I generally only work on projects with budgets of at least $2,500.00 per week and at least a $20,000.00 overall project budget.

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