Yujian Tang started developing software professionally at the age of 16. In college, he studied computer science, neuroscience, and statistics and published machine learning papers to conferences like IEEE Big Data. After graduation, he worked on the AutoML system at Amazon before moving on to build his own companies including a data aggregation app, an NLP API, and his current company - OSS4AI, an organization aimed at providing all developers access to the resources to understand, use, and contribute to the direction and development of AI.

Yujian Tang

A VP of AI at Expedia, a Senior Director of Engineering at Coupang, and a VP of Engineering at Nordstrom all walk into an intimate conference.

That conference is Seattle Startup Summit featuring 120 of the world's most innovative early stage startups like InsForge, Stakpak, and Neuramill as well as growing startups paving the way like MotherDuck, Arize AI, and LastMile AI

Imagine one of the highest alpha events for keeping up with technology innovation - is that a conference your startup belongs at? Is that a conference you belong at? If you think so, join us - RSVP below.

Guest Lecturer @ Stanford University | CEO @ OSS4AI

Seattle Startup Summit prep is in full swing

Super excited to announce the addition of a couple new workshops today:

Building evals on OpenRouter with Jacob Matson from MotherDuck

and

Building a System Prompt Learning Loop with Cam Young from Arize AI

More to come soon :) Early Bird Tickets on sale now!

Two years ago I started OSS4AI with nothing but an idea of something I wanted - a way to learn about not only type of technology, but all manners of emerging innovative dev tools.

In the time since then we've built a community of over 26k and learned from some of the most innovative companies in the world including
Databricks 
Arize AI
Sprinto
Snowflake
Lovable
Autonomy
Pinecone
Portkey
Galileo
Descope
MotherDuck
and many more

And in April, we expect to see many more innovators join us and over 1000 tech leaders for Seattle Startup Summit

If you're one of them - apply below :)

Last year we received nearly 500 applications and featured over 200 startup demos at our OSS4AI events.

This year, our first live event with startup demos is coming up.

And we've lined up our first set of demos:
rtrvr.ai 🐶
Cloudidr
Daemo AI
Impulse AI
and Agentplace.io

Come join us on 1/26 at SF Awesome AI Dev Tools

MC'd by me, Cody Feda, Rakshanda Reddy Bijjam, and George Fahmy

Are you in charge of implementing AI at your company?

Then this will be exciting for you

The first five startup demos for Seattle Startup Summit have been announced

Flexprice
Solutioneers Inc.
Map Collective
SiC Systems, Inc.
and Veneo

Many more to come soon :)

More startups joining Seattle Startup Summit

Verisense Networks (with Helena Wang)
Latent Space Media
Neuramill
LemiLeap
Stakpak

More to come soon :)

Do you consider yourself an early adopter?

Someone who likes to keep up with the latest and greatest tech? Someone who stays ahead of the curve? Someone who isn't afraid to try new things?

That's the type of people that you'll find at Seattle Startup Summit

We don't just feature new technology - we feature the best new technology.

Some companies we featured last year include
Databricks (valued at 100B)
Arize AI (raised 70M series C)
Galileo (raised 45M series B)
Statsig (exited at 1.1B to OpenAI)

Some companies already expected to be there this year include
Descope (raised 88M seed)
LastMile AI (raised 10M seed)
FlickBloom (raised 1M seed)

Get ahead of the curve - make sure you sign up today.

Learning how to use cutting edge AI is one of the best things you can do in 2026

What better way than to learn from the experts working on the innovative tools themselves?

Two new workshops have just been added to the highest alpha innovation event of the year, Seattle Startup Summit

Just announced:

How to Build an Enterprise Video Analysis Agent with Amazon Web Services (AWS) AgentCore and TwelveLabs

and

How to build and deploy MCP agents for production with LastMile AI

(in addition to workshops by Arize AI and MotherDuck)

One of the ways you can take advantage of a conference is by attending workshops given by experts.

You get a live hands-on session to learn a new and innovative tool, upgrading your skills and giving you more to draw from when you implement new technology at your company.

Here are 2 workshops recently added to Seattle Startup Summit

"Ship Reliable RAG Pipelines with ClickHouse" by Zoe Steinkamp

"How to deploy models on-device with Qualcomm AI Hub" by Neel Kishan

For over a decade, I’ve specialized in turning AI from a buzzword into a catalyst for profitable, sustainable, and future-proof enterprises. My work revolves around decision intelligence, multi-objective optimization, and enterprise AI adoption, ensuring organizations don’t just use AI but thrive because of it.

Over the years, I’ve led large-scale AI transformations within Fortune 50 environments, orchestrating complex supply allocation and inventory optimization initiatives. By combining operations research, cloud-based MLOps, and reinforcement learning, I’ve developed end-to-end AI solutions that scale globally, increase production capacity by tens of thousands of units, and generate hundreds of millions in added profit. Whether it’s building AI-powered recommendation engines that optimize billions of dollars in inventory or forecasting systems that align production with real-time market dynamics, my focus is always on driving measurable, strategic impact.

But implementing AI at scale isn’t just about models and code—it’s about influencing C-suite stakeholders, managing change, and embedding AI into an organization’s very DNA. I’ve partnered with executives and cross-functional leaders to ensure AI insights become actionable, real-time decisions that align with business objectives. That means navigating complex governance, bridging AI innovation with operations, and ensuring agile, data-driven cultures can flourish.

My expertise spans ML frameworks, cloud AI (AWS, Azure, GCP), PySpark, distributed systems, and microservices architecture—tools that empower enterprise-grade scalability. Yet, I believe tools are secondary to the vision and strategy behind them. True AI success comes from orchestrating a multidisciplinary approach, weaving together data science, operations research, and executive strategy to drive top- and bottom-line growth.

If you’re an organization looking to elevate AI into a competitive advantage—balancing profitability, sustainability, and market share—I’m ready to help you chart that course. Let’s redefine how decisions are made, seize opportunities in uncertainty, and unlock long-term competitive advantage through AI.

Send me a message or connect—let’s talk about transforming your business with AI-driven decisions.

Adam Jr.

Most teams think optimization maturity is about better solvers.

It’s not.

It’s about how honestly you model uncertainty.

The real progression looks something like this:
1. You start with a single point forecast because it feels “rigorous.”
2. Then you optimize the expected value and feel smarter.
3. Then reality hits, so you add scenarios.
4. Eventually, you realize the decision itself is sequential and the model needs to adapt over time.

That last step is where things actually start working.

Optimization fails because we freeze uncertainty, lock in a decision, and hope the world behaves.

It doesn’t.

If your model only works on the average day, I’m sorry but it’s not a decision system, it’s a spreadsheet with better marketing.

Curious where most orgs think they are vs where they actually are on this curve 👀

Where are you?

taplio

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taplio

The Battle

Yujian Tang

Adam Jr.

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Yujian Tang's LinkedIn Performance

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