Adam Sroka

Data & AI Director

Hypercube Consulting

Chief Executive Officer

Director

The Data Lab - Innovation Centre

The Innovation Advisory Board is responsible for advising on innovation and collaborative project activity for The Data Lab – Scotland’s Innovation Centre for Data and AI.

Innovation Advisory Board Member

Origami

Head of Machine Learning Engineering

Incremental Group

Senior Data Scientist

Sure Thing! Insurance

Data Scientist

Clear Returns

Thales

Research Engineer

I build data and AI platforms for the energy sector | Director at Hypercube Consulting

Dr Adam Sroka is a Co-founder and CEO at Hypercube Consulting, a firm that helps organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. With over 10 years of experience in data science, machine learning, and artificial intelligence, Adam is a recognised expert and speaker in his field.

Adam's mission is to bridge the gap between technology and business, and to enable data-driven innovation and transformation across various industries. He shares his insights and best practices through his blog, podcast, and tech community events, where he showcases his approaches and systems for effective communication, engineering discipline, and experimentation. Adam is passionate about helping organisations and data professionals maximise their potential and impact with data and AI.

DataExpert.io

Founder

Ardent AI

I think AI will disrupt data engineering in a significant way. I’m investing in Ardent to accelerate that disruption!

Angel Investor

Peony Health

I invested in Peony Health because I believe habits are greatly impacted by neurochemistry and Susie Chen is a technical founder with business chops who will deliver on their mission

Illuminate AI

I'm one of the new Bay Area chapter leads for Illuminate AI! 

I help make events better and build this community to the next level!

Chapter Lead

Mage

I'm advising Mage on how to make a data engineering friendly Airflow competitor that will be the next generation of job orchestration!

Advisor

A House in Utah

Former Child

SylphAI

I’ve invested in SylphAI because I’m passionate about building community in AI that helps everyone meet their growth goals and fulfill their potential

Airbnb

Changed Airbnb's availability definition from "did a host set a rule that blocked this night" to "can a trip be booked that contains this night" 

Consolidate the availability definition across the company. Saving >500 TBs in the cloud and shrinking the data set to 3% its old size.


Decreased the landing time of Airbnb's unit economics dataset from 3 days to 1 1/2 days. Built a long-term roadmap to further increase the quality of this critical dataset. 

Improved the quality of online systems at Airbnb to be easily compilable by Spark pipelines to compute metrics offline. 

Lead a team of 6 engineers to deliver on the MIDAS initiative to increase the data quality of the Commercial Products org. 

Upleveled smart pricing at Airbnb by improving the feature engineering and latency of the data used to train the smart pricing model.

Staff Data Engineer - TC $600k ($220k Salary $320k Stock $60k bonus)

Netflix

Built a machine learning feedback system that allowed security engineers to label corporate user behavior as risky or not risky.

Built Asset Inventory - a graph database solution that is a map of all of Netflix's cloud infrastructure.

Senior Software Engineer - TC ~$575k ($550k salary + 5% options)

I built a pipeline that measures the cloud infrastructure impact on AB tests, saving Netflix millions by allowing them to make smarter AB test rollout decisions.

Senior Data Engineer - TC ~$365k ($365k salary + 5% options)

Facebook

- Managed a 10 PB+ Hive data warehouse
- Consolidated and conformed company-wide growth metrics (across WhatsApp, Instagram, Messenger, and Facebook) into a single, company-wide view. 
- Optimized machine learning feature set generation pipelines (200+ TB/day) from having a 4 day latency to having a 1 day latency. While also dropping compute costs for those pipelines 4x. 
- Reduced core notification data set latencies from 36 hours to < 8 hours. 
- Migrated 50% of notifications pipelines from using Hive to use Spark, Presto, or real-time streaming.
- Cut compute cost from notifications pipelines by 40% over the course of 9 months.

Data Engineer - TC $185k ($135k salary, $50k stock)

I love to teach. I post about #dataengineering and #mentalhealth daily. 

Many years of data engineering experience doing growth analytics at Facebook, security infrastructure at Netflix, and pricing and availability infrastructure at Airbnb. 

You can find me by looking up EcZachly on all social networks 

Join my Data Learning Platform https://www.dataexpert.io

Zach Wilson

I’m happy to share that I’m starting a new position as Strategic Advisor at omi!

I believe in Nik Shevchenko and I want to start having a much more data rich life!

Founder @ DataExpert.io, use code BF for 40% off!

This chart seems extremely alarming. Here are 3 reasons AI isn’t “taking all the jobs” 

1. Job openings are still a bit higher than 2019 back before zero interest rates were introduced. The job market isn’t “bad” right now. It’s returning back to pre-COVID levels which is normal  

2. ChatGPT was really bad when it was released and wasn’t “automating” anything with GPT 3.5 turbo. Yet job openings were still being crushed anyway 

3. Interest rates soared in 2022 which forced companies to tighten their belts. The chart is waaaay more correlated with interest rates than AI capabilities

Hitting 500k followers here on LinkedIn feels like a dream come true!

I started posting every day back on December 12th, 2020 and I had no idea it would impact my life in such a profound way

I met so many amazing creators along this journey like Carly, Aishwarya, Joe, Chip, Delia, Li, Annie, Jhillika and many more! 

To celebrate 500k followers, You can use code 500k at DataExpert.io/500k to get 50% off! This deal ends today at midnight pacific time! 

How long until I hit 1 million?

We're making some important updates to the Snowflake + dbt boot camp on January 6th! 

- We are limiting seats to 60 students to keep quality of instruction high (we are already halfway booked up)
- We are adding Cortex lessons for both vector search and document parsing
- We are adding a lesson change data capture 
- We are adding an Iceberg and Snowflake module for those interested in the open data format! 

If you're interested in some early Black Friday deals on this boot camp, send me a DM!

Only 50 days left in 2025. 

Most people will coast. A few will finish strong.

Mitali Gupta and I are launching the 50-Day Data Challenge to help you end the year sharper than you started.

Every day from now until December 31, you’ll get one of the following:
- A 5–10 question quiz to test your knowledge
- A diagram upload graded by AI to train your architecture and modeling
- A SQL coding challenge to ramp up your analytical skills

Each challenge earns you a DataExpert.io badge — and if you complete all 50, you’ll unlock discounted access to our cloud subscription product. 
The first two people to finish the challenge will get one year access for free! 

We start today!

Are you in? 

Comment “I’m in”, repost and tag a friend to join you.

Data Engineering ​> AI Engineering and I’m tired of pretending it isn’t

I'm launching a free data science interview boot camp with Vaishali Macwan tomorrow!

For the next four weekends, Vaishali will go over the most important things to land a product data scientist role!

- Week 1 Getting Noticed
You can't land a job without landing an interview. Master the job search skills quickly!

- Week 2: The fundamentals and interview formats
SQL is absolutely essential for data scientists. We'll be covering the different interview formats this week too

- Week 3: How to pass the product sense and company fit rounds
Product sense is one of the most difficult interview rounds for data scientists. Vaishali has mastered this round and will pull back the curtain!

- Week 4: The behavioral round and negotiation
These two rounds are critical to sealing the deal for your new data science job and getting paid the most you can!

You can join the free boot camp here: https://lnkd.in/gj7xxGU3

Big LinkedIn Energy - How to go viral while not sounding like an NPC

Come learn how to build your brand in the most authentic and unhinged way possible!

Big LinkedIn Energy - How to go viral while not sounding like an NPC

taplio

The Battle

Adam Sroka

Zach Wilson

Followers

Posts

Engagements

Likes

Performance ScoreZach Wilson's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Adam Sroka

Zach Wilson

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);}Zach Wilson's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreZach Wilson's LinkedIn Performance