🦾Jepson Taylor

VEOX

VEOX Inc is revolutionizing the AI industry by creating an AI-driven algorithm factory, compressing decades of progress into moments. Our technology automates AI science research, continuously improving algorithm efficiency and outperforming human-made algorithms. VEOX is not just building another AI company; we're catalyzing an explosion of technological advancements that will reshape the entire tech landscape. Join us in accelerating intelligence beyond human limits and leading the next wave of AI breakthroughs.

CEO/founder VEOX

Artificial Intelligence Masterclass, NYU - Intellibus

FYI, I’ll be co-leading an AI Master Class for about 20 senior leaders at NYU’s School of Professional Studies in September and October!  We have a fantastic team of expert AI panelists too, and I’d love to have you join the program. If you’re keen then drop me a note and I’ll make sure a spot is saved for you.  Also, feel free to send this link onto others who will benefit from joining. This course will be the #1 AI course in the US for senior leaders and will change the way you think about AI and how we tackle its opportunities and threats. A big part of this course is the close collaboration between industry and academia. More info here: https://www.aimasterclass.com/

Contributing Faculty

AtomicSoul.ai

I love being the host for the Atomic Soul Podcast where I explore the very things driving humanity forward. This isn’t your average “AI is taking over our civilization” show - it’s something much more rare that’s sure to make you reevaluate your perspective on controversial topics. Each week we’ll hear from the world’s most interesting people, like corporate giant execs and people bending the mold. It’s at this very intersection of tech and the brain where we expand our consciousness.

Podcast Host

Dataiku

I will provide straightforward industry perspectives and insights, thought leadership on the future of AI, and share the stories and best practices of Dataiku’s growing enterprise customers. I will help accelerate the company’s strong recent momentum, including: 
Over 500 customers with 150+ on the Forbes Global 2000 list
95% customer retention rate with Forbes Global 2000 customers 
Industry recognition includes being named to the Forbes Cloud 100 and Forbes AI 50 lists, top 10 in the Data50, and Snowflake’s ML/AI partner of the year.  
Certification as a Great Place to Work, with 94% of Dataikers saying the company is a great place to work (compared to 57% of employees in a typical U.S.-based company)

You can’t have fun if the fundamentals aren’t working and I was impressed with Dataiku’s growth, enterprise customer count, customer satisfaction, and one collaborative platform. 

I want to work for a market leader and believe that Dataiku is indeed the leader that industry analysts and 500+ customers say they are and I want to invest my life force into this company. 

I am very excited about the next year, and my excitement has only continued to increase since joining. This company has the soul I was seeking.

Read more about my WHY here https://blog.dataiku.com/ben-taylor

Chief AI Strategist

DataRobot

As Chief AI Strategist at DataRobot, I work closely with our innovation team, marketing, sales, and product to ensure innovation is aligned with our product roadmap/strategy. I also help nurture strategic partnerships for the innovation team, can we combine like-minded visionaries to accelerate the future? Can we inspire the next generation by combining world-class innovation with brilliant storytelling? I love working with brilliant technologists and amplifying them with genius creatives. Magic happens between these two types of experts. Some of that work was showcased with our 10,000 cast piece which ended up being nominated for a Webby award. Very excited about what we have in the pipeline this year.

Artificial intelligence is already changing our world for the better. Unfortunately, too many homegrown projects are failing giving the rest of the industry a bad rap. Too many executives are naive to the opportunity. The gap of "do-ability" isn't being crossed in the mind of the business executive. AI should inspire, it should transform, everyone should wake up in the morning excited about what AI could do to automate their business and lift our society to new innovative heights.

Chief AI Evangelist

Zeff

co-founder, Chief AI Officer

Working crazy hours to deliver the world's best machine and deep learning to product companies with the least amount of effort. Our goal was to be easiest to use, but surprisingly we are winning on scalability, accuracy, and implementation time. If you need any machine learning in 2017/2018 reach out to see if you are a fit for our current offering. Great press to come.

co-founder & Chief Data Officer

HireVue

Building out HireVue's data science team with the talent needed to execute on our technical data roadmap. We currently have one of the best deep learning teams in the state and by next year it could be one of the top 10 deep learning teams in the country. I love the work we are doing, the opportunity we have, and the success we are seeing. Working with brilliant people is critical to job satisfaction and we have that at HireVue.

Chief Data Scientist

Is it possible to take something as unstructured and complicated as a digital interview and predict the quality of the candidate response? The answer is yes! Imagine what you can do with 100,000x more data than a resume. Leading HireVue's data science team to success on algorithm development for the HireVue insights IRIS product, a new data frontier for sure.

Principal Data Scientist

Metaheuristic Solutions LLC

Metaheuristic Solutions is a optimization consulting company with the world's leading metaheuristic optimization algorithm, the x algorithm. The new algorithm was developed by Ben Taylor and was made available in 2011.

Founder/CTO

IM Flash Technologies

Using Matlab, R, and Julia to develop multivariate and single variate models and analysis (MVA/UVA) for tool fault detection. These models are then used to shut down tools used in the semiconductor manufacturing process, notify stake holders, and mark up lots for real-time detection analysis (RDA). Projects also include building complex yield models from tool data and automating alarm rule setup as well as fab wide tool fingerprinting to identify rogue behavior even if alarms are not present.

I am also very busy on the web app side building PHP/Mysql wrappers to give engineers access to big data solutions. Hoping to switch soon to python/django/postgres. Also using custom built SQL queuing system that I designed on the backend to manage user loading for job requests.

Senior Data Scientist, Fault Detection

launchup.org

observer

I build stuff that doesn’t exist, an AI explorer. 
Unfortunately I have too many connections so please follow me instead. 

人工智能 (Chinese)
人工知能 (Japanese)
कृत्रिम बुद्धिमत्ता (hindi)
الذكاء الاصطناعي (Standard Arabic)
কৃত্রিম বুদ্ধিমত্তা (Bengali)
искусственный интеллект (Russian)

I watch the watchers, I direct the learners. 

I am passionate about machine learning. My life's mission is to further the boundaries of what is possible with data science. I spend as much time as I can working with deep learning, NLP, and all forms of data science. I currently have a passion project I am managing where I am combining the power of genetic programming with deep learning to automate network design. I think there is a trend happening in data science where human expertise and creativity are being replaced by powerful new methods (i.e. deep learning, big data). 

I am most well known for my machine learning work with the data science community and with HireVue. With the community, I enjoy posting opinions on jobs and tutorials on ML methods. I also enjoy speaking and presenting to all types of audiences. 

I've enjoyed working across engineering, product, sales, marketing, and customer success. This wider POV has helped shape the way I think about innovation, from the innovation farm to the customer's table ;)

LTK (formerly rewardStyle & LIKEtoKNOW.it)

Building and streamlining the MLOps Platform for an e-commerce startup

MLOps Engineer

Manning Publications Co.

Author of the book LLMs in Production.  You can learn more as well as get early access and preorder the book here: http://mng.bz/YRg7

Author

Shopify

MLOps focused role helping to build and support the ML Platform. Specifically specialized in supporting Online Inference projects deploying ML models as services.

You can see this article to get a better idea on what I've worked on and built.  https://shopify.engineering/shopifys-machine-learning-platform-real-time-predictions

Current work has focused a lot around VertexAI and GCP Cloud Infrastructure.

Machine Learning Infrastructure Engineer

I came in as MX's first Data Engineer, hired alongside our first Data Scientist.  This gave me a front row seat to experiences that most don't see like helping build the data science team from the ground up and almost single-handedly building the MLOps platform from scratch.

Senior Machine Learning Engineer | Data Engineer

IM Flash

Programmed a defect classification tool using computer vision and deep learning in Python and JSL
Created add-in to simplify experiment analysis, improve statistical decision making, and to generate in-depth PowerPoint report using JSL and Python—saving 50 hours a week
Built and deployed a wafer map analysis model to catch circle scratches to avoid excursions
Mentor in machine learning project to correlate WIS wafer map images to metrology film thickness measurements 
Received technical excellence award for automating advanced inline die loss, defect kill rate, defect projection calculations, and defect to probe correlations
Created and maintained MSSQL database for RDA NAND technologies for IDL and tool error logging
Wrote conversion reporting script to pull, clean and analyze large data sets and generate reports
Deployed add-in scripts to multiple sites working with global teams to support the transfer
Built defect source and transition analysis tools to simplify defect evolution studies and determine area contributions using JSL/SQL
Designed knowledge sharing web application to improve response time and accuracy to out of control events
Published white paper in IM Flash Technical Conference on user centered design and indexing based search
Provide worldwide technical assistance for scripting and statistical analysis as JMP Super User
Improved 3D XPOINT MOL yields by 70% through leading teams to reduce Cu interconnect defectivity
Achieved best in Micron network yields by reducing NAND defect probe bin die kills by 26%

Data Scientist and Module Owner for RDA (Real-time Defect Analysis) Team

Automated conversion analysis by writing JMP/JSL script to collect, analyze, and report equipment data
Mitigated excursionary events by enhancing test sensitivity, accuracy, and repeatability of qualifications after maintenance events by optimizing implant and RTP recipes
Improved tool availability by two weeks per year for highest constraint tool set by designing new test system to eliminate potential for cross contamination saving purge time
Streamlined shift response through redesigning reaction mechanisms and reporting templates

Process Engineer for Implant/PVD Team

Brigham Young University

Goal: Simulate and study coal deposition of ash particles on turbine blades

Wrote MatLab code to determine surface temperature of turbine blades based on RGB pixels
Improved accuracy by 75% of MatLab code by applying light theory to accurately calibrate a high-temperature RGB camera
Fixed Coulter Counter LS100 machine saving $6000, half the budget for the year
Changed an ash milling system to provide a 95% yield, up from a 10% yield

Research Assistant for Coal Turbine Lab with Dr. Tom Fletcher

Goal: Develop a new qualification procedure using an X-ray Photoelectron Spectrometer (XPS) to reduce test time, mitigate risks, and lower overhead costs

Led a team of five engineers to characterize the XPS and developed a procedure for implementation saving the company $500,000-$1,200,000+ per year
Created and developed a new community website in SharePoint to increase communication within the team
Performed routine data analysis in JMP to help teammates

Intern for Ion Implantation Team

Dark Lord, Sith, Magician, Data Guru. Nah!  Just another guy solving one data problem at a time.

I like to think of myself as a Data Pioneer.  What I'm really good at is coming in and revolutionizing how your team or company extracts value.  I have a knack for building ecosystems and tools that gain adoption and not just change how the work gets done but also the conversations change and become elevated and more informed.

Follow me if you are interested in building and improving your career in data.  I love to talk about clean code, data careers, and data science.

***

A bit more about me for those really interested.

I'm also known as a Recovering Data Scientist.  This is a joke several of us with Data Science backgrounds came up with as we moved to Data Engineering.  Several years ago it was quoted that 90% of all Data Science initiatives failed. It was common for machine learning projects to sit stagnant on the data scientists laptop.  As a data scientist, I got frustrated with this and all the other inefficiencies in how I had to do my job so I set out to build systems to make sure my team would succeed.  I've been working in MLOps since.

I've been called by many a Data Unicorn.  That mythical creature that can do everything data.  I'm not a big fan of this title, but it is helpful since I have experience in almost all aspects of the data life cycle. 
From dashboards, analytics, and statistical tests to setting up servers, building machine learning pipelines, and data warehouses.  I'm also experienced in most types of datasets having built deep learning models in NLP, CV, and RL tasks.

taplio

The Battle

🦾Jepson Taylor

Matthew Sharp

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