🦾Jepson Taylor

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 ;)

CEO/founder 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.

Jepson Taylor

We canceled our team’s Cursor account today. Strange considering I was so smitten by it. 🌹🥀Like a high school fling, onto the next babe. Oh, and I was top 3% globally as a user in 2025 at 22B tokens of code. Should have been on their customer advisory board maybe. AMA

CEO/founder VEOX Inc | Fasted Ultra Runner | Contributing Faculty AIMasterClass NYU | Keynote Speaker | former child

Some of the smartest people I've met in my life are... incredibly stupid. They can't read the room, they don't know how to talk to executives, they lack emotional intelligence and self-awareness. I used to always think intelligence was one-dimensional, I really cared about where I thought I was on this scale, now I see it as being ∞-dimensions. Sure, there are some standard tests we can use on humans to determine their ability to problem solve or do various coding challenges, but those tests are narrow. 

I like to say everyone is a genius, when it comes to their life experience. If you're patient enough to listen every human can teach you a lesson. I also muse with the possibility of the village idiot becoming the new savant thanks to AI. Ultimately, where we are headed the future 'genius' is unknown, and humans are not equipped to access them. Longer term, AI will be the only judge of what actually matters when it comes to human super-competency. I like this, because it tears up the standard resume. It means that someone with a PhD in neuroscience might actually be less competitive than the ambitious Uber driver in Dallas from Uganda who just needs to be enabled with a new 🥕 .

Dear r/LinkedLunatics,
I love that I live rent free in the minds of so many members of your community. I love knowing none of you will ever be able to run as far as I do in the mountains, invent at the pace that I'm capable of, or live life as a ridiculous outlier as I do. Every time I show up in your community, I take joy knowing that you are festering with my existence. Looking forward to many more posts where you feel compelled to engage and what I say/do bounces around in your simple keyboard troll minds. 

For those that don't know this community, they became famous when one of their members was caught commenting on the appearance of women on this platform. Degrading them, sexualizing them, only to be caught by accidentally sharing a screenshot that gave away their true identity. So when I think of this community, I think of a group of wanna-be ass grabbers, who have nothing better to do than tear down those that do.

Spam trick, add an Emoji to your name on LinkedIn, then make an email filter to never see your emoji in an email.

graphical user interface, text, application

I'm at the SLC airport, working, getting ready to head to Dubai. 
My 17th trip in 4 years.  If any of you are in the region I'll be speaking at:
http://aifest.ae/

For AI/business leaders, schedule permitting (filling up my calendar now), happy to come and speak to your engineering teams about what I've learn over the last year consuming ~25B tokens for coding agents. The pitfalls, the miracles, best practices, ideas gone wrong, ideas gone right... really right, all of it. And.. happy to show you examples of code that your humans will never be capable of writing, and explain why. #superhumancode

AMA

People who do high volume coding with AI often complain about 'fallbacks', where agents will catch exceptions and quickly patch with a moronic fallback. This can be back up libraries, dummy models, and even synthetic data... beyond stupid. You might get mad at AI, but... 

It makes you wonder? Was it trained with some of the worst human Q/A engineers in the world? My test isn't passing... there we go. This isn't installing... fixed. I can't find this dataset... this will do. Imagining the Q/A engineer that would behave this way makes you wonder, do they exist? If they do, I bet it’s the same people who leave dog poop in plastic bags on walking trails. 

Or is AI just making up some of the most terrible fallback short cuts to satisfy bugs? I've seen this bad behavior in all LLM providers.

Words can't describe how much I love the work I do. I can't type fast enough, I can't ask fast enough. I often will have 4-5 parallel threads of work that I'm managing, if only my brain could handle more. In the future as agents level up, it will. Working in the field I work in, with the technology vertical we are chasing is like waking up for Christmas daily. To review algorithms, and insights that I would never be able to produce on my own regardless the time, pressure, or budgets, is inspiring. 

Once when I was giving a talk to college students (I like giving talks to college kids, taught in a box, ready to break out, brains are like playdough). I think it was Berkley or Harvard, can't remember. I told them.

"When you do a startup, I hope you do, you need to find an idea that is so big you're willing to fail"

"What do I mean by fail? You need to be willing to foreclose on your home, have your cars reposed, max out every card you can get access to. Worry about your banking card clearing when you're buying gas and food. Where you need to awkwardly beg your friends and family for favors and emergency loans."

The college kids faces... eyes wide... 

Then I went back to the idea. If you aren't willing to endure that, then the idea wasn't big enough. I'm not talking about big enough for your professor! Your friends! Your parents! For YOU! Too often people want validation on their ideas, the best founders I know needed none. They were determined to chase the heroes journey despite head winds from their tribe. Parents and friends telling them they were stupid, and should get a real job. Find that idea big enough for you, the idea burning a hole in your head. The idea that is beyond passion, beyond obsession, entering the realm of purpose. 

For me, I have that idea, and couldn't be happier.

For all my 'fast typers' out there in Antigravity, Cursor, Claude, Chrome, etc... who are on Macs. I'm sure you have accidentally in your typing storm pressed Command+Q and closed your application. Very upsetting, well... you can change that close command on all your applications to Command + Option + Q (or any custom command). Now? Type faster!

Flights, time to think when the internet sucks. Qatar Airways was a dream my last trip with Starlink 100-150mbs down the entire time with great latency. I felt like I was (nearly) home in my office. Emirates.. gave the 2014 feeling with Onair 10-12mbs down experience with constant outages. I'm surprised more airlines don't get with the times, especially with those of us that work 24/7. In the future I'm going to call ahead to check if the plane I'm committed to has Starlink or not. 

During my thinking time, I was thinking more about the vast majority of the world is not ready for AI and will never be. You have toe dippers, and you have sprinters. The sprinters are leveling up every day, moving past 10x engineers and into territories that feel mythical. All of the 'vibe coding' nightmares are getting fixed, the wack-a-mole game is being won. Every problem found has a solution. Also, new technologies keep showing up that provide huge strides forward. 

I think a year from now, the toe-dipper engineers will be cave men compare to aliens. Are you a cave man? Or are you becoming an alien? What is your favorite tool/trick that makes you feel like you have more control over the chaos?

Draper

- Machine learning and geospatial data analytics task lead for a team developing algorithms to provide insights on geotagged data.
- Developed pipeline to process and analyze behavioral and physio data. Leveraged MATLAB to developed data processing pipelines for the MASTR-E program which allowed data to be (batch) processed and analyzed, and produced reports that show performance of individuals partaking in field and lab studies.
- Mentored student co-ops/interns and cadets in MASTR-E  by generating short-term sprints and providing oversight and review in algorithm development.
- Led machine learning pipeline development for prediction utilizing both Python and MATLAB. This entailed pipeline cycle development consisting of researching and developing metrics, machine learning problem formulation, result/progress presentations.

Senior Machine Intelligence Scientist/Engineer: Machine Intelligence

- Generated a space GNC technology roadmap by investigating gaps in space GNC technologies, performing interviews, and developing a plan of solutions to fill the technological gaps.
- Collaborated with DARPA to help accelerate Manned-Unmanned Teaming (MUM-T) innovations by applying rigorous analysis to identify capability gaps, helping shape portfolio development, and identifying the current state-of-the-art technologies and needed developments to address the capability gaps.
- Developed state-space and frequency-based analysis tools in MATLAB to analyze stability of Dynetics Human Lander System as part of the NASA Artemis program, which showed effect of slosh stability influence when utilizing differential throttle over thrust vectoring control.
- Developed filtering algorithms in C++ and post-processing scripts in python for vision-based Skymark (celestial) systems (GPS denied inertial navigation systems), which achieved sub-100m accuracy on water-based vessels.
- Conceptualized and spearheaded the development of a prototype nonlinear control algorithm in C for autonomous Joint Precision Airdrop Systems (JPADS).
- Developed MATLAB scripts to analyzed control algorithms and stability of JPADS systems and investigate instabilities in the system.
- Developed python-based post processing tools for machine learning algorithms developed as part of JPADS S&T.
- Undertook development of detailed algorithm description documents while meeting project deadlines.
- Proposed system improvements, future directions, and presented status updates and recommendations to customers such as NASA, Dynetics, and US Army.
- Orchestrated seminar series where interesting topics on current projects and software were discussed.

Senior Robotics Researcher: Perception & Autonomy

University of Florida

- Conducted Research in the field of robotics and nonlinear controls.
- Led research related to autonomy via reinforcement learning, specifically using data-based learning methods for control such as online adaptive dynamic programming/approximate optimal control and concurrent learning.
- Performed research on learning-based control and estimation methods, and research related to stability of nonlinear robust, adaptive, and multi-agent systems.
- Published technical results in high standing journals such as IEEE Transactions on Neural Networks and Automatica.
- Aided in writing grants and brainstorming proposal ideas.

Graduate Research Assistant: Nonlinear Controls and Robotics Lab

- Graded Students quizzes and exams.
- Taught classes.

Graduate Teaching Assistant

Air Force Research Laboratory

- Performed research related to autonomy and control at the University of Florida Research and Engineering Education Facility while collaborating with AFRL researchers.

Summer Research Intern

Belcan Engineering; Control and Diagnostic Systems

- Wrote procedures for integration testing.
- Worked with a team of engineers to analyze Pratt and Whitney aircraft engine software.
- Performed verification and validation analysis on Next Generation Product Family (NGPF) engine software to make sure they met software requirements and project deadlines.
- Wrote informal scripts to test engine software.
- Reviewed other tests perform in verification and validation.
- Performed integration testing of engine software to makes sure it meets customer requirements.

Engineer

- Worked with a team of engineers to analyze Pratt and Whitney aircraft engine software.
- Performed verification analysis on NGPF engine software to make sure they met software requirements and project deadlines.

Engineer Intern

Central Connecticut State University

- Helped students with academic work.
- Guided students through problem solving.

Mechanical Engineering Tutor

Norgren KIP Fluid Controls

- Ran tests on prototype solenoid valves and manifolds.
- Troubleshot malfunctioning products.
- Provided production support for the assembly floor.
- Performed valve characterization to see how valve characteristics change with certain parameters.

Engineering Intern

Highly motivated and goal oriented professional who enjoys working in interesting and challenging environments, applying and learning new skills, and making an impact. Focused on learning and data-based methods in variety of applications. 

taplio

The Battle

Jepson Taylor

Patryk Deptula, PhD

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The Battle

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Patryk Deptula, PhD

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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);}Jepson Taylor's LinkedIn Performance

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