🦾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?

Clube FII

🔥 Análise automatizada de carteiras de ativos e investimentos, integrando dados atuais do mercado com históricos, usando IA generativa (LLMs) e bancos de dados relacionais (PostgreSQL, SQL Server).

📊 Desenvolvi pipelines de dados com LLM, permitindo análises comparativas entre ativos e avaliação de impactos de comunicados e dados do mercado nas carteiras dos investidores.

📉 Reduzi o tempo de leitura e interpretação de comunicados em 80% com sistemas de resumos automáticos baseados LLM.

🤖 Criei agentes IA para geração de relatórios financeiros utilizando engenharia de prompt avançada.

🌐 Integrei IA com o front-end (React.js) e APIs RESTful, garantindo comunicação fluida entre módulos.

⚡ Otimizei views SQL e consultas complexas, acelerando relatórios em até 85% e evitando custos com upgrades de infraestrutura.

🚀 Automatizei webcrawlers para extração contínua de dados do Fnet, Banco Central e sites financeiros, com orquestração via Azure Pipelines e armazenamento em AWS S3 e Banco de dados.

🔄 Implementei CI/CD para garantir entregas ágeis e seguras.

🗓️ Colaborei com POs e participei ativamente de dailies, refinamentos e plannings, assegurando entregas alinhadas às metas de produto

📈 Atuação próxima ao PO e demais stakeholders para traduzir necessidades de negócio em soluções robustas

Tech stack: Python (FastAPI, Flask, Pandas, NumPy) • React.js • APIs RESTful & GraphQL • Azure, AWS, Docker • CI/CD (GitHub Actions, Azure DevOps) • Hugging Face • LangChain, LangGraph, RAG, vector DBs.

Especialista em IA

- Gereis insights de clientes e oportunidades de negócio aplicando ciência de dados, estatística e inteligência de mercado.

- Apliquei machine learning, deep learning e data mining para análises preditivas e segmentações.

- Implementei pipelines de deploy com Azure Functions, entregando soluções escaláveis.

- Executei web scraping com Scrapy, modelagem de dados e consultas SQL otimizadas.

- Atuei com arquitetura limpa, SOLID e testes unitários, garantindo qualidade contínua.

Data Scientist

- Desenvolvi páginas de dados financeiros e painéis interativos com VB.NET, JavaScript, HTML e CSS.

- Realizei ingestão de dados via APIs JSON e manipulação eficiente com SQL Server, processando ~400 itens em apenas 3 segundos.

- Modelei lógica de extração, transformação e carga (ETL) com alto desempenho.

- Atuei no onboarding técnico de desenvolvedores iniciantes, com mentoria em lógica de programação, Git, boas práticas, resolução de bugs e soft skills.

Software Engineer

self-contained

Civil Engineer

Construtora Nobe

Trainee

Seu Software

Engenheiro de software

Data Science

Especialista em Inteligência Artificial e Automação, com expertise em construir agentes inteligentes, pipelines de dados e integrações corporativas usando LLMs como ChatGPT, Gemini, LLaMA e frameworks como LangChain, LangGraph e Hugging Face.

Minha missão é transformar fluxos de trabalho complexos em automações inteligentes com RAG pipelines, embeddings e vector databases (Pinecone, Weaviate, FAISS).

💻 Tech stack:
Python (Flask, FastAPI, Pandas, NumPy) • SQL (PostgreSQL, SQL Server) • APIs RESTful & GraphQL • Front-end (React.js, JavaScript, TypeScript, HTML5, CSS3) • Azure, AWS, Docker, GitHub Actions, Azure DevOps (CI/CD) • LLMs (ChatGPT, Gemini, LLaMA) • Hugging Face, LangChain, LangGraph, RAG pipelines, embeddings, vector databases (Pinecone, Weaviate, FAISS)

🚀 Projetos recentes com LLM:
🔹 Análise automatizada de carteiras de ativos e investimentos combinando dados atuais do mercado, séries históricas e ativos existentes para gerar insights estratégicos.
🔹 Modelagem de impacto de comunicados oficiais (CVM, B3, Fnet, Banco Central) sobre carteiras, identificando padrões e tendências.
🔹 Construção de comparativos dinâmicos entre ativos, integrando dados históricos e tempo real em bancos de dados SQL Server e PostgreSQL.
🔹 Desenvolvimento de pipelines de dados para análises contextuais ricas e geração de relatórios em linguagem natural.
🔹 Criação de agentes IA para geração de conteúdo, assistentes virtuais e análises preditivas, entregando soluções escaláveis e auditáveis com supervisão humana.


🎯 Objetivo: desenvolver soluções inteligentes que transformam dados complexos em decisões estratégicas, com ética, performance e visão de longo prazo.

taplio

The Battle

Jepson Taylor

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The Battle

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Tulio Vargas

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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);}Jepson Taylor's LinkedIn Performance

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