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dypsis.ai
Team

The habits that make a team worth trusting.

We keep a book of them and we hold each other to it. Say the real status, even when the real status is that we are behind. Promise a date you can hit, then beat it. Reply even when the answer is not yet. Spend a customer's hours like your own money.

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Miguel Vicente, Founder & Managing Partner

Miguel Vicente

Founder & Managing Partner

Business StrategySalesDigital Marketing

Miguel Vicente is the Founder and Managing Partner of Dypsis AI, where he guides companies through AI-driven transformations to optimize Business Strategies, models and performance.

With extensive experience in business strategy, digital marketing, and AI-powered sales enablement, Miguel helps organizations leverage AI to drive revenue growth, enhance customer engagement and optimize operations.

  • Master of Business Administration (MBA)
  • Master of Science (MSc) in HRM
LinkedIn
Frederico Vicente, Co-founder and Partner, Head of AI

Frederico Vicente

Co-founder and Partner, Head of AI

LLMsMachine LearningSoftware Architecture

AI researcher and entrepreneur with 5+ years of experience in machine learning and business transformation.

  • Ph.D. Candidate in Machine Learning
  • Former AI Lead of 3 Startups
  • Published researcher
LinkedIn
Miguel Vicente Jr., Co-founder & Head of Operations

Miguel Vicente Jr.

Co-founder & Head of Operations

Operations ManagementProduct ManagementProcess Optimization

Miguel Vicente Jr. is the Co-founder and Head of Operations at Dypsis AI, where he drives operational excellence and ensures seamless delivery of AI solutions to clients.

With a strong background in product management, process optimization, and technical operations, Miguel brings a unique blend of strategic thinking and hands-on execution to scale Dypsis AI's growing portfolio of services.

  • Product MBA Certified
  • AI for Product Management Certified
  • Microsoft Power Automate Certified
LinkedIn
Ricardo Pereira, AI/ML Engineer

Ricardo Pereira

AI/ML Engineer

Deep LearningNLPMLOps

Ricardo Pereira is an AI/ML Engineer at Dypsis AI, focused on designing and deploying production-grade machine learning systems that deliver real business impact.

With deep expertise in deep learning, NLP, and MLOps, Ricardo builds robust AI pipelines and models that power Dypsis AI's client solutions across industries.

  • Machine Learning Engineer
  • Python & Data Science specialist
LinkedIn
Rodrigo Martins, AI/ML Engineer

Rodrigo Martins

AI/ML Engineer

Deep LearningNLPMLOps

Rodrigo Martins is an AI/ML Engineer at Dypsis AI, where he designs, trains, and deploys production-grade machine learning systems that turn data into measurable business value.

His work spans the full ML lifecycle — from exploratory data analysis and feature engineering to model training, evaluation, and deployment. With expertise in deep learning, natural language processing, and MLOps, he builds scalable data pipelines and models that move cleanly from experimentation to production, keeping the systems behind Dypsis AI's client solutions accurate, reliable, and maintainable as they scale across industries.

  • Postgraduate in Data Science — University of Porto
  • Machine Learning & Data Science Engineer
LinkedIn
Hugo Novais, AI/ML Engineer

Hugo Novais

AI/ML Engineer

Machine LearningDeep LearningComputer Vision

Hugo Novais is an AI/ML Engineer at Dypsis AI, where he turns complex signals like satellite imagery, telemetry, and sensor streams into deep learning models that hold up in production.

His path runs from aerospace to applied AI. An MSc in Aerospace Engineering, built on a Software Engineering foundation, gave him experience across the full stack, from computer vision pipelines for geospatial analysis to embedded telemetry on hardware with limited resources. At GEOSAT he trained deep learning models on satellite imagery and optimized the data pipelines behind them, pairing a strong Python, C, and C# core with the rigor aerospace demands to keep Dypsis AI's client solutions accurate and reliable as they scale.

  • MSc in Aerospace Engineering (Space Systems) — University of Minho
  • BSc in Software Engineering — University of Minho
LinkedIn
CH.02 · How we work

Five habits, and what each one costs us when we skip it.

  1. 01
    Be honest

    Say the real status

    A rosy status that falls apart next week costs far more than one uncomfortable sentence today. People can plan around a real problem. Nobody can plan around a comfortable fiction.

  2. 02
    Own the work

    Own it end to end

    Done means shipped, verified, and the person waiting on it knows it is there. Work is not finished when it leaves your hands. It is finished when it lands in someone else’s.

  3. 03
    Work as a team

    Disagree, then commit

    Say it now, loudly, with the counter-argument and the evidence. Once the call is made, pull in the same direction as if the idea had been yours. Both halves, or it does not work.

  4. 04
    Serve the customer

    Respect the customer's hours

    Every hour we log gets billed, and behind that invoice is a person who trusted us with the number. If the work is not worth the hour, we do not log the hour.

  5. 05
    Keep growing

    Say I do not know, then go find out

    An honest gap beats an invented answer that collapses next week. Not knowing is fine. Staying that way, or bluffing past it, is not.

Three of the team in a meeting at the Lisbon officeAI generated

We hire slowly and for a long time. If that sounds like you, look at the open roles.

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Bring us the problem nobody has cracked yet.

We are a small team of senior specialists. We pick the right model and the right layer, and we build the least machinery that does the job. You get a call with an engineer, not a sales deck.

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