Hi there 👋

• 🔭 I am currently working on

  • In DeFi
    • In the DeFi space I prefer to work with anon identities but I am open to disclose some of them in the right discussion, here are some projects I am working on atm
      • Solidity
        • Based in Perpetuals
          • Building an Algorithmic Stablecoin (anon)
          • Building a new DEX (anon)
          • Building Synths (anon)
    • Researching on Integrating protocols like Perpetual Protocol, Squeeth and more
    • Arbitrage Bots
    • Researching on Oracle: mostly Chainlink and the Umbrella Network

• 🔎 I am spending a relevant amount of time researching and publishing in areas like DeFi and the intersection between ML and Quant Trading, here are some examples

  • Curated publications (updated almost weekly)
    • 🧵Why Arbitrum Fees surpassed Ethereum ones at the end of June?
      • Also on LinkedIn
    • 🧵 DeFi Data Analysis - Weekly
    • 🧵 Quant Trading and Machine Learning
  • Some Twitter Threads of mine
    • 🧵 Amazing announcement by @Scroll_ZKP : achieved EVM compatibility at bytecode-level. what does it mean
    • 🧵 EIP 4844 TLDR, introducing a new type of TX: a TX carrying a blob of data? Why this? Why a "blob"? What is it for?
    • 🧵 How does the depositReceipt mechanism in Ribbon Finance work
    • 🧵 How does the UniV3 Unique Pool ID System work
    • 🧵 CFMM - Nerdy math thread
    • 🧵 DEX
    • 🧵 Options Pricing
    • 🧵Random #DeFi pill of the day
    • 🧵 Information Geometry - Nerdy math thread

• 💪 Something I have worked on

  • ML
    • Some recent peer reiview papers of mine
      • Reinforcement Learning
        • (HSCC 2021) A Few Lessons Learned in Reinforcement Learning for Quadcopter Attitude Control
          • With the Uber Elevate Team
  • Spent 1.5Y at the Uber Elevate research facility in Paris researching topics at the intersection of safety and machine learning
  • Spent 4Y at Ambarella researching and implementing computer vision algorithm on Ambarella's chips
  • Spent 4Y at VisLab developing technology for autonomous cars since 2012 and helping developing the company from the beginning
  • In the previous 8Y I have worked on Software Engineering stuff
  • Programming Languages I have worked with: C++, Python, Solidity, JS/TS, Scala, ...
  • Frameworks I have used
    • ML: Pytorch, Tensorflow
    • DeFi: Foundry, Hardhat

• 📚 Studied

  • Formal Education
    • PhD in Computer Vision and Robotics
    • MSc Computer Engineering
    • Second degree in Physics (Statistical Physics)
  • Self educated in
    • Math
      • Geometry
      • Functional Analysis
  • Research Interests
    • ML
      • Theoretical ML
        • Theory of Deep Learning
        • The intersection between Information Geometry and Machine Learning

• 🌱 I’m currently learning ...

  • DeFi

    • about the expanding DeFi ecosystem, currently focusing mostly on Ethereum and Solana

  • Languages

    • Learning Starkware - Cairo

  • Quant

    • StatArb
      • Deep Learning Statistical Arbitrage

  • Some ML stuff

    • Paper Summaries
      • ICML 2021 - Negative Data Augmentation

• 📫 How to reach me:

  • DM me on
    • 
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