As a highly motivated and adaptable computer science professional, I bring to the table a diverse background in programming models and methodologies for heterogeneous parallel platforms, big data analytics, and implementing artificial intelligence algorithms. My results-oriented approach and commitment to delivering high-quality outcomes are evident in my work. With a comprehensive skill set that includes proficiency in programming languages such as C99, C++, Java, and Python, as well as HDL languages such as Verilog, I am well-equipped to take on a wide range of technical challenges. My research interests extend to heterogeneous and distributed computer programming technologies, high-level algorithm analysis, machine learning, and big data analytics.
Currently, I am a senior scientist at the EPFL SCI STI MM laboratory in Lausanne, where I am working on big data analysis of transactions and smart contract networks design methodology in major blockchains, having published the first scientific peer-reviewed paper on non-fungible tokens, better known as NFTs. As a senior scientist, I oversee projects related to blockchain applications, digital media, and the implementation of 5G technology for IoT systems.
My main scientific interests are related to:
- High-level dataflow programming models for heterogeneous parallel platforms and distributed computing in blockchain.
- Metaverse data modelling and architecture standardization within the Moving Picture, Audio and Data Coding by Artificial Intelligence MPAI standardization body group (project called MPAI-MMM).
I am also the co-founder of WhaleAnalytica.com, a project that was born with the objective to explore the potential of data analysis and smart contract implementation in the market. As a computer science and machine learning expert, I am responsible for implementing the analysis algorithms and managing the data collection process and IT infrastructure. The goal of this project is to harness the transparency of the blockchain to provide valuable insights into the crypto/web3 digital asset market. Additionally, recognizing the need for tools to evaluate the value of real estate digital assets, I have created the first metaverse appraiser tool to determine fair values based on various factors affecting price. To achieve this, I developed a proprietary ML engine and a OpenAPI RESTful API where users can access heterogeneous data in a uniform way. Through my work with DAOs and NFT projects, I have gained extensive experience in smart contract protocols implementation and auditing on DLT systems.