I Have a background on B.Eng in Financial Engineering, M.Sc in Data Science, and, PhD in Engineering Sciences for AI (Candidate). I work also as a Quant Dev & Rust Data/ML Engineer contractor for projects about DeFi and Generative A.I. space, through iteralabs.ai.
| Name | Description | Official |
|---|---|---|
| atelier-rs | Rust Engine for High Frequency, Synthetic and Historical, Market Microstructure Modeling. | Rust / Quant / HFT |
| luciene-sl | Transparent and Stateless Agent for OnChain Financial Models | Solana / MEV / Quant |
| magnetise | A Rust library to find similarity between SQL queries | Rust / SQL / Regex Pattern |
- Best Research Paper: Mexican International Conference on Artificial Intelligence, MICAI 2024
- Grant: Becas Nacionales de Posgrados: PhD full scolarship and stipends, SECIHTI 2024
- Best Research Poster: Escuela de Probabilidad y Estadistica, CIMAT 2021
- Grant: Academic Level Improvement Programm to Young Researchers, ITESO 2019
- JF Munoz-Elguezabal, DF Arriaza-Alonzo. The Role of Sparse Training and Evolutionary Optimization in Volatility Forecasting Models, Research Journal on Computer Science and Computer Engineering link
- JF Munoz-Elguezabal, BT Rojas-Mayorquin. Leveraging Data-Intensive Graph Attention Networks to Quantify the Bitcoin Blockchain True Decentralization. Pending Publication
- More in ... scholar.google.com
- AlgoPerf Engineeringr : Not as much as I would like to, but I try to contribute to the AlgoPerf: Training Algorithms Benchmark Results Group.
- Fun fact: I'm still processing a couple of pages I read from Gödel, Escher, Bach: an Eternal Golden Braid. Hofstadter.
- Lets Connect !: LinkedIn