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J.Francisco Munoz-Elguezabal, Phd (Candidate) Email & Phone Number
Senior Quantitative Researcher and Developer (Rust)
at
IteraLabs.ai
1 work email found
@keyrock.eu
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Quantitative Researcher and Developer (Rust)
Location
Guadalajara, Jalisco, Mexico
Who is J.Francisco Munoz-Elguezabal, Phd (Candidate)? Overview
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Quick answer
J.Francisco Munoz-Elguezabal, Phd (Candidate) is listed as Senior Quantitative Researcher and Developer (Rust) at IteraLabs.ai, based in Guadalajara, Jalisco, Mexico. AeroLeads shows a work email signal at keyrock.eu and a matched LinkedIn profile for J.Francisco Munoz-Elguezabal, Phd (Candidate).
J.Francisco Munoz-Elguezabal, Phd (Candidate) previously worked as Rust Data & ML Engineer at Iteralabs.Ai and Associate Professor in Machine Learning at Iteso Universidad Jesuita De Guadalajara. J.Francisco Munoz-Elguezabal, Phd (Candidate) holds Doctor Of Philosophy (Phd), Engineering Sciences & Artificial Intelligence, Artificial Intelligence from Iteso Universidad Jesuita De Guadalajara.
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Email format at IteraLabs.ai
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*@keyrock.eu
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Profile bio
About J.Francisco Munoz-Elguezabal, Phd (Candidate)
As a dedicated professional, I specialize in Data and Machine Learning Engineering, focusing on the innovative intersection of Generative AI and Blockchain technologies within Decentralized Finance. My expertise lies in optimizing performance and engineering solutions that drive efficiency and scalability in these cutting-edge fields. Currently, I collaborate as an individual observer member at mlcommons.org, engaging with High-Performance Computing (HPC), Datasets, and Train/Inference/Storage groups to enhance machine learning standards and practices.I have a B.Eng in Financial Engineering (where I've focused to Computational Finance), an M.Sc in Data Science (with strong focus on scientific computing), and more recently a Candidate to a PhD in Engineering Sciences on the AI & Distributed Evolutionary Computation focus.I am passionate about leveraging Rust programming for data-intensive applications, particularly in quantitative modeling. My current projects include:Atelier: A computational framework/engine designed for market microstructure high-frequency modeling, synthetic simulation, and historical market reconstruction/replay.Magnetise: A Rust library that assesses the similarity between SQL queries, providing tools for better query optimization and analysis.Molina: An innovative tool, with a Rust engine and a Python Wrapper, that employs an agentic approach to facilitate interaction through research-related questions, generating responses solely based on an academic paper knowledge base provided by the user.With activities in the industry now encouraged during my PhD program, I am officially open to positions related to applied research and engineering in DeFi. I look forward to connecting with like-minded professionals to explore opportunities that allow me to apply my skills in Rust software engineering to solve complex data challenges.
Listed skills include Data Science, Python, Git, Financial Analysis, and 21 others.
Current workplace
J.Francisco Munoz-Elguezabal, Phd (Candidate)'s current company
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12 roles
J.Francisco Munoz-Elguezabal, Phd (Candidate) work experience
A career timeline built from the work history available for this profile.
Rust Data & Ml Engineer
CurrentIteraLabs.ai produces applied research in related topics to Generative AI and Financial Machine Learning Models
Jan 2024 - Present
Associate Professor In Machine Learning
Thesis Director.- Mathematics and Physics Department.- Program: For students in the Masters Of Science in Data Science program.- Research topic 1: Financial Machine Learning.- Research topic 2: Quant Trading/Market-Making in DeFiAssociate Professor for the course Microstructure and Trading Systems:- Mathematics and Physics Department.- Program: For.
Aug 2019 - Jul 2024
Adjunct Professor
- Market Microstructure and Trading Systems (Lecturer)- Professional Application Program (Lecturer & Thesis Advisor)- Seminars on Algorithmic Trading Systems and Financial Machine Learning Topics
Aug 2017 - Aug 2019
Quantitative Data Engineer
My activities evolved to: - AWS / Terraform Cloud Data Infrastructure.- High-performant computing with Rust for data ETL pipelines.- Clickhouse DB + Rust eUDFs for DeFi Modeling Infrastructure Optimization.- MLOps in AWS.- Rust for Query Similarity and Optimization Techniques
Feb 2023 - Mar 2024
Quantitative Trader/Developer
Crypto market maker that builds scalable, self-adaptive algorithmic technologies to support sound and efficient markets. My activities were: - Microstructure analytics for Crypto-Markets- Financial Machine Learning for LOB Modeling- Power User of Data Ops / Engineering suite- Rust Programming for Algorithms Backtesting.
Aug 2021 - Feb 2023
Ml Engineer & Technical Co-Founder
- Startup valuation algorithm with Montecarlo simulation implemented in AWS distributed infrastructure.- Follow-up grant award by the National Council of Science and Technology (CONACYT) through the Binational Nodes for Innovation program.- 2nd place in Inc Crowded Festival 2018 / Regional Startup competition organized by ITESM - Guadalajara Campus- Got an.
Jan 2019 - Mar 2021
Credit & Investment Project Lead Developer
- Technical Leader for software development project- Modeling Financial Processes for Public Program- Risk models design, implementation and deployment
Feb 2018 - Feb 2019
Technical Lead - Data Engineering & Modeling
Zlife.Io
Worked as a contractor for this AdTech Startup that was developing an algorithm for Advertising/Attention trading with Facebook Ads, Google Ads, Taboola, and several other sites and traffic online exchanges.- WebScrap / REST API data engineering.- Analytics / Predictive models dashboard with Python.
Jun 2017 - Feb 2018
Technical Lead - Data Ops And Algo Trading
- Machine Learning for online prediction of Financial Time Series.- Data Engineering in Cloud (AWS) Optimize/Deploy/Monitor of Algorithmic Trading Systems.- Monitoring dashboard R + Linux + SQL + AWS.- Technical lead of the onsite and remote team.
May 2015 - May 2017
Technical Lead (Pap) - Mathematics And Physics Department
Technical Lead as Professor/Consultor figure in Professional Application Project, Optimization Methods for Investment Programs in Financial Intermediaries.- High Performance Computing for Montecarlo Simulation.- Data Operations for Linux Environment.- Statistical Learning, Time Series Forecasting, Quantitative Finance.
Dec 2014 - Apr 2015
Applied Technical Junior Researcher - Mathematics And Physics Department
Undergraduate intern for research and development at Mathematics and Physics Department at ITESO.- Learned Machine learning with parallel computing and achieve an improvement of speed by 300%- Developed connection to several data sources, structured and unstructured, for financial analysis.- Improved presentation skills in workshops in statistical.
Jan 2013 - Dec 2014
4 education records
J.Francisco Munoz-Elguezabal, Phd (Candidate) education
Doctor Of Philosophy (Phd), Engineering Sciences & Artificial Intelligence, Artificial Intelligence
Iteso Universidad Jesuita De Guadalajara
Master Of Science (M.Sc), Data Science
Iteso Universidad Jesuita De Guadalajara
Bachelors Of Engineering (B.Eng), Financial Engineering
Iteso Universidad Jesuita De Guadalajara
Highschool With Technical Degree, Electronics & Communications
Centro De Enseñanza Técnica Industrial
FAQ
Frequently asked questions about J.Francisco Munoz-Elguezabal, Phd (Candidate)
Quick answers generated from the profile data available on this page.
What company does J.Francisco Munoz-Elguezabal, Phd (Candidate) work for?
J.Francisco Munoz-Elguezabal, Phd (Candidate) works for IteraLabs.ai.
What is J.Francisco Munoz-Elguezabal, Phd (Candidate)'s role at IteraLabs.ai?
J.Francisco Munoz-Elguezabal, Phd (Candidate) is listed as Senior Quantitative Researcher and Developer (Rust) at IteraLabs.ai.
What is J.Francisco Munoz-Elguezabal, Phd (Candidate)'s email address?
AeroLeads has found 1 work email signal at @keyrock.eu for J.Francisco Munoz-Elguezabal, Phd (Candidate) at IteraLabs.ai.
Where is J.Francisco Munoz-Elguezabal, Phd (Candidate) based?
J.Francisco Munoz-Elguezabal, Phd (Candidate) is based in Guadalajara, Jalisco, Mexico while working with IteraLabs.ai.
What companies has J.Francisco Munoz-Elguezabal, Phd (Candidate) worked for?
J.Francisco Munoz-Elguezabal, Phd (Candidate) has worked for Iteralabs.Ai, Iteso Universidad Jesuita De Guadalajara, Keyrock, Fojal, and Zlife.Io.
How can I contact J.Francisco Munoz-Elguezabal, Phd (Candidate)?
You can use AeroLeads to view verified contact signals for J.Francisco Munoz-Elguezabal, Phd (Candidate) at IteraLabs.ai, including work email, phone, and LinkedIn data when available.
What schools did J.Francisco Munoz-Elguezabal, Phd (Candidate) attend?
J.Francisco Munoz-Elguezabal, Phd (Candidate) holds Doctor Of Philosophy (Phd), Engineering Sciences & Artificial Intelligence, Artificial Intelligence from Iteso Universidad Jesuita De Guadalajara.
What skills is J.Francisco Munoz-Elguezabal, Phd (Candidate) known for?
J.Francisco Munoz-Elguezabal, Phd (Candidate) is listed with skills including Data Science, Python, Git, Financial Analysis, Financial Markets, Amazon Web Services, Cloud Computing, and Latex.
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