Darian Reyes Fernández de Bulnes

Data Scientist

University of Galway / Kilkenny Group•  June 2024 - May 2025•  Ireland

Data Scientist in the Kilkenny Group with the Omni-chaNnel Self sErvice analyTics (ONSET) project. Business Intelligence, Analytics, Machine Learning, and LLMOps.

Machine Learning Engineer

BDS Group within the Department of Computer Science and Information Systems, University of Limerick•  January 2023 - May 2024•  Ireland

Patent “Circuit Generation System And Method.”, a Machine Learning-powered tool that can automatically design synthesisable digital circuits. The first circuit has already been fabricated by TSMC. Machine Learning Engineer in the successful SFI-funded ADDC project supported by industry partners like Intel, Huawei, and Analog Devices. Using C/C++, GRACE, Multi-objective Evolutionary Computation, Machine Learning, FPGA, and ASIC. Design and development of open-source library GRACE: Grammatical Algorithms in C++ for Evolution. Object-oriented C++ implementation for Machine Learning and Optimization. Senior author in GECCO 2024 paper: Feature encapsulation by stages using grammatical evolution. Using Python, GRAPE, Evolutionary Computation, and Machine Learning. Co-author in EvoStar 2024 paper with a nomination award: Interpretable solutions for breast cancer diagnosis with grammatical evolution and data augmentation. Using Python, GRAPE, Evolutionary Computation, Machine Learning, and Interpretability.

Freelance Senior Software Developer and Machine Learning Engineer

Automated Customs Experts Group, Inc.•  September 2022 - May 2024•  USA

Design and development of a cloud-based platform for customs trade management at USA borders. Using ReactJS, Ruby on Rails, Docker, Docker Compose, Terraform, Serverless computing, DevOps, and microservice architecture.

Freelance Full-Stack Software Developer

Odasoft•  September 2019 - May 2024•  Mexico

Development of a school management system. Using JQuery, Ruby on Rails, and monolith architecture.

Fulltime Senior Software Developer, Data Scientist, and Machine Learning Engineer

Advance Methods Corporation•  May 2018 - December 2022•  Mexico

Design and development of a SaaS business intelligence platform for the educational domain with more than 100,000 users. Using ReactJS, Ruby on Rails, Serverless computing, DevOps, MLOps, microservice architecture, and evolutionary computation. Design and development of a machine learning-based platform for lead scoring and commercial sales optimisations. ReactJS, Ruby on Rails, Docker, Docker Compose, Terraform, Serverless computing, DevOps, MLOps, microservice architecture, and evolutionary computation. In a corporative evaluation using the 360-degree method, I was the department's best-scored staff member (out of more than 70 employees). Project manager of a multi-disciplinary team, including software developers, educators, and psychologists.

Co-Founder and CEO

Nival LLC•  September 2011 - January 2016•  Cuba

Head of the multidisciplinary software development agency specialising in digital branding products such as websites, apps, online stores, and business management systems. Later, it evolved into a consulting firm focusing on artificial intelligence and data analytics. I lead a dynamic team of over 10 employees, providing strategic direction, problem-solving, and fostering collaboration to drive the company towards success. I proudly include renowned industry companies and institutions in our client portfolio, such as Havana Club (a branch of the French multi-national Pernod Ricard), the National Ballet of Cuba, and the Wilfredo Lam Contemporary Art Center.

National Institute of Technology

Computer Science & Engineering, PhD•  January 2016 - December 2019•  Percentage: 98.57

Ph.D. in Engineering Sciences, Electrical and Electronic Engineering Department, National Technological Institute, Baja California, Mexico. Final grade: 98.57 in 0-100 Grade Point Average scale. First Class Distinction award. Dissertation title: “Multi-objective evolutionary algorithms for high-level synthesis in FPGA devices”. Online demo “VHDL by MOEA”. Multi-objective optimization in High-Level Synthesis. Frameworks Django (python) and PISA (C/C++). CONAHCYT scholarship.

Havana University

Computer Science, MS•  February 2014 - January 2016•  GPA: 4.667

Master in Computer Science, Mathematics and Computer Faculty, University of Havana. Final grade: 4.667 in 0-5 Grade Point Average scale. Dissertation title: “Multi-objective Minimum Population Search”.

University of Computer Sciences

Computer Science, BS•  September 2006 - July 2011•  null: 5.067

Engineer in Computer Sciences, University of Computer Sciences. Final grade: 5.067 in 0-5 Grade Point Average scale (0.67 extra points won at award exams and awards in international competitions). First Class Distinction award. Dissertation title: “Risk Quantitative Analysis on Redmine”. International professional placement: Maintenance of an administrative medical software. (Venezuela, September 2009 - April 2010). Teacher assistant in Data Structures and Programming assignments. 67 programming problems solved in Sphere Online Judge (SPOJ) (https://www.spoj.com/users/uci_016).