Madrid, Spain | [email protected]

🔗[https://www.linkedin.com/in/santiago-rincon-martinez/]

• Seeking NLP challenges to leverage my skills and experience in deep learning and NLP, contributing to the development and improvement of large-scale language models and their applications. Focused on NLP specialization, prompting (LangChain framework), and tuning.
• Working in RAG systems (Vectorial DB based RAG or GraphRAG)
• Deepening my specialization on MLOps systems, leveraging cloud tools to serve ML models and systematize their development.

• Fact Fueled AI: Talk To Your Documents DevBCN 2024, practical approach to RAG
• Talking With AI DevBCN 2023, speech to speech conversational agent creation using OS models

• "Hermod" conversational abstraction. Spokesman generation. Commercialized as 'Spokes'

• Yggdrasil - A Big Data Walk
• MLOps: A Survival Guide

Mathematics and Informatics Engineering (Double Degree) - Universidad Complutense de Madrid (2013-2018)

Invofox

• Designing and developing inhouse MLOps platform to leverage models through an API
• Expose the previously mentioned platform as Python SDK to systematize models optimization and Data Scientists' research
• Applied DevOps and MLOps principles
• Leveraged AWS, GCP and various OS tools (Docker, ONNX, Pulumi, Gitlab CI...) to build MLOps platform
• Build using Clean Architecture principles
• Document and present development plans to stakeholders

INLAB Digital

• Designed the data collection and exploitation process using GCP tools
• Applied DevOps and MLOps principles
• Utilized TensorFlow for modeling, TFX for pipeline orchestration over VertexAI
• Managed work in a Kanban environment using JIRA and BitBucket
• Documented and presented development plans to stakeholders

Minsait

• Worked for BBVA client in data exploitation and financial risk analysis using statistical techniques
• Developed and implemented data analysis and collection systems, data quality processes in Python
• Managed SQL (MySQL) and NoSQL (Hadoop) databases
• Processed data using Spark
• Utilized Google Cloud for system development and JIRA for scrum task management

Akkademy S.A., Switzerland | Akka France, Lyon, France

• Developed and deployed AI algorithms for Link&Go self-driving car using Python and optimized performance with C
• Completed courses in Hadoop, Spark, Unity, and soft skills

• Programming Languages: Python (Advanced), Bash (Intermediate)
• Frameworks: Apache Beam, Pandas, TensorFlow, TFX, Pytorch, SciKit-Learn, LangChain, HuggingFace
• Databases: BigQuery, MySQL
• Other Tools and Technologies: GIT, GCP (Dataflow, CloudBuild, Workflows, CloudFunctions, VertexAI), DVC
• Functional Skills: MLOps Principles, Deep Learning models (DCNs, Transformers), Statistical and Probabilistic Analysis, Algebra, Numerical Analysis

Spanish (Native), English (C1), French (A2), Chinese (A1), Romanian (A2)

• Empathy, communication, and teamwork developed through volunteering activities and participation in rugby teams
• Leadership and coordination demonstrated as Department Leader at INLAB Digital and Governing Council member at Universidad Complutense de Madrid

• Passion for sharing knowledge and developer advocacy
• Medal of Honor for the Services to the University (2017)
• Effective written communication skills, demonstrated through published work
• Adaptability, learning passion, competitiveness, and result-orientation
• Experience as an elder brother in a large family (6 children) and its influence on teamwork and leadership skills