"As an Engineer, I work at the intersection of problems, collaboration, resources, and strategy by capturing stakeholders' needs and designing sustainable solutions through empowering and enabling teams in the overall Software Lifecycle Development."
Profile
Seasoned Software Engineer with a Master's degree in Artificial Intelligence
Agile methodologies and CRISP-ML Practitioner
Team player, researcher, and mentor
Technical and Management experience in Continuous Delivery projects with remote teams
Summary
Software Engineer with over 17 years of experience and a continuous career progression, and an MSc. in Artificial Intelligence currently seeking opportunities in Machine Learning operations-related positions.
Detail
Experienced in technical and management roles involved in successful kickoff teams, delivering end-to-end implementations in industries such as Finance (Retail / Asset Management-Funds), Marketing, and Video Games. Built value-driven business relationships with stakeholders while leading remotely Engineering, Quality Assurance, and DevOps teams.
Values
- Integrity
- Collaboration
- Commitment
- Caring
- Continuous Improvement
Experience
Contact me and let's discuss new opportunities!
Head of AI
Designed and implemented Artificial Intelligence solutions, and integrating them into clients' existing ecosystems to drive strategic objectives.
AI & Software Developer
Developed a Natural Language Processing(NLP) analysis pipeline over meeting transcripts with Spacy, NLTK, and Scikit-learn.
Machine Learning Engineer & Team Facilitator
Built Web Application on Vue.js & Flask for a Natural Language Processing task (NLP), such as text abstraction over digital documents Implemented an ML Process for fine-tuning multi-language corpus generation as input to a Named-Entity Recognition (NER) model trained over BiLSTM architecture.
Project Head / Operational Risk Manager
Designed, managed, and coached Costa Rica’s Google Certification program on GCP which helped GFT to acquire “Breakthrough Partner of the Year 2019-2020”.
Audited and advised CR, US, and BR project engagements on the delivery process: risks, financials, relationships, assignment, quality, and methodology.
Technical Lead & Program Manager
Managed a project catalog over continuous and agile deliveries based on Microsoft and Java technologies, Cloud (AWS), JavaScript libraries and custom backend frameworks. Clients: The Blackstone Group, and Investment Advisory Cambridge Associates.
Number8 (formerly known as "Prosoft Nearshore")
Technical Lead
Managed two projects with offshore teams for EA Sports and Global Channel Management. Re-designed and implemented architectures for several local and web-based applications.
Technical Lead / Architect / CTO
Spearheaded as a technical leader of multiple projects for Citigroup Costa Rica. Drove company’s technical research on market technologies, assess technical projects, etc.
Encora (formerly known as "Avantica Technologies")
Software Developer
Established SUGEF’s v4 audit bank application and custom projects for retail banking and inter-banking for BAC San José. Drove company’s technical research on market technologies, assess technical projects, etc.
Skills
And if it’s not listed here, I'm a fast learner!
- Adaptability
- Teamwork
- Time-Management
- Critical Thinking
- Communication
- Leadership
- Software Engineering for continuous delivery implementations
- Agile Business Engagement & Analysis
- Machine Learning Operations (MLOPS)
- Exploratory Data Analysis, Visualization, Featuring Engineering & Data Processing
- Machine Learning & Deep Learning Algorithms
- Model Development, Evaluation, Deployment & Scoring
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- Python
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- .NET
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- git
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- SQL (mysql,postgresql,mssql)
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- MongoDB
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- Docker
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- Scikit Learn
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- Tensorflow
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- Pytorch
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- HuggingFace
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- SpaCy
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- mlflow
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- OpenCV
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- Flair
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- Gymnasium
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- Stable Baselines 3
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- Pycaret
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- Flask
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- FastAPI
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- Streamlit
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- Postman
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- AWS - Amazon Web Services
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- GCP - Google Cloud Platform
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- pyspark
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- pandas
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- polars
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- plotly
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- seaborn
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- matplotlib
Portfolio
Here are some of my works and experiments in exports from Jupyter Notebooks. These are far from perfect and the purpose is to display my approaches and techniques applied to the datasets. Be wary of Spanish content with English Code.
Reinforcement Learning in Mortal Kombat 3 via Diambra
In progress
RL Agents trained in Diambra Platform with SB3, Gymnasium & Optuna. Game: Mortal Kombat 3
Submission 2nd PlaceReinforcement Learning in Super Puzzle Fighter II
In progress
Custom Environment developed with: Gymnasium, Stable Baselines 3 and Optuna.
Hyperparameter Optimization Session (Recording)International Coffee Association 2023 Recommender
Recommender developed with Streamlit and Google Cloud Platform(GCP). Leveraging Coffee Quality Institute data and Scikit-Learn.
DemoKaggle's July 2022 Tabular Playground Series: Clusters
Semi-supervised cluster identification with self/fine improvement.
Jupyter NotebookText Analytics and Abstraction - Master AI Project 2022
2022 Master's Project - Text Analytics and Abstraction from Digital Documents with NER(BILSTM-CRF) for Celsa Group.
Jupyter NotebookSentiment Analysis over AmazonReviews
Sentiment Analysis over VideoGame Amazon Reviews - Classification with SCV/RFC/LogisticRegression with scikit learning and mlflow.
Jupyter NotebookElectrical Fraud's Tunisia Hack 2019
Classification - Oversampling - Hyperparameters with Pycaret.
Jupyter NotebookRNN with Keras - Activation, Optimization, Convolutions and Pooling
Keras & Tensorlfow Optimization and Algorithm Warrior for MNIST.
Jupyter NotebookStable Diffusion Project
Paused
Natural Language Processing and Stable Diffusion working together.
What is Stable Diffusion?Recommendations
Here are some of my recommendations from LinkedIn
