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Work Background
Data Scientist / AI Engineer
GlobantData Scientist / AI Engineer
Dec. 2024 - Mar. 2026๐‚๐ฅ๐ข๐ž๐ง๐ญ: ๐€๐ฆ๐ž๐ซ๐ข๐œ๐š๐ง ๐‚๐ž๐ง๐ญ๐ฎ๐ซ๐ฒ ๐ˆ๐ง๐ฏ๐ž๐ฌ๐ญ๐ฆ๐ž๐ง๐ญ๐ฌ, ๐”๐’๐€ - Analysis and analytic simulation for the adoption of GitHub Copilot AI & Q Developer (AWS) coding assistants. Performing a study (survey, analysis and recommendations) from around 250 software developers. Identifying successful adoption of LLM usage and AI coding assistants to accelerate the Software Development Life Cycle. Calculating Net Benefit saving over 250K USD per quarter. - Evaluation of a QA framework for Agentic workflows from traditional deterministic practices to a mindset of non-deterministic evaluation using the observability principle (Logging, Tracing & Metrics) with OpenTelemetry. ๐‚๐ฅ๐ข๐ž๐ง๐ญ: ๐†๐ฅ๐จ๐›๐š๐ง๐ญ ๐€๐ˆ ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ, ๐‚๐ก๐ข๐ฅ๐ž - Generative AI (GenAI): Agentic workflow building and migration for Globant Presales core business operations. - I developed best prompt practices for Agentic flow stabilisation allowing the deployment of robust AI solutions. - Hands-on and testing of Model Context Protocol (MCP) servers. - Build and Test of Agent evaluations framework (Agent-Evals) and Metrics (G-Eval, RAG metrics). - Accelerated development by using Github-copilot and Cline prompt programming increasing delivery speed twice-fold. ๐‚๐ฅ๐ข๐ž๐ง๐ญ: ๐–๐š๐ฅ๐ฆ๐š๐ซ๐ญ, ๐‚๐ก๐ข๐ฅ๐ž - Fully automated Computer Vision model development and deployment for e-commerce publication compliance, significantly reducing the identification of time of security seals in market-place publications from several weeks to a few days. - Pricing analysis, clustering, modelling and deployment (Python & Docker) within the Business Intelligence team at Walmart-Chile significantly increasing sales and margin profits. - Deployment, testing and maintenance of the Pricing model via Google Cloud Platform (GCP): Bigquery, Artifact registry, Cloud Storage (Buckets), Cloud Run and Cron configuration.
Data Science Bootcamp Instructor
Sence Chile (Servicio Nacional de Capacitaciรณn y Empleo)Data Science Bootcamp Instructor
Mar. 2024 - Apr. 2024Santiago- Online instructor of an intensive Data Science Bootcamp via Zoom platform for 22 students from broad backgrounds (from Engineers to Social sciences and Veterinary degrees). - Teaching Python programming, Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn libraries supported with classical Datasets. - Version control in Git and project management in Github, Jupyter-notebooks in google-colab. - Data extraction, transformation and loading (ETL) methods in the context of CRISP-DM methodology. - Descriptive and inferential statistics. - Scikit-learn for Machine Learning and Deep Learning models demonstration. - Big data fundamentals with AWS/GCP and Pyspark-SQL.
Data Scientist / Data Analyst
Farallones HoldingData Scientist / Data Analyst
Jul. 2023 - Nov. 2024Santiago, Santiago Metropolitan Region, Chile- Data Scientist and Analyst leading the analytics team and mentoring Data Analysts, while working with a well-defined Scrum framework way-of-work. - Implemented an ETL automation system using Python and PostgreSQL tools allowing the team to perform expedited Data queries and data validation increasing data query productivity significantly. - Development and monitoring of a Machine Learning model (On-prem, Python, Polynomial Regression) in the Jewellery industry for cash-flow decision making. - Deployment of an automated ML Pipeline for time-series analysis (Python, Feature-engineering, LSTM, FastAPI, Streamlit, Docker, Docker compose) for Jewellery inventory. - Power-BI automated report solution (smart Jewellery inventory tracking) and client-facing presentation helping business operations. This delivery reduced restock decision making from weeks to a few days between the operations department and store branches of the company. - Proof-of-Concept Agentic workflows (implementation with Langchain and Langgraph) for Coffee-shop ordering, and Retrieval-Augmented Generation (RAG) for Jewellery documentation demonstrating the potential of AI solutions to stakeholders.
Scientific leader: Image feature extraction and data modeling of liquid ultrasound driving systems
Universidad de ChileScientific leader: Image feature extraction and data modeling of liquid ultrasound driving systems
Apr. 2020 - Apr. 2023Santiago, Santiago Metropolitan Region, Chile- Principal researcher and project leader managing a 3-year funding through a scientific grant of equivalent 100k USD (ANID FONDECYT Chile). - Data processing, analysis and visualisation using Python: Numpy, Pandas and Matplotlib. - Numerical simulation of the acoustic field of self-focused acoustic ejectors using COMSOL software. - In-house fabrication of acoustic ejectors to generate high-viscous jets and droplets. - 3D printing experience (PLA/Resin) for the design of small objects: fabrication of micron featured Fresnel acoustic lenses. - Material Science & Chemistry: I manufactured UV curable hydrogels from nanocellulose and gelatin-methacrylate and performed their material characterization.
Researcher: Liquid jet and droplet ejection using mechanical impact and laser techniques
Tokyo University of Agriculture and TechnologyResearcher: Liquid jet and droplet ejection using mechanical impact and laser techniques
Apr. 2018 - Mar. 2020Tokyo, Japan- Postdoctoral researcher in a prestigious Fluid mechanics laboratory (Prof. Tagawa's group) of liquid jet dynamics, micro-jets and droplet generation. - Mastered the operation of high power, nano-pulsed laser and mechanical liquid Jet ejection devices. - Performed rheology characterisation of polymer solutions using a modern rheometer (ARES TA Instruments). - I introduced the extensional rheology technique: drop-onto-substrate capillary extensional rheometry (DoS-CaBER) to characterise ink quality in printing electronics and soft matter deposition.
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