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I am a Data Science & Machine Learning Engineer with 10+ years of experience across data engineering, advanced analytics, and applied AI in both industrial and research environments. I design, build, and operate scalable AWS-based data and ML platforms, delivering end-to-end solutions from data ingestion and transformation to production machine learning systems. I have hands-on experience deploying ML, NLP, Computer Vision and LLM-based solutions into web and mobile applications. I have a deep understanding of MLOps practices, including model lifecycle management, monitoring, and continuous optimization in production. I enjoy collaborating with cross-functional teams and translating complex technical solutions into tangible business value.…I am a Data Science & Machine Learning Engineer with 10+ years of experience across data engineering, advanced analytics, and applied AI in both industrial and research environments. I design, build, and operate scalable AWS-based data and ML platforms, delivering end-to-end solutions from data ingestion and transformation to production machine learning systems. I have hands-on experience deploying ML, NLP, Computer Vision and LLM-based solutions into web and mobile applications. I have a deep understanding of MLOps practices, including model lifecycle management, monitoring, and continuous optimization in production. I enjoy collaborating with cross-functional teams and translating complex technical solutions into tangible business value.

Daniel Manzano

Data Scientist, AI Engineer, Data Analyst, +2

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I am a Data Science & Machine Learning Engineer with 10+ years of experience across data engineering, advanced analytics, and applied AI in both industrial and research environments. I design, build, and operate scalable AWS-based data and ML platforms, delivering end-to-end solutions from data ingestion and transformation to production machine learning systems. I have hands-on experience deploying ML, NLP, Computer Vision and LLM-based solutions into web and mobile applications. I have a deep understanding of MLOps practices, including model lifecycle management, monitoring, and continuous optimization in production. I enjoy collaborating with cross-functional teams and translating complex technical solutions into tangible business value.…I am a Data Science & Machine Learning Engineer with 10+ years of experience across data engineering, advanced analytics, and applied AI in both industrial and research environments. I design, build, and operate scalable AWS-based data and ML platforms, delivering end-to-end solutions from data ingestion and transformation to production machine learning systems. I have hands-on experience deploying ML, NLP, Computer Vision and LLM-based solutions into web and mobile applications. I have a deep understanding of MLOps practices, including model lifecycle management, monitoring, and continuous optimization in production. I enjoy collaborating with cross-functional teams and translating complex technical solutions into tangible business value.

Available to hire

I am a Data Science & Machine Learning Engineer with 10+ years of experience across data engineering, advanced analytics, and applied AI in both industrial and research environments. I design, build, and operate scalable AWS-based data and ML platforms, delivering end-to-end solutions from data ingestion and transformation to production machine learning systems.

I have hands-on experience deploying ML, NLP, Computer Vision and LLM-based solutions into web and mobile applications. I have a deep understanding of MLOps practices, including model lifecycle management, monitoring, and continuous optimization in production. I enjoy collaborating with cross-functional teams and translating complex technical solutions into tangible business value.

Skills

Experience Level

Expert

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Work Experience

Data & Machine Learning Engineer at SOCOVESA S.A. (Chilean Real Estate)

March 1, 2025 - Present

Designed and deployed scalable data and machine learning pipelines for real-estate analytics and forecasting, migrating fully from manual, local model training to 100% automated cloud-native workflows on AWS. End-to-end automation across ingestion, training, scoring, and monitoring using AWS Glue, Lambda, Step Functions, EventBridge, and SageMaker. Built production-grade Generative AI systems using Large Language Models (LLMs) to analyse thousands of customer conversations, automatically generating structured insights, trends, and recommendations. Architected agentic LLM workflows with LangGraph, modelling multi-step reasoning as stateful graphs with validation, retries, and conditional execution, significantly improving output reliability and schema correctness for downstream analytics and dashboards. This work replaced manual, qualitative analysis with fully automated LLM pipelines, reducing time-to-insight by ~80%. Developed and deployed interactive insight applications on streamlit

Machine Learning Engineer at Silverpond

November 1, 2024 - March 1, 2025

Delivered production-quality computer vision components using optical flow architectures. Contributed to deployment pipelines using Docker, CI workflows, and real-time API inference. Participated in PR reviews, engineering discussions, and architecture decisions.

Machine Learning Engineer, Freelance at Centre for Applied Research and Innovation (CEININA)

March 1, 2022 - March 1, 2023

Developed deep learning models for healthcare-related motion and activity analysis. Published peer-reviewed work on AI for fall-risk identification in older adults. Created reproducible pipelines for preprocessing, training, and evaluation.

Data Engineer and Analyst in charge of the data area at Institutional Research and Data Unit, University of Chile

January 1, 2017 - October 1, 2022

Led the institutional data engineering area, built ETL pipelines for analytics dashboards. Applied NLP and unsupervised models to cluster staff activity patterns, producing insights that enabled policy reforms for 800 staff. Supervised a team of five computer engineering students in developing a software platform to store and manage data on extension and internationalisation activities.