Workactive
Squad Lead, MLOps Engineering · BCP
Migration of 70+ models to Azure, Feature Store and InnerSource.
Available for freelance
Hi, I am Daniel Alpiste Sarmiento
Problem Solver with 5+ years in Data Science, DevOps and Machine Learning. Tech-savvy, adaptive and efficient, specialized in creating innovative cloud-based solutions and ML model deployment that generate real business impact.
$ whoami
Squad Lead · MLOps Engineering @ BCP
Lima, Peru · UTC−5
databricks · pyspark · github-actions · dabs
Icaro impact$15MAB InBev · 2022
models migrated to Azure70+BCP · 2025→
productization15d → 15minBCP · GitHub Actions
squad size9 → 30BCP · people
Section 01 · Principles
How I work
Tech-savvy
Deeply understanding the fundamentals leads to better decisions.
Adaptive
Working full-time from my seventh semester taught me to adapt.
Efficient
Efficiency under pressure.
Seek solutions before assigning blame.
Personal mantra
Everything is code, commits are semantic, and we trust the Delta Log.
Working motto
Section 02 · About me
About Me
I am Daniel Alpiste, 25 years old, and if I had to describe myself with one word it would be: Problem Solver. My philosophy is to look for solutions rather than assign blame, and I find genuine pleasure in tackling complex challenges. My approach is based on three fundamental pillars: being Tech-savvy, Adaptive and Efficient, and my passion for self-learning with an O'Reilly subscription that allows me to stay updated on modern data and Machine Learning architectures.
Outside of work, I have been training since 2018 (fitness reflects my discipline), I am a DJ specialized in tech house, and I currently read about self-improvement and business.
Off the keyboard
🏋️ Training since 2018🎧 DJ · tech house☕ Coffee🎮 Gaming📚 Sell Yourself · The Personal MBA📖 O’Reilly
My coworkers call me “the tech translator”.
Section 03 · Now · 2026
What I am on right now
Teachingactive
Master's degree professor
Explaining distributed computing.
Startupsactive
Mentorium · DALA
EdTech, and a container import management app: shipment tracking, logistics costs and customs paperwork.
Ventureactive
Brodies Factory
Co-founder and CTO of a dark kitchen for brownies, blondies and cookies.
Section 04 · Experience & education
Experience & Education
2025
2022
2021
2020
2018
2018
2015
Section 05 · Stack
Tools and levels
Advanced
PythonSQLPower BI
Intermediate
DevOps & MLOpsGit/GitHubKubernetesApache Spark
Orchestration
Apache AirflowJenkinsGitHub Actions
Cloud
Azure Data FactoryAzure DatabricksAzure FundamentalsAzure Administrator
Today
DatabricksPySparkDatabricks Asset BundlesGitHub Actions
Certifications and awards
Azure Data FactoryAzure DatabricksAzure FundamentalsAzure AdministratorWinner Innovatón 2020
Section 06 · Projects
Featured Projects
$15Mprofit · AB InBev 2022
Icaro - Analytical Logistics Platform
Logistics analytics product that contributed to a $15M profit increase in 2022. Full MLOps implementation with Azure, Kubernetes and MLflow for ML model management.
AzureKubernetesMLflowDatabricksPythonCI/CD
+20%customer acquisition · Interbank
Customer Acquisition ML Pipeline
Machine Learning system to improve phone campaign contactability, resulting in a 20% increase in new customer acquisition at Interbank.
PythonScikit-learnSQLApache AirflowModel Optimization
#1Innovatón 2020 · Interbank
Post-Sale Chatbot - Winner Innovatón 2020
Intelligent post-sales chatbot built with Google Dialogflow and Flask. Winner of first place at Interbank's Innovatón 2020, significantly improving customer service.
Google DialogflowFlaskPythonNLPAPI Integration
120dashboards · 90% usage · QROMA
Power BI Dashboard Suite - QROMA
Development and audit of 120 Power BI dashboards with 90% usage, significantly improving decision-making tools at QROMA.
Power BIDAXSQLETLData Modeling
4h → 10sprocessing time · Interbank
Lead Distribution Optimization
Optimization of lead distribution algorithm for acquisition campaigns, reducing processing time from 4 hours to 10 seconds.
PythonAlgorithm OptimizationSQLPerformance Tuning
Section 07 · Services
Services
01
MLOps Implementation
Diseño e implementación de pipelines MLOps completos con Azure, Kubernetes y MLflow.
CI/CD para MLModel RegistryAutomated DeploymentMonitoring
02
Data Engineering
Arquitecturas de datos escalables con Azure Data Factory, Databricks y Apache Spark.
ETL PipelinesData LakesReal-time ProcessingData Quality
03
Business Intelligence
Dashboards y análisis de datos con Power BI, SQL y herramientas de visualización.
Power BI DashboardsKPI TrackingData ModelingSelf-Service BI
04
Cloud Architecture
Diseño de arquitecturas cloud-native en Azure para workloads de Machine Learning.
Azure ArchitectureKubernetesMicroservicesCost Optimization
05
ML Model Development
Desarrollo y optimización de modelos de Machine Learning para casos de uso específicos.
Algorithm DevelopmentModel OptimizationFeature EngineeringA/B Testing
06
Technical Consulting
Consultoría estratégica en transformación digital, Data Science y MLOps.
Digital StrategyTeam TrainingBest PracticesTechnology Selection
¿Listo para transformar tu organización con MLOps?
Contáctame para discutir cómo puedo ayudarte a implementar soluciones de Machine Learning escalables y automatizadas que generen valor real para tu negocio.
Section 08 · Contact
Contact Me
Feel free to reach out for collaborations or just a friendly hello!
Información de contactodanielalpiste@gmail.com+51 941 - 952 - 278Lima, Perúlinkedin.com/in/danielalpistegithub.com/danielalpiste