Juan Herrera

AI Researcher

La Florida, Santiago Metropolitan Region, Chile15 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in MLOps and scalable ML solutions.
  • Proven track record in AI deployment efficiency.
  • Strong background in cloud technologies and DevOps.
Stackforce AI infers this person is a skilled MLOps Engineer with a focus on AI and cloud technologies.

Contact

Skills

Core Skills

Retrieval-augmented Generation (rag)Prompt EngineeringMlopsKubernetesMachine LearningSoftware DevelopmentCompliance Engineering

Other Skills

LangChainOpenAI APIAnthropic ClaudePineconeollamaVector StoreFastAPIAmazon Web Services (AWS)Amazon Relational Database Service (RDS)Amazon S3Prompt TunningUnstructured DataUser BehaviorTransformer ModelsDatabases

About

My focus as an MLOps Engineer has been on elevating machine learning deployments using serverless infrastructures. Through my expertise in cloud technologies, I've empowered PriceWaterhouseCoopers consultants with Python and FastAPI templates, significantly enhancing deployment efficiency and scalability. My proficiency with Kubernetes, Docker, and Helm has been instrumental in optimizing serverless platform performance, ensuring system resilience in high-demand settings. Previously, as a Machine Learning Engineer at Walmart Chile, I spearheaded the creation of an MLOps team, aligning AI model exploitation with the company's analytics strategies. My role involved adapting US compliance standards to local regulations, transforming grocery queue predictions, and refining product recommendations. The deployment of a robust demand prediction model using Vertex Pipelines stands as a testament to my ability to implement scalable solutions and maintain high-performance systems.

Experience

15 yrs 6 mos
Total Experience
1 yr 8 mos
Average Tenure
4 yrs 1 mo
Current Experience

Ragtech

Senior Generative AI Engineer

Jan 2024Present · 2 yrs 5 mos · Santiago, Santiago Metropolitan Region, Chile · Remote

  • As Lead Generative AI Engineer, I addressed complex document understanding and question-answering needs across multiple industries by architecting and implementing enterprise-grade RAG systems. Leveraging advanced prompt engineering techniques including Chain-of-Thought, Few-Shot Learning, and System Prompting, I integrated cutting-edge LLM technologies to create sophisticated AI solutions.
  • The implementation significantly transformed operations by reducing expert consultants' research and analysis time from 2-3 weeks to under 30 minutes per complex query, while maintaining high-quality responses across legal, technical, and insurance domains. This was achieved through expertise in LangChain, OpenAI API, Claude/Anthropic API, Pinecone, Ollama, Vector Stores, RAG Architecture, and advanced Prompt Engineering.
  • Throughout this role, I mastered enterprise LLM deployment patterns, advanced RAG architectures, and prompt engineering best practices, establishing robust frameworks for AI-powered document understanding and analysis.
LangChainOpenAI APIAnthropic ClaudePineconeollamaVector Store+3

Perficient latin america

MLOps Engineer

May 2022Present · 4 yrs 1 mo · Santiago, Santiago Metropolitan Region, Chile · Remote

  • Working as an expert consultant for PriceWaterhouseCoopers in the MLOps Team, I created and enhanced a low-code application deployment platform enabling PWC consultants to focus on delivering value through AI and data science proofs of concept.
  • I developed infrastructure automation templates using Terraform and optimized performance on serverless platforms including Kubernetes, Istio, and Knative. The solution included seamless integration of connections to Databricks, Azure Blob Storage, Git repositories, and other services in a plug-and-play manner, utilizing Python, FastAPI, Terraform, Kubernetes, Docker, Helm, and Azure Pipelines.
  • This implementation resulted in a 15% improvement in low-code application performance and reduced solution deployment times by 30%, significantly accelerating client deliverables. The project enhanced my expertise in building scalable, low-code platforms and optimizing consultant workflows through improved infrastructure.
Amazon Web Services (AWS)Amazon Relational Database Service (RDS)Prompt EngineeringOpenAI APILangChainAmazon S3+20

Walmart chile

2 roles

Machine Learning Engineer

Apr 2021Apr 2022 · 1 yr · Santiago, Santiago Metropolitan Region, Chile

  • In this role, I tackled the challenge of delivering ecosystem access to previously unavailable Machine Learning models for operational use. I successfully migrated queue and recommender models to scalable GCP Vertex Pipelines using Kubeflow and Docker, implemented Vertex model serving, and developed a customized audience generation solution with a Streamlit application.
  • The implementation leveraged Python, FastAPI, Airflow, Vertex Pipelines, Docker, GitOps, CI/CD, and monitoring tools (Grafana, Prometheus). This resulted in $4M attributed to recommender models, $1M in resource savings, and an estimated $3M for data product models under development.
  • Throughout this project, I strengthened my understanding of model lifecycle management and gained valuable experience in scaling ML solutions in production environments.
Amazon Relational Database Service (RDS)Amazon S3Unstructured DataUser BehaviorKubernetesDatabases+9

Expert Full Stack Developer

Dec 2020Apr 2021 · 4 mos · Santiago, Santiago Metropolitan Region, Chile

  • Full Stack Developer in the Search and Recommendation team. Powering better results for client solutions in the organization, and providing tools for business areas to improve the customer purchase experience in Walmart Chile and Walmart International eCommerce areas.
Amazon Relational Database Service (RDS)Amazon S3Unstructured DataUser BehaviorDatabasesMicrosoft Azure+2

Sovos

Sr Software Engineer

Apr 2018Dec 2020 · 2 yrs 8 mos · Santiago Province, Chile

  • Refactored core code to support multiple XML standards (UBL 2.0, UBL 2.1) for compliance with electronic invoicing standards in Peru and Colombia, ensuring robust cross-border compatibility.
  • Led feature development for Chilean electronic invoicing, including high-volume online invoice generation with automated validation, processing millions of documents daily for seamless tax authority compliance.
  • Built REST and SOAP integrations for B2B clients, enhancing system interoperability and delivering reliable, scalable solutions for diverse business needs.
  • Leveraged Java, JUnit, and PostgreSQL to create resilient, well-tested software, adhering to best practices in refactoring and unit testing to maximize maintainability and performance.
Java Enterprise EditionAmazon Relational Database Service (RDS)JavaUnstructured DataDatabasesUnit Testing+5

Everis

Solutions Specific Knowledge Analyst

Feb 2017Apr 2018 · 1 yr 2 mos · Santiago , Chile

  • Backend Developer for the Maintsuite platform, a joint venture of LATAM and IFS-MXI to develop a Line Planner Platform, that enables Airlines Maintenance to be leveraged to a Semi-Automated process, Simplifying Regular Maintenance tasks (Product URL at https://lineplanner.ifsworld.com/ ).
  • Practices: Scrum, Peer Programming, Jira, Confluence, Agile Artifacts (Burn Down, Kanban).
  • Backend: Java EE8 (Lambdas, Streams, Optionals), PostgreSql, Vert.x (Service Bus),REST, Reactive Programming Paradigm, SonarQube, Java Console, Microservices Paradigm.
  • FrontEnd: JavaScript (ES2015, Promises), AngularJS 1.5, Chrome Dev Tools, Postman.
  • Infrastructure: Amazon EC2, Docker, Amazon RDS, Shippable, BitBucket.
JavaUnstructured DataDatabasesMicrosoft AzureJenkinsAgile Methodologies

Experian

Senior Software Developer

Aug 2015Jan 2017 · 1 yr 5 mos · Santiago

  • Led the development and optimization of the Global Data Network (GDN) System, a high-impact platform enabling U.S., U.K., and European clients to efficiently load, maintain, and manage credit bureau information on a global scale.
  • Acted as a bilingual Senior Developer within the Credit Services - Global Product Delivery (CS-GPD) team, facilitating seamless collaboration across regions and ensuring the system met international regulatory standards.
  • Implemented key system enhancements that improved data reliability, accessibility, and performance for a user base of multinational clients.
  • Ensured comprehensive support for GDN operations, troubleshooting and resolving critical issues to maintain high availability and user satisfaction for credit data services.
JavaUnstructured DataDatabasesMicrosoft AzureJenkinsAgile Methodologies

Citi

App Developer Analyst

Nov 2012Jul 2015 · 2 yrs 8 mos · Santiago de Chile

  • Developed and maintained regulatory reporting applications for Citi's New York Regulatory Reporting Group, ensuring compliance with U.S. financial regulations and enhancing reporting accuracy.
  • Coordinated seamlessly with a multicultural team spanning New York, California, and India, facilitating cross-functional collaboration and delivering timely solutions across diverse time zones.
  • Enhanced application performance and reliability, contributing to streamlined regulatory processes and improved data integrity within Citi's reporting infrastructure.
  • Utilized bilingual communication skills to bridge technical and regulatory requirements effectively, supporting consistent project delivery in an international environment.
JavaUnstructured DataDatabasesMicrosoft AzureJenkinsAgile Methodologies

Vates s.a.

Desarrollador J2EE

Jul 2012Nov 2012 · 4 mos · Santiago, Chile · On-site

  • As a Software Developer in the CRM Migration project, I worked on transitioning from Siebel CRM to a custom-tailored solution "SICRET" for GTD Manquehue, a Chilean Internet Services Provider. I leveraged my expertise in J2EE technologies to ensure a smooth migration process while maintaining system functionality and data integrity.
JavaDatabasesJenkins

Servipag

Desarrollador J2EE

Mar 2011Jul 2012 · 1 yr 4 mos · Santiago, Chile

  • I served as a Software Developer working on Siebel Teller (Java 1.4) implementations for three different Banking Companies, following a strict cascade-based development methodology. Additionally, I developed the check exchange banking system for BCI Bank, implementing critical financial transaction functionalities and ensuring secure data processing.
JavaDatabasesJenkins

Netmarket

Software Developer

Sep 2010Mar 2011 · 6 mos · Santiago , Chile

  • In this role, I focused on building a comprehensive GPS tracking system for Netmarket SPA using open source tools. I developed and implemented tracking functionalities, ensuring reliable system performance and accurate location data processing.
JavaDatabasesJenkins

Position gps

Ingeniero Trainee

Aug 2009Jun 2010 · 10 mos · Santiago, Chile

  • As a Trainee engineer, I developed web applications for the GPS tracking system and maintained and optimized the database infrastructure. I designed configurations and code for IoT devices used on site, utilizing SQL Server 2000, MySQL 5, ASP, and PHP on the webserver. This early role provided hands-on experience in full-stack development and IoT device management.
JavaDatabasesJenkins

Education

Universidad de Santiago de Chile

Field Engineer on Computer and Information Sciences — Computer and Information Sciences

Jan 2016Jan 2018

Universidad de Santiago de Chile

Licentiate degree — Computer and Information Sciences

Jan 2000Jan 2009

Instituto comercial Particular Profesor Guillermo Gonzalez Heinrich Nº1 Providencia

Tecnico Programador de Aplicaciones Computacionales — Programación en Computación

Jan 1996Jan 2000

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