Professional Overview
Creative, earnest and analytical data/backend engineer moving into AI automation, with strong Python, DevOps/CI/CD and hands-on Zapier & n8n experience. I enjoy solving complex problems with simple solutions, learning fast and team collaboration. Looking forward to find the best client fit for my skills and develop a strong AI consulting career.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build & deploy a platform to track (with CBIR) stray cats after TNR campaigns
- Automate workflow on WhatsApp (BSP) to filter and record caregivers reports
- Benchmark Avivotech/MegaDescriptor/MeowID models with CatFLW and owned datasets
- Wire Vite/React WebApp with n8n flows and deploy with Terraform / Docker scripts
Key Achievements / KPIs
- Specification and analysis with stakeholders from Animais de Rua Association
- Workflow development, data/picture processing and model retraining in progress
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build & deploy customer data provisioning platform for Loyalty 360 Vision on AWS
- Web Service development (Spring / ReactJs), CI/ CD & Production Management
- Design and deploy a data streaming architecture (Kafka / Talend / CassandraDB)
- QA, integration, capacity and automation tests (JUnit, JMeter, Playwright)
- Data queryng and supervision layer (ELK / Solr, Dynatrace/OpenTelemetry)
Key Achievements / KPIs
- Effectively built an automated web service deployment workflow with Scrum method
- Enable Loyalty BU to query mirrored customer data on scalable real time workflow
- Provided repeatable (CMMI level 3) and measurable data integration processes
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build, deploy & orchestrate production-level workflows for interbank data layer
- Datalake development (Hadoop, Scala/Spark SQL, Cloudera VM) from mainframe files
- Prototyping platform setup for Data Science lab (Jupyter, QlickView)
- Cluster performance monitoring, AI scripts + process optimization for production
- Data streaming architecture design&development (Cassandra/ Datastax 5.2, Kafka)
Key Achievements / KPIs
- Achieved production grade orchestration of daily data jobs to feed datalayer app
- Direct and secure access to production data for data scientists flow prototyping
- Enhanced cross business unit collaboration with the data engineering team
Education
Field of Study: Web & Mobile Development
Field of Study: Specialization in Medical Imaging and Multimedia Networks
Field of Study: Electronics, Industrial Automation
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.