Software engineer specializing in Data Infrastructure, Machine Learning, and Backend Systems. Proven track record in building scalable distributed pipelines, deploying ML models to production, and leading technical initiatives in fast-paced startup environments. Passionate about using data and AI to drive business growth, with deep experience across cloud platforms, DevOps, and modern AI tooling.
Python
AWS
Elixir
Javascript
Scala
PHP
➔ Joined at Series A and contributed to the company’s growth to Series B+
➔ ML models integration and embeddings processing of social media and news articles for numerous visualizations and analytics such as Compass (in-house context checker) offered via MCP.
➔ Deployed text classification models (e.g., BERT, FastText) powering dashboards for enterprise clients across Fortune 500 and government.
➔ Established a graph visualization pipeline for social media relations involving S3, Athena, and Databricks on the backend and Graphistry on the frontend.
➔ Developed LLM pipeline for narrative classification and feed generation using updated context via RAG.
➔ Migrated the main data pipeline from Argo Workflows to Databricks/Spark, resulting in 6x performance gains
➔ Deployed infrastructure for a machine learning pipeline for detecting soldering defects in manufacture images using AWS and Terraform.
➔ Developed analysis notebooks in JupyterHub and RStudio for the SPACE project, the most important statistical platform in the eurozone for automating statistical validations (models such as outliers, consistency checks, among others)
➔ Played a pivotal role in the Audience builder project, processing ~1M requests/second using Apache Spark.
➔ Built a custom AST-based query parser in Elixir for backend processing.
➔ Led over 20 partner integrations for automated marketing campaigns based on previously generated audiences.
➔ Facilitated team growth by onboarding and mentoring six developers ranging from junior to lead level.
➔ Designed a GPS data processing pipeline for football player performance analytics using Python, Elixir, and AWS.
Developed APIs for trucker management and freight tracking using Elixir, PHP , and JavaScript on AWS.
⇢ Ericsson’s BSCS Billing/Rating Platform analysis, configuration and development of complex business rules for scenarios of millions of post-paid customers.
⇢ Delivery of batch jobs and reports using Java EE, Oracle PL/SQL and Shell Script, for the user areas to have the clearest vision or to meet government requirements.
⇢ Contributed with functional definition, test planning and business rules validation of Billing Platform Upgrade from BSCS 6 to BSCS iX.