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Builds and optimizes Java-based financial applications and data pipelines for capital markets, using Oracle and graph databases.
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Builds React-based UIs that visualize complex financial ownership networks using Node.js backends and graph databases.
Build and expand a financial platform using Java, Spring Boot, and React; collaborate with a global team to deliver scalable solutions.
Lead Java developer building reactive Spring Boot microservices with PostgreSQL, MongoDB/Cassandra, Kafka, and Kubernetes/Docker for scalable backend systems.
Builds backend services for a global e-commerce platform using Java/Kotlin and Spring, integrating AI agents and modern data stores to streamline product search and pricing.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Build and maintain scalable ETL/ELT pipelines and data warehouses to track USDC movement across blockchains, enabling analytics on holdings, use cases, and growth opportunities.
Build data pipelines and a knowledge graph to unify messy engineering data (BIM, PDFs, spreadsheets) into a queryable system for AEC firms.
Build and deploy multi-step AI agents using Python, LangChain/LangGraph/ADK, and GCP’s Vertex AI suite for text/code generation and tool use.
Lead a Python team building and optimizing automated data pipelines for OpenText’s Software Composition Analysis product, leveraging AI/ML to enhance open-source risk management and security analysis.
Senior Software Engineer at Walmart de México y Centroamérica leading scalable Java/Spring Boot systems, mentoring teams, and solving complex technical challenges for millions of users.
Senior Software Engineer maintaining a Neo4j-based knowledge graph for drug discovery and gene biology data, integrating heterogeneous biomedical sources and ensuring data quality for AI use cases.
Build and maintain a biomedical knowledge graph in Neo4j, integrating drug-discovery and gene-biology data sources with Python pipelines to ensure data quality and traceability.
Lead a small engineering team building an AI-powered procurement platform for construction, coding in Python, designing microservices, and integrating supplier networks.
Build and secure a cloud-native runtime intelligence platform for enterprises, working across AWS, GCP, Azure with Go, Kubernetes, and distributed databases.
Senior Data Engineer at Bureau to design and own the cloud data lake and streaming pipelines that power real-time fraud detection and identity intelligence products using AWS, Spark, Airflow, and graph databases.
Build and maintain scalable back-end services in Python/Go for fraud-prevention and compliance analytics, using distributed architectures, APIs, and cloud infrastructure.
Build AI agents and MCP servers that let LLMs autonomously use internal financial data; optimize GPU/CPU and storage for high-performance AI workloads; and implement end-to-end MLOps pipelines with RAG over knowledge graphs.
Builds and maintains quantitative models for securities data using Python, Spark, and ML; automates pipelines and delivers financial dashboards.
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