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Designs enterprise API and SOA architectures, sets standards, and leads integration roadmaps to modernize large-scale systems using REST, SOAP, microservices, and cloud-native tech.
Senior full-stack developer building web and mobile apps, APIs, and complex IT architectures with AI-assisted coding and DevSecOps practices.
Builds full-stack web and mobile apps using modern JS frameworks (React, Angular, Node.js), Azure DevOps, Docker/Kubernetes, and NoSQL databases for a consulting firm improving corporate wellness.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Builds and maintains AI-powered data pipelines and semantic layers for a banking-focused tech platform, integrating structured and unstructured data with LLMs and graph databases.
Design and build graph data pipelines and models using Neo4j, integrating real-time data flows and ETL/ELT processes for business needs.
Design and scale graph-based data infrastructure for a knowledge graph platform, building pipelines and modeling RDF graphs with tools like Neo4j or Amazon Neptune.
Designs scalable data pipelines and AI retrieval systems using Python, GraphRAG, and knowledge graphs like Neo4j for a remote-first AI product team.
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Design and build graph data models and ETL pipelines for a Metalake platform, using Neo4j, Cypher, and Graph ML to power organizational intelligence.
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Lead the design and maintenance of a secure, scalable data platform using C#, Python, Azure, PostgreSQL, and Neo4j to power risk assessment and fraud detection for fintech products.
Principal AI engineer at a fast-growing credit-risk startup; designs agentic AI products, builds data pipelines with LLMs, and owns product strategy and equity.
Senior full-stack developer building data-driven research platforms and APIs for an academic institution, using Python, JavaScript, and modern data tools.
Build the core AI system that predicts reuse value of building components, migrating a Python/Streamlit prototype to robust, deployable code with graph data and GNNs.
Build and operate geospatial analytics backend services in Python, integrating Neo4j and Databricks to process maritime data and deliver production-grade APIs and microservices.
Design and maintain a semantic data hub that unifies corporate data with AI systems using GraphDB/Neo4j, RDF/OWL/SPARQL, and GraphQL in a Kubernetes-based DevOps environment.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Senior Java & Data Engineer builds scalable financial applications and data pipelines using Java, Oracle, and graph databases for capital markets.
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
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