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Build cloud-native backend systems and microservices that orchestrate a global fleet of robots, using Go, Kafka, and Kubernetes to enable real-time monitoring and control.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Build and own a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to power real-time fleet analytics and LLM-driven insights.
Design and implement Neo4j graph models for banking data, apply graph algorithms to detect fraud, and build real-time investigation dashboards for AML teams.
Builds and optimizes Go-based microservices and a Neo4j knowledge graph to power a legal reasoning engine, ensuring 2s p95 latency for Singapore’s statutory data pipeline.
Build a streaming-first data platform for autonomous cleaning robots, designing medallion architecture and semantic layers to turn real-time telemetry into trusted fleet KPIs.
Builds and scales an AI-driven platform that ingests enterprise data, maps workflows, and automates complex processes using Python, JavaScript, and cloud-native tools.
Build and optimize graph-based knowledge structures using Neo4j to power an AI-driven retrieval system for a live product.
Designs graph data models and builds Neo4j-based knowledge graph pipelines for an AI project’s data infrastructure in Zürich.
Build and scale a cloud security platform using Python, distributed systems, and data-intensive tools like Neo4j and ElasticSearch across AWS, GCP, and Azure.
Build knowledge-graph and AI-driven analytics to detect fraud and risk patterns using Python, LLMs, and graph reasoning.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Build and optimize AI/ML pipelines and real-time data systems for blockchain intelligence, enabling faster threat detection and insights for crypto businesses and governments.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Build and maintain data pipelines, ETL workflows, and RAG systems to power AI-driven analytics and LLM applications using Spark, Python, and cloud platforms.
Build and deploy AI-powered coding agents and agentic frameworks using Python, TypeScript, and React; own cloud deployments, CI/CD, and quality assurance for AI-generated code.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Full Stack Developer building cloud-based product data management apps with Python, React, AWS, and Neo4j in Helsinki.
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