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Matthew Fernandez

@matthewfernandez

I build scalable machine-learning and LLM-powered platforms—RAG, knowledge graphs, and semantic search—across AWS and Azure.

United States

Message

What I'm looking for

I’m looking for a role where I can build production-grade LLM and machine-learning platforms—RAG, knowledge graphs, and semantic search—on cloud-native infrastructure, with strong reliability/observability and room to mentor and lead architecture decisions.

I’m a Senior Software Engineer with 10+ years of experience building and deploying scalable machine learning and LLM-powered systems, specializing in RAG architectures, knowledge graphs, semantic search, and cloud-native solutions across AWS and Azure. At Palantir, I developed a production-ready multi-tenant Knowledge Graph REST API using Python, FastAPI, and Neo4J to power enterprise asset hierarchies and performance KPIs.

I design systems that are both measurable and reliable—adding tenant isolation, RBAC, background job processing, and OpenAPI documentation to create a solid core data layer in microservices. I also build AI-driven pipelines and applications, including Databricks video analytics that reduced 26-minute videos to 2-minute clips, and LLM-based copilots that integrate Azure OpenAI models with intelligent query routing and semantic retrieval.

I focus heavily on scale, observability, and operational excellence. I’ve implemented petabyte-scale streaming ingestion at sustained 12GB/s throughput, built LangGraph/LangChain RAG systems (Milvus + local Ollama), and delivered monitoring and alerting with Prometheus and Grafana to achieve a 99.99% uptime SLA for production inference endpoints. I enjoy mentoring engineers and leading architecture reviews to align technical decisions with user experience, performance, and reliability goals.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Palantir Technologies

Apr 2013 - Jun 2026 (13 years 2 months)

Developed and architected production multi-tenant knowledge graph and AI-powered systems, including a Neo4j-based knowledge graph REST API, semantic retrieval/RAG pipelines, and AI copilots for industrial asset monitoring. Built scalable streaming, video analytics, forecasting, monitoring/alerting, and geospatial search applications across AWS/Azure and Databricks.

Software Engineer

Blackbird Technologies

Jul 2008 - Apr 2013 (4 years 9 months)

Built secure, regulation-compliant backend services and APIs for healthcare and real-time robot fleet operations. Implemented data synchronization and search performance improvements using PostgreSQL/Elasticsearch, and developed event-driven microservices for telemetry ingestion using Kafka and AWS Kinesis.