I am a Senior Software Engineer with 10+ years of experience building and deploying scalable machine learning and LLM-powered systems. I specialize in RAG architectures, knowledge graphs, semantic search, and cloud-native solutions across AWS and Azure. My work spans production-grade graph databases, AI copilots, end-to-end data ingestion and embedding pipelines, and multi-tenant architectures. I’ve led initiatives from data ingestion and retrieval to intelligent tooling for enterprise contexts, delivering measurable improvements in performance, reliability, and user experience.

Matthew Fernandez

I am a Senior Software Engineer with 10+ years of experience building and deploying scalable machine learning and LLM-powered systems. I specialize in RAG architectures, knowledge graphs, semantic search, and cloud-native solutions across AWS and Azure. My work spans production-grade graph databases, AI copilots, end-to-end data ingestion and embedding pipelines, and multi-tenant architectures. I’ve led initiatives from data ingestion and retrieval to intelligent tooling for enterprise contexts, delivering measurable improvements in performance, reliability, and user experience.

Available to hire

I am a Senior Software Engineer with 10+ years of experience building and deploying scalable machine learning and LLM-powered systems. I specialize in RAG architectures, knowledge graphs, semantic search, and cloud-native solutions across AWS and Azure.

My work spans production-grade graph databases, AI copilots, end-to-end data ingestion and embedding pipelines, and multi-tenant architectures. I’ve led initiatives from data ingestion and retrieval to intelligent tooling for enterprise contexts, delivering measurable improvements in performance, reliability, and user experience.

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Experience Level

Expert
Expert
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Expert
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Expert
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Expert
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Expert
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Language

Aragonese
Advanced
Javanese
Advanced
English
Fluent

Work Experience

Senior Software Engineer at Palantir Technologies
April 1, 2013 - June 1, 2026
Architected and deployed a production-ready multi-tenant Knowledge Graph REST API using Python, FastAPI, and Neo4j to manage complex asset hierarchies and performance KPIs for enterprise customers. Implemented RBAC and tenant isolation, background data import, and OpenAPI documentation, delivering the core data layer for asset management and analytics within a microservices environment. Developed advanced graph operations, including multi-graph traversal, BM25 full-text search with relevancy scoring, similarity edge detection, and KPI hierarchy modeling, enabling cross-context exploration of assets and performance data. Built AI-powered pipelines for video analytics, enabling concurrent processing of 20+ videos via serverless GPU infrastructure, and delivered AI-driven financial data intelligence with real-time analytics and cost reductions. Orchestrated LLM-based AI copilots with Azure OpenAI, routing queries to specialized function studios for data analysis, forecasting, and semantic
Software Engineer at Blackbird Technologies
July 1, 2008 - April 1, 2013
Built HIPAA-compliant APIs and backend services, implemented PostgreSQL to Elasticsearch synchronization to accelerate full-text search, and upgraded Socket.IO to handle real-time communications, boosting reliability and user satisfaction. Created scalable REST APIs and dashboards for real-time robot fleet status, and developed event-driven microservices for robot telemetry using Kafka and AWS Kinesis, enabling monitoring of 100K+ robots across multiple fulfillment centers. Built internal simulation tools for robot traffic and throughput analysis to accelerate debugging and validation.

Education

Bachelor of Science, Computer Science at The Johns Hopkins University
January 1, 2004 - January 1, 2008
Bachelor of Science, Computer Science at The Johns Hopkins University
January 1, 2004 - January 1, 2008
Bachelor of Science at The Johns Hopkins University
January 1, 2004 - January 1, 2008

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Healthcare, Government