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Senior AI/ML Engineer with 11 years of software engineering experience across knowledge graph and semantic data platforms, backend systems, and production GenAI/LLM solutions. Experienced with ontology design, knowledge graph development (RDF/RDFS/OWL), semantic querying (SPARQL/Cypher), and regulated data modeling. Builds end-to-end RAG and semantic search pipelines on AWS and other LLM platforms, implements LLM guardrails and evaluation/grounding mechanisms, and translates product and compliance requirements into governed semantic models from design through production support.…Senior AI/ML Engineer with 11 years of software engineering experience across knowledge graph and semantic data platforms, backend systems, and production GenAI/LLM solutions. Experienced with ontology design, knowledge graph development (RDF/RDFS/OWL), semantic querying (SPARQL/Cypher), and regulated data modeling. Builds end-to-end RAG and semantic search pipelines on AWS and other LLM platforms, implements LLM guardrails and evaluation/grounding mechanisms, and translates product and compliance requirements into governed semantic models from design through production support.

Kristoffer Grady

AI Engineer, Software Engineer, Full Stack Developer, +2

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Senior AI/ML Engineer with 11 years of software engineering experience across knowledge graph and semantic data platforms, backend systems, and production GenAI/LLM solutions. Experienced with ontology design, knowledge graph development (RDF/RDFS/OWL), semantic querying (SPARQL/Cypher), and regulated data modeling. Builds end-to-end RAG and semantic search pipelines on AWS and other LLM platforms, implements LLM guardrails and evaluation/grounding mechanisms, and translates product and compliance requirements into governed semantic models from design through production support.…Senior AI/ML Engineer with 11 years of software engineering experience across knowledge graph and semantic data platforms, backend systems, and production GenAI/LLM solutions. Experienced with ontology design, knowledge graph development (RDF/RDFS/OWL), semantic querying (SPARQL/Cypher), and regulated data modeling. Builds end-to-end RAG and semantic search pipelines on AWS and other LLM platforms, implements LLM guardrails and evaluation/grounding mechanisms, and translates product and compliance requirements into governed semantic models from design through production support.

Available to hire

Senior AI/ML Engineer with 11 years of software engineering experience across knowledge graph and semantic data platforms, backend systems, and production GenAI/LLM solutions. Experienced with ontology design, knowledge graph development (RDF/RDFS/OWL), semantic querying (SPARQL/Cypher), and regulated data modeling.

Builds end-to-end RAG and semantic search pipelines on AWS and other LLM platforms, implements LLM guardrails and evaluation/grounding mechanisms, and translates product and compliance requirements into governed semantic models from design through production support.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Polish

Advanced

Work Experience

Senior AI/ML Engineer at Flywire

June 1, 2023 - June 1, 2026

Architected an AWS Bedrock document intelligence platform using Knowledge Bases, Lambda, API Gateway, and S3 with RAG, semantic search, and a curated document taxonomy to extract, classify, and validate 150,000+ documents monthly. Built end-to-end RAG pipelines with LangChain and LlamaIndex, benchmarking OpenSearch Serverless, Pinecone, and Faiss with evaluation loops and production guardrails. Designed and published a domain ontology in RDF/RDFS/OWL with SHACL validation and SPARQL endpoints using GraphDB and Stardog, enabling retrieval and validation against governed semantic definitions. Reduced document processing time by 75% using Python/FastAPI layers over Bedrock and multiple model providers. Built AI support assistants and internal full-stack Streamlit applications and orchestrated multi-step agents with LangGraph/DSPy and MCP integrations. Scaled GenAI microservices on Kubernetes/ECS with 250,000+ daily requests at ~800ms p95 and implemented verification/grounding and fallback

Machine Learning Engineer at Quantexa

December 1, 2019 - June 1, 2023

Developed supervised ML models for classification, regression, and time-series forecasting powering predictive analytics and risk modeling, improving accuracy by 10% over baselines using Scikit-learn and XGBoost. Built distributed feature engineering and training pipelines in PySpark on Databricks from Kafka streams processing 100M+ records daily, reducing preparation time by 60%. Developed knowledge graphs on Neo4j with entity-resolved customer/counterparty/transaction data and Cypher traversals to surface risk signals for downstream models. Productionized Python REST inference APIs handling 2M+ predictions/day with low latency. Implemented MLOps with MLflow and SageMaker including experiment tracking, model versioning, and CI/CD; reduced release cycles from 4 weeks to 3 days. Automated monitoring and drift detection across 50 models, improving time-to-detect from 7 days to 4 hours, and reduced training compute costs by 30%.

Python Developer at Lendable

July 1, 2015 - December 1, 2019

Delivered full-stack internal tooling and workflow automation using Django/Flask with Node.js and React/TypeScript front ends, supporting 500+ internal users. Streamlined ETL/ELT workflows and relational/NoSQL data access layers using SQLAlchemy and PostgreSQL/Oracle; owned data modeling and reference taxonomies, preparing 10M+ records per day for analytics and AI-ready processing with 99.5% reliability. Optimized SQL and PL/SQL queries by 70% through indexing and execution-plan analysis, and reduced API response times by 50% using Redis caching and performance profiling. Automated operations in Python on Linux, eliminating 15+ hours/week of manual work. Built and maintained Java/Kotlin test automation for device testing workflows with CI/CD integration and reporting to Jira via tools such as ReportPortal and QMetry.