REVIEW BRIEF

Palantir Platform Proficiency

Doeon Kim — Demonstrated capabilities across data integration, ontology design, and operational AI

Foundry-Aligned Projects

Portfolio projects that mirror Palantir Foundry's core capabilities: data integration, ontology modeling, and decision support.

Project	Foundry Parallel
Nexus-Hive (NL-to-SQL)	Ontology-like data abstraction, governed query layer
Lakehouse Contract Lab	Data pipelines with lineage, contracts, quality checks
enterprise-llm-adoption-kit	AIP-style governance: RBAC, evals, PII redaction
AegisOps	Operational decision support with multimodal analysis
DistrictPilot AI	Decision agent: forecast + analysis + simulation

Multi-source pipelines — Spark, Delta Lake, Snowflake, Databricks with schema enforcement and data contracts.
Governed analytics — RBAC, PII redaction, audit logging, and eval frameworks across all AI workloads.
Ontology thinking — Semantic models, data abstraction layers, and governed query interfaces in Nexus-Hive.
Lineage & quality — Column-level lineage tracking, data quality metrics, and contract versioning.

Category	Skills
Data Integration	Multi-source pipelines, schema enforcement, incremental sync
Ontology Design	Entity modeling, relationship mapping, semantic abstraction
AI/ML	LLM agents, tool-calling, fine-tuning, multimodal analysis
Governance	RBAC, PII handling, audit trails, data contracts
Decision Support	Forecasting, simulation, budget allocation, operational dashboards

Palantir Foundry Data Engineer — Validated expertise in Foundry data pipelines, transforms, and ontology design.

Palantir Foundry Foundations — Validated understanding of Foundry platform architecture and core concepts.