Recruiter Packet
Role fit, stack, resume, and submission-safe proof links in one place.
View recruiter packet →Nkosi Felix
Governed ingestion, streaming data, and AI-safe evidence systems.
Azure · Kafka · Python · SQL · Microsoft Graph · SharePoint · PostgreSQL · GitLab CI/CD
U.S. citizen · No sponsorship required · Orlando, FL / Remote · Immediate availability
Role fit, stack, resume, and submission-safe proof links in one place.
View recruiter packet →Architecture, validation, failure modes, tests, and evidence-backed answers.
View manager proof →Small governed data workflows that turn messy inputs into reviewable outputs.
View use-case labs →This portfolio is built like an evidence system, not a brochure. Public claims route through a versioned evidence ledger, generated manifest, policy checks, and unsupported-claim rejection.
That is the same engineering pattern shown in the labs: validate inputs, preserve provenance, route exceptions, expose boundaries, and keep automation reviewable.
Earlier roles: Senior Cloud Solutions Architect at Accenture (Microsoft Advanced Azure Engagement) and Senior Data Analyst / Data Engineer at Flexport.
Small data engineering applications that show how messy signals become governed decisions. Synthetic or public data only.
Synthetic care-event intake: schema validation, quarantine routing, review packets.
View lab →Synthetic grid/meter telemetry: timestamp validation, drift detection, degraded-data handling.
View lab →Synthetic field change requests: document intake, duplicate detection, owner-approval boundary.
View lab →How this site's own chat rejects unsupported claims before you ever see them.
View lab →The same principles that govern the labs and this site's own chat assistant.
Personal, clean-room reference implementations — synthetic data only, no confidential employer code.
Deterministic, infrastructure-free Java 17 validation harness for XMPP-sourced message ingestion.
View repo →Idempotent Kafka-to-PostgreSQL ingest pipeline with Grafana/Prometheus/Loki observability.
View repo →Clean-room D2C commerce lakehouse using Python and DuckDB with synthetic, seedable order data. No real customer or payment data.
View repo →Clean-room FastAPI service scoring resume/job-description overlap with a transparent rationale. No private tracker data.
View repo →Public, no-login signal adapters: bounded inputs, caching, privacy limits, safe degradation.
Ask one of these — every answer includes sources and a metadata strip (evidence gate, safety gate, confidence).
Unsupported-claim example — “Did Nkosi lead a Fortune 100 production AI rollout?”
Safe rejection: no grounded public evidence supports that claim; the assistant answers about documented governed ingestion, Graph/SharePoint, Kafka/PostgreSQL, and portfolio labs instead.
Evidence gate: rejected · reason: unsupported public evidence