RECRUITER-SPECIFIC PORTFOLIO VIEW
AI Platform ArchitectureBuild-to-ship AI platforms connecting models, data, APIs, evaluation, observability, and governed operations.
This view emphasizes full-stack AI platform architecture, backend product engineering, RAG and evaluation infrastructure, cloud delivery, and production-readiness controls.
SELECTED PROOF
6 systems selected from the curated engineering catalog.
Full-stack AI operations platform connecting telemetry, policy, AI investigation, human approval, and evidence replay.
A governed operations platform for regulated environments with a Go operational API, Python AI investigation service, Next.js workspace, OPA policy correlation, audit records, and human-in-the-loop decisions.
Deterministic evaluation, RAG quality, safety red-team testing, regression gates, and fail-closed release evidence.
A production-style Python evaluation platform with provider abstraction, JSONL datasets, prompt boundaries, model comparison, RAG metrics, safety checks, experiment tracking, model aliases, CI gates, and a public release dashboard.
A real backend product moving from job ingestion to explainable, persisted, personalized career recommendations.
An enterprise-style FastAPI platform with PostgreSQL, SQLAlchemy, Alembic, Redis, Docker, company and job services, deterministic scoring, career-profile APIs, personalized matching, persisted evidence, seed data, and smoke tests.
A clinician-controlled AWS healthcare workflow for telehealth intake, transcription, structured chart drafting, approval, and auditability.
A HIPAA-aligned architecture and active build for behavioral-health intake and clinical documentation, combining secure portals, video consultation, medical transcription, speaker separation, structured AI chart drafts, clinician review, encrypted PHI, access controls, audit logging, and EHR/FHIR integration patterns.
Live healthcare RAG and agent evaluation with evidence export, integrity verification, and tamper detection.
A split-deployed healthcare governance demo evaluating groundedness, relevance, citation quality, hallucination risk, policy compliance, and reviewer approval using synthetic scenarios.
Founder-MVP-to-production architecture spanning Bedrock, serverless delivery, security, cost controls, and scale paths.
An AWS Startup Solutions Architect-style lab that maps customer outcomes to pragmatic service choices, production hardening, and a staged SaaS and GenAI roadmap.
NEXT STEP
I can walk through the implementation choices, tradeoffs, evidence, boundaries, and production-hardening path behind these systems.