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Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
Anaheim, CaliforniaAI Engineer2 years experienceJuniorArtificial IntelligenceTechnologySaaS
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About
Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.
Experience
AI EngineerReach Brands
Undergraduate Research AssistantSchool of Technology & Computing
Software EngineerUnderdog Devs
Education
City University of Seattlebachelor, Applied Computer Science (2026)
FPT University, Funix Programbachelor, Applied Computer Science (2024)
Key Strengths
- Designed and evolved a multi-tenant SaaS backend with strong tenant data isolation
- Pragmatic architecture: modular monolith with clear domain boundaries and seams for future service extraction
- Security-first API design (JWT/OIDC, RBAC/ABAC, centralized authorization enforcement)
- Led SQLite-to-PostgreSQL migration with staged dry-runs, verification, and rollback planning
- Reliability engineering: idempotent ingestion via unique constraints/upserts/transactions to prevent duplicate metrics and alert noise
- Performance/scalability fundamentals: indexing, pagination/filtering, avoiding N+1 queries, vertical scaling + multi-worker deployment
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