Ufong Wong

• Designed and developed enterprise SaaS and AI platforms using Python, Django, FastAPI, React, Next.js, TypeScript, PostgreSQL, Redis, and Azure across frontend, backend, API, data, and cloud layers.
• Architected secure backend services and REST APIs supporting authentication, enterprise workflows, document processing, and AI-powered functionality.
• Integrated the OpenAI API into production workflows for summarization, classification, entity extraction, document comparison, and AI-assisted response generation using structured outputs and application-level validation.
• Built enterprise RAG systems using PostgreSQL/pgvector for vector search, with document ingestion, metadata-aware retrieval, contextual grounding, and response validation.
• Developed an AI knowledge assistant indexing 80,000+ internal documents and serving 1,500+ users, reducing repeated support requests by 35% compared with the previous support baseline.
• Improved RAG and LLM reliability through curated evaluation datasets, retrieval-relevance testing, groundedness evaluation, structured-output validation, prompt versioning, regression testing, and failure analysis across releases.
• Strengthened LLM security through document-level authorization, trusted/untrusted context separation, input/output validation, and restricted tool permissions.
• Designed asynchronous and durable workflows using Celery, Temporal, Apache Airflow, and Azure Durable Functions for background jobs, multi-step processes, scheduled data pipelines, and long-running cloud workflows, with idempotency and failure recovery built into critical operations.
• Improved p95 API latency by 40%+ through database indexing, Redis caching, query optimization, backend refactoring, and response-path improvements.
• Provided technical leadership for a cross-functional team of 7 engineers, contributing to architecture decisions, technical reviews, mentoring, engineering standards, delivery quality, and production readiness.
• Improved deployment and operational reliability using Docker, Kubernetes, GitHub Actions, Azure CI/CD, structured logging, monitoring, and observability.

• Developed and modernized enterprise applications across frontend interfaces, backend services, APIs, databases, authentication, and business workflows.
• Built backend services using Python and Django and reusable frontend applications using React, Next.js, and TypeScript.
• Integrated automated document classification and structured data extraction into user-facing workflows through secure backend APIs, allowing users to review, validate, and act on generated results.
• Designed REST and GraphQL APIs supporting reporting, approval workflows, account management, and customer portal functionality.
• Delivered full-stack features covering frontend implementation, API integration, authentication, data handling, automated testing, and production support.
• Improved application performance through SQL optimization, database indexing, Redis caching, asynchronous processing, and service-layer refactoring.
• Implemented authentication and authorization using JWT, OAuth, RBAC, session controls, input validation, and permission-based access.
• Built Celery-based background-processing workflows for asynchronous jobs, scheduled operations, retries, and workloads unsuitable for synchronous request-response execution.
• Improved reliability and maintainability through automated testing, debugging, code reviews, technical documentation, architecture reviews, and production-readiness practices.
• Mentored engineers through code reviews, architecture discussions, and shared development standards.

• Developed customer-facing web applications, internal platforms, analytics tools, and business automation solutions.
• Built backend applications and REST APIs using Python and Django to support business logic, data-processing workflows, and enterprise application functionality.
• Integrated speech-processing and conversation-analysis services into customer-facing applications through backend APIs, enabling transcription-driven workflows, analytics, and automated follow-up actions.
• Developed responsive frontend applications using React, Vue.js, TypeScript, JavaScript, HTML5, and CSS3.
• Integrated frontend applications with authentication services, REST APIs, backend systems, and data-processing workflows.
• Worked with PostgreSQL, MySQL, and MongoDB for application data storage and supported schema design, indexing, query optimization, and data-access patterns.
• Created reusable frontend components and shared application patterns to improve consistency and maintainability.
• Supported production applications through debugging, performance optimization, monitoring, security improvements, and ongoing maintenance.
• Contributed throughout requirements analysis, implementation, testing, deployment, production support, and continuous product improvement.