Senior Software Engineer
Software Engineer
Available for hire
Years of
experience
12+ years
Experience
level
Senior
Available
for
Full-time, Part-time, Contract, Freelance, Internship
Senior Software Engineer with 10+ years building production-grade AI systems, low-latency backend APIs, and high-traffic fullstack applications across distributed environments. Delivered an AI risk decisioning platform serving sub-100ms decisions, scaled Docker Hub backend services to millions of daily container operations, shipped Octopus Deploy automation APIs used by thousands of engineering teams globally, and built secure UnionBank Online digital banking systems handling high-volume financial transactions. Proven record across LLM/RAG pipelines, event-driven microservices at 10K+ events/sec, and React/Next.js dashboards with real-time streaming UIs.
Skills
JavaScript
CSS
TypeScript
React.js
Next.js
React Native
NestJS
Vue.js
TensorFlow
Node.js
Express.js
Tailwind CSS
SQL
Redis
Kafka
Elasticsearch
Web sockets
Playwright
Docker
AWS
Azure
Vercel
Angular.js
GitLab
Redux.js
NoSQL
Kubernetes
Jest
Jenkins
MERN stack
MEAN stack
MongoDB
PostgreSQL
MySQL
Firebase
Dynamodb
RabbitMQ
EKS
Cloudflare
Git
GitHub
CI/CD
Machine Learning
Stripe
Payment gateways
E-commerce
Flutter
HTML
Python
Java
PHP
MS SQL Server
Neo4J
WordPress
Flask
Spring Boot
Django
FastAPI
Scikit
Apache Kafka
PyTorch
Languages
Employment History
Senior Software Engineer at
Oscilar
2023
-
2026
AI Risk Decisioning Platform — real-time fraud, credit, and identity decisioning powered by LLMs, ML models, and rules orchestration for fintech and banking customers.
AI / LLM Engineering
• Owned end-to-end design of the LLM-powered risk decisioning engine, combining RAG, embeddings, and rules orchestration to deliver sub-100ms AI-assisted fraud and credit decisions in production.
• Engineered hybrid retrieval (BM25 + dense vector embeddings) with cross-encoder reranking over policy documents, transaction history, and customer profiles, improving decision relevance by 40% measured via RAGAS.
• Built LLM-driven case investigation workflows that automate fraud analyst tasks (entity resolution, narrative generation, evidence gathering) previously taking 30+ minutes per case down to under 2 minutes.
• Implemented semantic chunking and context optimization on policy and transaction corpora, reducing LLM token usage by 35% while maintaining 95%+ decision accuracy.
• Deployed quantized LLM inference using vLLM and Triton Inference Server, cutting GPU costs by 60% while serving 1K+ decisions/sec at p99 latency under 200ms.
• Designed multi-agent LangChain workflows with stateful memory and tool use for risk reasoning, calling internal services for KYC checks, device fingerprints, and behavioral signals.
• Built LLM evaluation pipelines with hallucination detection, groundedness scoring, and prompt versioning across 50K+ daily decisions, integrated into CI for prompt regressions.
• Implemented function calling and structured outputs with OpenAI and Anthropic Claude APIs to produce deterministic decision schemas consumable by downstream rules engines.
• Productionized PyTorch, XGBoost, and scikit-learn models for fraud scoring with MLflow versioning and A/B testing of 10+ model variants with automated rollback.
• Built real-time feature engineering pipelines on Redis Streams delivering sub-second feature freshness for ML inputs across velocity, geo, and device features.
Backend & Distributed Systems
• Architected event-driven decisioning microservices on Kafka with CQRS and exactly-once delivery, processing 10K+ risk events/sec with 99.9%+ uptime.
• Built low-latency decision APIs using FastAPI, Spring Boot, and Node.js, powering customer-facing risk endpoints integrated by fintech partners.
• Implemented circuit breakers and bulkhead isolation across model-serving and rules services, reducing cascading failures by 85% during dependency outages.
• Optimized PostgreSQL queries and Redis caching for case data and feature lookups, reducing retrieval latency from 250ms to 150ms with read replicas and connection pooling.
• Designed gRPC-based internal service mesh between rules engine, model server, and feature store with OpenTelemetry distributed tracing across the decision path.
Frontend & Real-Time UI
• Built React + Next.js analyst console with TypeScript and WebSocket streaming, rendering live decision streams and 10K+ alerts per minute with sub-50ms UI updates.
• Reduced Largest Contentful Paint from 3.2s to 1.1s and improved Lighthouse score from 62 to 94 through code splitting, SSR/ISR, and image optimization on the case review dashboard.
• Engineered virtualized data tables (TanStack Table) rendering 100K+ transactions at smooth 60fps for analyst review of high-volume fraud cases.
• Built reusable component library with Storybook covering 80+ UI primitives shared across analyst, admin, and customer-facing applications, on shadcn/ui and Radix.
• Achieved 90%+ frontend test coverage using Jest, React Testing Library, and Playwright E2E tests integrated into CI.
• Implemented WCAG 2.1 AA accessibility across analyst dashboards with screen reader support and keyboard navigation.
Platform & DevOps
• Deployed multi-region AWS infrastructure on EKS with Helm and ArgoCD, sustaining 99.9%+ availability for customer decision traffic.
• Built CI/CD pipelines reducing deployment cycle from ~30 minutes to under 10 minutes per release, with canary rollouts and automated rollback on SLO breaches.
Full Stack Developer at
Docker
2020
-
2022
Docker Hub — the world's largest container registry, serving billions of pulls and millions of repositories for developers and enterprises.
• Built high-performance REST APIs in Python and Node.js for Docker Hub registry operations (image push/pull, tag management, repository metadata) handling millions of daily requests with sub-200ms p99 latency.
• Reduced API response latency from 200ms to 120ms on critical registry endpoints through query optimization, multi-tier caching, and connection pool tuning.
• Designed event-driven pipelines on Kafka for image scanning, vulnerability indexing, and tag propagation across globally distributed registry replicas.
• Built React-based Docker Hub UI features (repository pages, organization settings, automated build dashboards) improving load times and responsiveness for millions of authenticated users.
• Integrated AWS S3 and CloudFront as the storage and CDN layer for container image layers, supporting petabyte-scale distributed storage across multiple regions.
• Optimized PostgreSQL queries and Redis caching for repository search and metadata lookups, reducing database load by 45% during peak traffic.
• Operated containerized environments on Docker and Kubernetes (eating our own dog food), ensuring consistent deployments across dev, staging, and production.
• Built testing frameworks using PyTest and Jest, improving release reliability and reducing production incidents on the registry by 35%.
• Contributed to backend tooling and automation workflows supporting millions of container operations daily across Docker Hub and Docker Desktop integrations.
Mid-Level Web Developer at
Octopus Deploy
2018
-
2020
Octopus Deploy — release orchestration and deployment automation platform used by thousands of engineering teams worldwide for repeatable, secure software delivery.
• Developed REST APIs in Java Spring Boot and Node.js powering Octopus deployment orchestration, release management, and runbook automation workflows.
• Improved Octopus API performance, reducing latency from 100ms to 40ms on hot endpoints (project, release, deployment) through query optimization and efficient handler design.
• Contributed to the migration from a monolith toward microservices, improving system scalability and enabling independent deployment of orchestration components.
• Implemented secure mTLS communication between the Octopus Server and remote Tentacle deployment agents, ensuring reliable workflow execution across customer environments.
• Supported CI/CD integrations (Jenkins, GitHub Actions, Azure DevOps) automating deployment triggers and improving release consistency for enterprise customers.
• Collaborated with frontend teams improving usability and responsiveness of the Octopus deployment dashboards used by internal teams and external customers managing thousands of deployments.
• Maintained backend reliability through monitoring and integration testing, ensuring stable performance for customers running deployments across hybrid and multi-cloud environments.
Full Stack Developer at
White Cloak Technologies
2015
-
2017
UnionBank Online — flagship digital banking platform for UnionBank of the Philippines, serving millions of retail and SME customers with payments, transfers, and account management.
• Built secure REST APIs for UnionBank Online supporting fund transfers, bill payments, account management, and statement workflows with strong transactional consistency.
• Designed microservices architecture for the digital banking core, improving scalability and enabling independent deployment of payment, account, and notification services.
• Implemented OAuth 2.0 and multi-factor authentication for customer login, ensuring compliance with BSP and PCI-DSS financial security standards.
• Supported AWS infrastructure ensuring high availability and fault tolerance for banking systems handling high-volume retail transactions during peak periods.
• Improved backend performance and stability under real-world transaction loads through query optimization, caching, and efficient resource utilization.
• Collaborated with frontend teams delivering customer-facing UnionBank Online web and mobile-web experiences supporting high-volume daily financial transactions.
Web Developer at
Startechup Inc.
2013
-
2015
E-commerce platforms — fullstack delivery for startup clients building online storefronts, marketplaces, and order management systems.
• Delivered fullstack e-commerce applications using Python and PHP (WordPress / WooCommerce), integrating storefront UIs with backend APIs and checkout workflows.
• Developed APIs for product catalogs, order processing, and inventory systems supporting scalable backend operations for client storefronts.
• Designed and optimized relational databases for product, order, and customer data, improving query performance and indexing under increasing transaction volumes.
• Integrated third-party services including payment gateways (Stripe, PayPal) and logistics providers, ensuring smooth checkout and fulfillment workflows.
• Delivered production-ready e-commerce sites for startup clients under tight deadlines while maintaining code quality and post-launch reliability.
Education
Bachelor’s Degree in Computer Science at
National Taiwan University (NTU)
2009
-
2013