I’m a Senior Full-Stack AI Engineer from the Philippines with 8+ years of experience building production-grade AI features end to end—especially for retrieval-augmented generation, enterprise search, and document intelligence. I work across the stack with React and TypeScript, and backend services in Java/Spring Boot and Python/FastAPI, using PostgreSQL, Redis, OpenSearch, and vector search (pgvector) to deliver grounded, permission-aware AI that fits regulated, data-intensive environments.

I’m a Senior Full-Stack AI Engineer from the Philippines with 8+ years of experience building production-grade AI features end to end—especially for retrieval-augmented generation, enterprise search, and document intelligence. I work across the stack with React and TypeScript, and backend services in Java/Spring Boot and Python/FastAPI, using PostgreSQL, Redis, OpenSearch, and vector search (pgvector) to deliver grounded, permission-aware AI that fits regulated, data-intensive environments.

Available to hire

I’m a Senior Full-Stack AI Engineer from the Philippines with 8+ years of experience building production-grade AI features end to end—especially for retrieval-augmented generation, enterprise search, and document intelligence. I work across the stack with React and TypeScript, and backend services in Java/Spring Boot and Python/FastAPI, using PostgreSQL, Redis, OpenSearch, and vector search (pgvector) to deliver grounded, permission-aware AI that fits regulated, data-intensive environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Software Engineer at Atlassian
July 1, 2025 - Present
Worked on enterprise AI search and knowledge-assistant capabilities for Jira and Confluence using React, TypeScript, Java/Spring Boot, Python services, OpenSearch, Redis, Docker, and Kubernetes. Implemented permission-aware hybrid retrieval (BM25 + vectors), metadata filters, reranking, source citations, and authorization checks to improve offline top-result relevance while preserving tenant isolation. Optimized LLM orchestration and conversational APIs with caching, batching, async processing, and query tuning to reduce p95 latency while keeping traceability and audit controls. Collaborated with product, security, platform, and machine learning teams on evaluation and production retrospectives to reduce post-release defects.
Senior Full-Stack AI Engineer at Practice AI
October 1, 2022 - June 30, 2025
Led full-stack legal-medical document intelligence workflows with React, TypeScript, Python/FastAPI, PostgreSQL, Redis, Celery, Azure services, OCR, RAG, and LLM integrations. Built secure case and document-management workflows including upload/preview, processing status, RBAC, encrypted storage, audit trails, background jobs, and human review to reduce case setup and organization time. Developed document-grounded demand generation using Azure OpenAI, embeddings, approved templates, prompt versioning, output validation, and attorney approval to significantly reduce drafting time. Engineered AI case-summary and medical-chronology processing with Azure AI Document Intelligence, pgvector, extraction rules, confidence thresholds, and reviewer flags, and integrated external case systems via OAuth2, REST APIs, webhooks, Azure Service Bus, idempotency, retries, and reconciliation.
Software Developer at Optum Global Solutions
March 1, 2018 - August 31, 2022
Progressed from healthcare software development into applied machine learning and clinical NLP for claims review, anomaly detection, medical coding, and care-management products using Java, Python, React, PostgreSQL, Redis, and cloud-native services. Built claims-review APIs and analyst dashboards with audit controls and integrations to reduce review time and automate initial validation. Developed ML pipelines and anomaly models (XGBoost, random forests, logistic regression, isolation forests) with Spark and Airflow to improve inaccurate-claim detection at scale. Implemented explainable inference workflows for reviewer feedback and clinical NLP services using ClinicalBERT/BioBERT, spaCy, PyTorch, Celery, and confidence thresholds with human validation. Deployed ML/API workloads using Kafka, Docker, Kubernetes, Jenkins, and monitoring with encryption and audit logging.
Junior Software Engineer at ByteDance
October 1, 2017 - January 31, 2018
Supported internal operations and content-management tools with Python, JavaScript, SQL, APIs, and web frameworks. Delivered automation scripts that reduced repetitive reporting and data-cleanup work. Resolved API, frontend, testing, and data-quality issues under senior guidance and delivered production fixes while building foundations in monitoring and release practices.

Education

Master of Science in Computer Science at Fudan University
January 1, 2014 - January 1, 2017
Bachelor of Science in Computer Science at Zhejiang University
January 1, 2010 - January 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Government, Professional Services, Healthcare, Telecommunications

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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