Amee
Junior AI Application Engineer
Cebu City, Philippines · UTC+8 · 3 years of experience
Amee focuses on shipping dependable AI product experiences from typed APIs through production UX.
Request a shortlistWhy this profile fits
Product-quality AI UX
Builds responsive, accessible interfaces that make uncertainty, sources, progress, and recovery understandable.
Typed model contracts
Uses structured outputs, validation, regression tests, and fallbacks to keep model behavior inside the application contract.
Full-stack ownership
Ships the interface, service, data path, observability, and deployment as one operable product.
Relevant toolkit
TypeScript
React
Next.js
Python
FastAPIDelivery evidence
Selected work
RAG Trace & Groundedness Dashboard
B2B SaaS analytics platformInstrumented a customer-facing RAG assistant end to end with OpenTelemetry and Langfuse, capturing retrieval, rerank, and generation spans per request. Added groundedness and citation-coverage scoring so support and product could read quality by customer segment. Reduced the mean time to diagnose a bad answer from hours to minutes and cut unsupported claims by 34%.
Eval Harness for Structured-Output Extraction
Regional fintech lenderBuilt a regression eval suite for a loan-document extraction endpoint using OpenAI Evals and Braintrust, with 300+ labeled cases and JSON-schema validation via Pydantic and Instructor. Gated every prompt and model change behind the suite. Field extraction accuracy rose from 82% to 96% and schema-invalid responses dropped below 0.5%.
Relevant experience
Career timeline
LLM Engineer, Observability
2025–PresentSeries B B2B SaaS analytics company (remote) · Remote, Cebu City, Philippines
- Instrumented three production RAG and agent features with OpenTelemetry and Langfuse, giving the team per-request trace visibility that cut mean time to diagnose model failures from roughly 4 hours to under 20 minutes.
Software Engineer
Dec 2019–PresentViitorCloud Technologies · Remote, Cebu City, Philippines
- Developed RAG pipelines over a 60,000-document knowledge base using pgvector and reranking, improving answer accuracy from 71% to 89% on a curated eval set.
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Skill depth
Show experience in context.
Relevant experience by skill
See the complete skill index
Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
Bachelor of Science, Computer Science
University of San Carlos · 2018–2022 · Cum Laude
Credentials
Certifications
AWS Certified Developer – Associate
Amazon Web Services · 2025 · Certified
NVIDIA-Certified Associate: Generative AI LLMs
NVIDIA · 2024 · Certified
Communication
Languages
Filipino (Tagalog)
Native
Cebuano
Native
English
Fluent
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