John

Key Skills

Software

No software listed

Top Subject Matter

LLM systems

Rag Domain Expertise

Embeddings Domain Expertise

Top Data Types

Text

Document

Top Task Types

Question Answering

Tracking

Freelancer Overview

AI Application Engineer working on large-language-model production applications and RAG/assistant systems at Nexora AI S. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Technological University of the Philippines (2019) and National Certificate III, TESDA (2019). AI-training focus includes data types such as Text and labeling workflows including Question Answering, Tracking, and Prompt-Response Writing.

Labeling Experience

AI Application Engineer - Nexora AI Systems

TextTracking

AI Application Engineer building production-grade AI applications powered by large language models and converting prototypes into reliable systems for customer workflows. Designed and shipped RAG pipelines using vector search and semantic retrieval to improve relevance and reduce hallucinations. Developed backend orchestration services with Node.js and NestJS and optimized LLM operations via caching, batching, and prompt tuning. • Built RAG pipelines combining vector search with semantic retrieval • Integrated OpenAI and Claude APIs using structured prompting and function calling • Developed AI assistants and chatbots to automate document processing and support tasks • Orchestrated multi-step AI agents with queuing, retries, and asynchronous processing at scale

2023 - Present

AI Application Engineer working on large-language-model production applications and RAG/assistant systems at Nexora AI Systems

TextQuestion Answering

Built production RAG pipelines combining vector search with semantic retrieval to improve answer relevance for internal knowledge bases. Integrated OpenAI and Claude APIs using structured prompting, function calling, and response validation to keep outputs consistent and safe. Developed and orchestrated AI assistants and chatbots that automate document processing workflows using embeddings and semantic search over unstructured datasets. • Designed retrieval workflows for reducing hallucinations and improving relevance. • Implemented embeddings-backed semantic retrieval on vector databases. • Used prompt tuning, caching, and request batching to optimize LLM operations. • Automated multi-step document processing and support tasks via agents.

2023 - 2026

Education

Work History