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CHRISTIAN A. — Mid-Level AI Software Engineer from Philippines

CHRISTIAN A.

Mid-Level AI Software Engineer

Philippines 2-3 years
Open to offersNew to Platform
Languages
EnglishTagalog
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About

Christian M. A. is a distinguished AI Engineer specializing in AI backend solutions and scalable GenAI systems. Currently serving as a Software Design Engineer II at NEC Telecom Software Philippines Inc., he has architected and deployed a microservices-based RAG platform using Python, integrating advanced technologies such as ChromaDB and Firestore for optimal document processing. Christian has excelled in designing scalable AI backend services on Google Cloud Run, harnessing serverless auto-scaling to optimize cost and enhance performance. His expertise includes building secure AI consumption frameworks by integrating Azure OpenAI with the company's LLM, thereby fostering collaboration across multiple project teams. He has significantly enhanced response accuracy and minimized hallucination risks through structured retrieval pipelines employing LangChain and the Azure Embedding Model. His role extends to mentoring engineers in AI Governance and microservices design, leveraging his deep knowledge in GPU infrastructure management, serverless computing, and AI service deployment. Christian's technical prowess is further validated by certifications including PCEP, PCAP, Azure AI Fundamentals, and recognition as a Google Gen AI Leader.

Experience

  • Software Design Engineer II

    NEC Telecom Software Philippines Inc. · 2023 — Present
    Architected and deployed a microservices-based RAG platform using Python, which managed document ingestion, chunking, embedding generation, and vector storage via ChromaDB and Firestore. Designed and implemented scalable AI backend services hosted on Google Cloud Run, utilizing serverless auto-scaling for improved cost and performance. Developed an internal LLM proxy that integrated Azure OpenAI with the company's LLM, facilitating secure AI usage for various project teams. Created structured retrieval pipelines employing LangChain and Azure Embedding Model to enhance response accuracy and mitigate hallucination risks. Delivered AI prototype projects under strict deadlines while ensuring a modular architecture and functional proof of concept. Provided leadership for the team in project planning and estimation through risk assessment, research of AI services and tools, and system design. Mentored engineers on AI Governance, design, and deployment strategies for AI microservices.

Skills & Expertise

Education

  • Bachelor of Science in Computer Engineering
    University of Science and Technology of Southern Philippines