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Nadia M.
Vetted

Nadia M.

Senior AI Engineer

Experience

6+ Years

Availability

Full-time

English

Advanced

Python LangChain OpenAI RAG
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Verified by Second Talent Dec 2023
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About

Nadia is a senior AI engineer specializing in building production LLM agents and retrieval-augmented generation systems. She has designed and deployed AI systems that power customer support automation, internal knowledge bases, and intelligent document processing for companies across fintech, legal tech, and enterprise SaaS. Her deep expertise in vector databases, embedding strategies, and prompt engineering enables her to build AI features that are accurate, fast, and cost-efficient at scale.

Languages

English

Advanced

Vietnamese

Native

French

Conversational

Skills

LLM & AI

LangChain LlamaIndex OpenAI API Claude API RAG Prompt Engineering

ML

Python PyTorch Hugging Face spaCy NLTK

Vector DB

Pinecone Weaviate Chroma pgvector

Backend

FastAPI Django Celery GraphQL

Cloud

AWS GCP Docker Terraform

Experience

Senior AI Engineer

2022 - Present

FPT Software

Architected and deployed a RAG pipeline processing 500K+ documents for an enterprise knowledge base. Built multi-agent systems that reduced customer support ticket resolution time by 65%.

  • RAG pipeline indexes 500K+ documents with 89% retrieval relevance score
  • Multi-agent system cut support ticket resolution time by 65%, saving $180K/year
  • Built 3 production AI agents serving 12 enterprise clients

AI/ML Engineer

2020 - 2022

LegalForce

Built NLP systems for contract analysis and legal document classification. Developed a custom fine-tuned model for clause extraction that achieved 92% F1 score on production data.

  • 92% F1 score on clause extraction model across 50K+ legal documents
  • Contract analysis pipeline reduced manual review time by 75%
  • NLP classification system handles 8 document types with 95% accuracy

Software Engineer

2018 - 2020

VNPay

Developed backend services and data pipelines for a fintech platform serving 2M+ users. Introduced ML-based anomaly detection for transaction monitoring.

  • Backend services supported 2M+ active users with 99.95% uptime
  • Anomaly detection flagged $500K+ in suspicious transactions in first quarter

Education

M.Sc. Computer Science

Vietnam National University

2019

B.Sc. Software Engineering

Hanoi University of Science and Technology

2017

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