Senior AI Engineer in Jakarta, Indonesia: Anita W. for Hire - Second Talent
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Anita W.
Vetted

Anita W.

Senior AI Engineer

Experience

5+ Years

Availability

Full-time

English

Advanced

PythonPyTorchLangChainHugging Face
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Verified by Second Talent Jan 2024
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About

Anita is an AI engineer who builds production-grade machine learning systems and LLM-powered applications. She has shipped ML features used by millions of users across e-commerce, healthtech, and fintech platforms. Her expertise spans the full ML lifecycle from data pipeline design through model training, fine-tuning, and deployment. She is deeply experienced with modern LLM frameworks including LangChain and Hugging Face Transformers, and has deployed RAG systems, AI agents, and custom fine-tuned models in production environments.

Languages

English

Advanced

Bahasa Indonesia

Native

Skills

AI/ML

PyTorchTensorFlowHugging Facescikit-learnONNX

LLM

LangChainOpenAI APIClaude APIRAGFine-tuning

Backend

PythonFastAPIFlaskCelery

Data

PostgreSQLPineconeWeaviateRedisApache Spark

Cloud

AWS SageMakerGCP Vertex AIDockerKubernetes

Experience

Senior AI Engineer

2023 - Present

Xendit

Leading AI feature development including a RAG-powered knowledge assistant and automated content moderation system. Deployed LLM agents that handle 30K+ queries daily with 94% accuracy.

  • LLM agents handle 30K+ queries/day with 94% accuracy, reducing support tickets by 45%
  • RAG knowledge assistant indexes 200K+ documents with sub-2s retrieval latency
  • Content moderation system processes 50K+ user posts/day, flagging policy violations with 96% precision

Machine Learning Engineer

2021 - 2023

Tokopedia

Built recommendation systems and search ranking models serving 12M+ monthly users. Implemented real-time fraud detection pipeline using PyTorch and Apache Kafka.

  • Recommendation engine increased average order value by 18% across 12M monthly users
  • Fraud detection pipeline caught $2.3M in fraudulent transactions in first 6 months
  • Search ranking model improved click-through rate by 32%

Data Scientist

2020 - 2021

Halodoc

Developed predictive models for patient risk scoring and clinical trial matching. Reduced false positive rates by 40% through ensemble model optimization.

  • 40% reduction in false positives for patient risk scoring model
  • Clinical trial matching algorithm improved patient-trial fit by 25%

Education

M.Sc. Artificial Intelligence

Institut Teknologi Bandung

2020

B.Sc. Computer Science

Universitas Indonesia

2018

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