Skip to content
Anita W.
Vetted

Anita W.

Senior AI Engineer

Experience

5+ Years

Availability

Full-time

English

Advanced

Python PyTorch LangChain Hugging Face
Hire Anita
Verified by Second Talent Jan 2024
🇮🇩 Hire developers in Indonesia →

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

PyTorch TensorFlow Hugging Face scikit-learn ONNX

LLM

LangChain OpenAI API Claude API RAG Fine-tuning

Backend

Python FastAPI Flask Celery

Data

PostgreSQL Pinecone Weaviate Redis Apache Spark

Cloud

AWS SageMaker GCP Vertex AI Docker Kubernetes

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

Interested in working with Anita?

Tell us about your project and we will match you with Anita or similar talent within 24 hours.

Start Hiring
WhatsApp