AI / Machine Learning Engineer
South Jakarta, Indonesia
AI Engineer shipping computer vision, LLM, and MLOps systems—from training pipelines to monitored inference on GKE and GCP.
March 2025 – Present
Architected a production smartphone-grading pipeline of six detection, classification, and segmentation models. Led the migration from Docker Swarm to GKE, tuned per-service autoscaling, built Vertex AI training pipelines with MLflow, and added inference monitoring with VictoriaMetrics and Grafana. Benchmarked 10,000+ samples across multiple YOLO generations and shipped real-time OCR for paperless trading-machine transactions.
April 2024 – December 2024
Built an LLM-powered CV parsing and scoring pipeline with LlamaIndex and Groq, reducing manual screening time by 50%. Developed RAG assistants with Flask and MongoDB, a live coding assessment platform, and recruitment analytics pipelines for HR teams.
August 2023 – February 2024
Developed vehicle detection and counting models with 86% validation accuracy and a waste-classification CNN with 82% precision on hazardous objects. Defined annotation and preprocessing standards to improve generalization across varied data conditions.
Equity-analysis platform with multi-factor scoring, backtesting, market heatmaps, and screening for US and Indonesian stocks. Built the Django backend, frontend, and cloud deployment.
Django · Python · PostgreSQL · TypeScript
Computer vision pre-screening system for strabismus using facial landmarks and deep-learning classification to flag misaligned gaze axes.
Python · OpenCV · PyTorch · MediaPipe
NLP and RAG recruitment pipeline using OpenAI embeddings, Pinecone, FastAPI inference, and GPT cost analytics.
Python · FastAPI · OpenAI · Pinecone · Docker · MLflow
Dockerized FastAPI service for YOLOv11 inference, annotated-image output, and static result delivery.
FastAPI · YOLOv11 · Docker · Uvicorn · Python
core: Python, TypeScript, SQL
ai / ml: PyTorch, TensorFlow, OpenCV, YOLO, ONNX, Scikit-Learn
backend: FastAPI, Flask, Django, REST APIs
mlops & cloud: Docker, Kubernetes (GKE), GCP Vertex AI, MLflow, GitLab CI/CD, VictoriaMetrics, Grafana
data: PostgreSQL, MongoDB, Pinecone
Telkom University
Bachelor of Computer Science · GPA 3.8 / 4.0