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Muhammad Agil GhifariMG
Open to opportunities

Muhammad Agil Ghifari

@muhammadagilghifari

I build production ML, LLM, and MLOps systems for enterprise clients on Google Cloud.

Indonesia
Message

What I'm looking for

I'm looking to build and deploy end-to-end ML and AI systems, from proof of concept to production, for enterprise-scale problems using Google Cloud, LLMs, scalable inference, and MLOps.

At Devoteam Google Cloud, I deliver end-to-end ML and AI solutions for banking, energy, telecommunications, and media clients, translating requirements into GCP architectures from proof of concept through production. My work spans computer vision, generative AI, semantic search, AI agents, and MLOps pipelines.

I've built real-time earthquake detection with 0.5-second latency, an image-classification pipeline processing 1 million images daily, and an enterprise RAG chatbot achieving over 90% retrieval accuracy. Previously at Bahasa.ai, BMKG, and Dana Indonesia, I worked on Indonesian NLP and LLMs, geophysical signal processing, fraud detection, scalable inference, and production deployment.

Experience

Work history, roles, and key accomplishments

Devoteam logoDE
Current

Machine Learning Engineer & Solution Consultant

Jun 2024 - Present (2 years 2 months)

Delivered end-to-end ML and AI solutions for enterprise clients across banking, energy, telecommunications, and media on Google Cloud Platform. Served as solution consultant, translating client requirements into GCP architecture designs and leading technical delivery from proof-of-concept to production.

DI

Data Scientist Intern

Dana Indonesia

Jan 2023 - May 2023 (4 months)

Applied machine learning to financial transaction graph data for fraud detection and deployed models to Google Cloud. Received Best Team recognition from Bangkit.

Education

Degrees, certifications, and relevant coursework

University of Indonesia logoUI

University of Indonesia

Bachelor of Computer Science, Computer Science

2020 - 2024

Grade: 3.7 / 4.0 (Cum Laude)

Pursued a Bachelor of Computer Science with a focus on AI electives, graduating with Cum Laude honors and a GPA of 3.7/4.0.

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