8+ years backend engineer with AI/ML Experience . AI Engineer . ML Engineer . Computer Vision . Insurance . Banking
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IPB University
Master of computer science, Computer Science
August 1, 2021 – July 1, 2025
IPB University
Bachelor's degree, agriculture and biosystems engineering
January 1, 2012 – January 1, 2016
CIMB Niaga
Senior Backend Engineer - AI Squad
November 1, 2025 – Present
Prodigi
Senior Backend Engineer
April 1, 2023 – August 1, 2025
Jakarta, Indonesia
Pitik
AI / Data Engineer
February 1, 2022 – April 1, 2023
Jakarta, Indonesia
Qoala
Lead Data Engineer
June 1, 2021 – January 1, 2022
Qoala
Senior AI Engineer
August 1, 2020 – May 1, 2021
Qoala
AI Engineer
February 1, 2019 – August 1, 2020
PT Pertamina (Persero)
Freelance AI Fullstack Engineer (Unit Balongan Refinery)
January 1, 2018 – December 1, 2018
PT Pertamina Refinery Unit Balongan · Remote
Nodeflux
AI engineer
September 1, 2017 – October 1, 2018
Indonesia
WIR Group
R&D staff (Machine Learning)
November 1, 2016 – September 1, 2017
Jakarta, Indonesia
Indonesian Food Image Recognition with Deep Learning
March 1, 2017 – Present
We Played with transferable features of inception model to recognize food images
Simple Tensor
February 1, 2017 – Present
Simplification of TensorFlow (1.4.1 - 1.14) tensor operations, losses, and metrics. It also contains object detection (Yolo-v3) FROM SCRATCH, LSTM FROM SCRATCH, transfer learning (Inception-v4 and densenet), semantic segmentation (U-net) FROM SCRATCH. pypi: https://pypi.org/project/simple-tensor/ github: https://github.com/fatchur/Simple-Tensor
Vision-Based Pineapple Grading Software
April 1, 2016 – September 1, 2016
We developed an intelligent software for pineapple grading machine based on computer vision. Several informations (colors, size, roundness, compactness, patterns) were extracted from the object, and We applied artificial neural network to predict the quality. This project successfully handle 12 pineapples/s.
The Complete Hands-On Introduction to Apache Airflow
Udemy
June 24, 2026 – Present
Go: The Complete Developer's Guide (Golang)
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio, including 'Simple Tensor' built from scratch and various real-world applications (pineapple grading, chicken behavior monitoring, safety violation detection), demonstrates a strong passion for AI and computer vision. The diverse experience across different companies (Nodeflux, Qoala, Pitik, CIMB Niaga) and roles (AI Engineer, Data Engineer, Backend Engineer) suggests adaptability and a broad technical interest. The target role of Computer Vision aligns well with the candidate's core expertise and project history.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, initiative (e.g., initiating job schedulers, migrating Metabase), and a focus on cost optimization. The progression through roles from AI Engineer to Senior/Lead roles indicates leadership potential and increasing responsibility. The detailed descriptions of technical challenges and solutions suggest a practical, results-oriented approach.