About
I am a dedicated Software Engineer with a strong focus on AI and Computer Vision, bringing ~3 years of professional experience in the industry. My journey has taken me through impactful roles at organizations like Bank Syariah Indonesia, Widya Robotics, Alfabeta, and Nodeflux. I have a proven track record of developing end-to-end solutions, optimizing AI models, and implementing scalable systems.
Posts
Experience
Bank Syariah Indonesia
Software Engineer
Jul 2024 - Now
As a Software Engineer in the Financing and Collection team at Bank Syariah Indonesia, I am responsible for developing and maintaining software solutions that streamline financing processes and enhance collection efficiency. My role focuses on ensuring technology-driven improvements to support the bank's operational goals.
- Designed and implemented robust backend services using Java Spring Boot and Outsystems, enabling scalable, efficient, and secure operations for financing and collections processes.
- Developed and optimized user-friendly frontend systems with Laravel and NextJS, providing intuitive interfaces for monitoring, managing, and streamlining financing and collections workflows, ensuring timely follow-ups and significantly reducing overdue accounts.
- Designed and implemented a financing recommender system leveraging Machine Learning techniques to identify and generate high-quality customer leads. The system was built with a robust MLOps pipeline that included MLFlow for comprehensive model tracking and experimentation, Jenkins for automating the training, testing, and deployment workflows, and MLServer by Seldon to ensure scalable and efficient model serving. This end-to-end solution significantly enhanced the bank's ability to target potential customers effectively and streamline financing operations.
Widya Robotics
AI Vision Engineer
May 2023 - Oct 2024
Led the development of end-to-end computer vision applications within the Nvidia environment. Focused on achieving optimal performance, I harnessed the capabilities of TensorRT and DeepStream for AI model optimization, ensuring seamless operation with low latency. Notable products/projects under my purview include:
- Provided leadership and guidance to MSIB (Kampus Merdeka) AI Engineer Interns, contributing to their professional development and fostering a collaborative learning environment.
- Led the conception and execution of the Coconut Counter AI Engine, an innovative computer vision application, demonstrating expertise in precision agricultural monitoring.
- Led the development of a cutting-edge PPE Recognition system, leveraging advanced computer vision techniques to ensure comprehensive adherence to safety protocols.
- Directed the development of the Skin Analyzer, a sophisticated computer vision application, showcasing a commitment to precision in dermatological analysis and healthcare solutions.
Alfabeta
Computer Vision Engineer
Sep 2022 - April 2023
Specialized in development of end-to-end computer vision applications within the Intel Environment at Alfabeta, an official partner of Intel. Played a key role in building sophisticated computer vision applications optimized for Intel hardware covering CPU, iGPU, and GPU, seamlessly integrated through the application of OpenVINO. My experiences includes:
- Contributed to the development of a License Plate Recognition (LPR) application with a focus on accurately identifying license plate numbers, along with associated vehicle attributes such as model, make, color, and orientation (MMCO).
- Engaged in a project focused on the development of an application utilized by Unilever for the precise detection of forklifts and workers within restricted areas.
- Contributed to the development of a Face Recognition for visitor management system (VMS).
Nodeflux
AI Engineer Intern
Feb 2022 - July 2022
Embarked on my initial professional journey in the domain of AI engineering, specializing in Computer Vision. Under the mentorship of seasoned experts, I immersed myself in acquiring best practices for AI development. Notable internship projects include:
- Contributed to the development of an innovative solution leveraging the Computer Vision Annotation Tool (CVAT) for the automatic data annotation supported by AI models.
- Integrate CVAT with FiftyOne, DvC and Minio to create an end-to-end DataOps platform.
Education
Universitas Gadjah Mada
Engineering Physics (Image Processing)
Aug 2018 - Nov 2022
Acquiring an academic foundation in Engineering Physics has equipped me with a profound understanding of fundamental engineering disciplines. This rigorous education served as the cornerstone upon which I cultivated a robust skill set, enabling me to evolve into a professional Computer Vision Engineer.
- Member of Intelligent and Embedded System Research Group (InESys)
Projects
YOLO3D
Monocular 3D object detection