Hafidh Muhammad Akbar

About Me

I am an AI Engineer and Data Analyst focused on transforming complex, raw data into intelligent, actionable solutions. With a strong foundation in data engineering through my previous role at Akuntplus, I bring an end-to-end perspective on the data lifecycle, from data architecture and pipeline development to advanced analytics implementation. As an Informatics graduate from Universitas Sebelas Maret, I have consistently demonstrated a solid technical foundation in high-stakes environments. My expertise is validated by a distinguished competitive record, notably securing 1st Place in the ICT Scientific Paper category at GEMASTIK 2023 and recognized as a Data Mining Finalist at GEMASTIK 2024.

Work Experiences

Data Engineer

Akuntplus | Contract | Jun 2025 - Feb 2026

Designed and maintained ETL pipelines to extract, transform, and load data from multiple sources into centralized data warehouses
Developed and optimized SQL queries for efficient data extraction, transformation, and reporting
Implemented data validation and quality checks to improve reliability and trust in business data
Documented data processes and created clear handover materials to support team scalability and maintainability

Teaching Assistant (Database Systems and Programming Basics)

Universitas Sebelas Maret | Contract | Aug 2023 - Jan 2025

Designed and taught relational database concepts using SQL Server, with focus on query optimization and indexing techniques
Implemented Python database integrations to demonstrate data pipeline development on Microsoft Azure
Conducted hands-on programming labs covering C/C++ fundamentals including pointers, memory management, and OOP principles
Created beginner-friendly exercises and visual aids to explain data structures (linked lists, stacks, queues, trees)

ML Engineer (Project-Based Experience)

Bangkit Academy | Internship | Aug 2023 - Jan 2024

Developed NutriMate, a full-stack nutrition application that calculates daily calorie needs and generates personalized meal plans using machine learning
Engineered and optimized a recommendation system using collaborative filtering techniques (TensorFlow, Python, Javascript)
Presented technical solutions to industry experts, receiving recognition for innovative approach to personalization

Education

Bachelor of Informatics

Universitas Sebelas Maret | Aug 2021 – Apr 2025

GPA: 3.93/4.00

Relevant coursework: Artificial Intelligence, Machine Learning, Data Mining, Database Management, Web Development

Certifications

TensorFlow Developer

Google | Mar 2024 - Mar 2029

View Credential

Bangkit Academy 2023: Machine Learning

Bangkit Academy | Jan 2024

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TensorFlow: Data and Deployment

Coursera | Nov 2023

View Credential

Structuring Machine Learning Projects

Coursera | Nov 2023

View Credential

DeepLearning.AI TensorFlow Developer

Coursera | Oct 2023

View Credential

Machine Learning Specialization

Coursera | Oct 2023

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Mathematics for Machine Learning and Data Science

Coursera | Sep 2023

View Credential

Awards

1st Winner & Best Paper - Gemastik XVI 2023

Puspresnas, Kemdikbudristek | Sep 2023

1st Place - 11th Airlangga Ideas Competition 2023

Universitas Airlangga | Nov 2023

Finalist - Gemastik XVII 2024

Puspresnas, Kemdikbudristek | Sep 2024

1st Place - Academic Competition of Data Science 2024

Universitas Surabaya | Oct 2024

Publications

ERCU-Net: Advancing Skin Lesion Segmentation Through Efficient and Accurate Deep Learning Model

IEEE ISITIA, Jul 2025

Hi, I'm Hafidh Muhammad Akbar

About Me

Work Experiences

Data Engineer

Teaching Assistant (Database Systems and Programming Basics)

ML Engineer (Project-Based Experience)

Education

Bachelor of Informatics

Certifications

TensorFlow Developer

Bangkit Academy 2023: Machine Learning

TensorFlow: Data and Deployment

Structuring Machine Learning Projects

DeepLearning.AI TensorFlow Developer

Machine Learning Specialization

Mathematics for Machine Learning and Data Science

Awards

1st Winner & Best Paper - Gemastik XVI 2023

1st Place - 11th Airlangga Ideas Competition 2023

Finalist - Gemastik XVII 2024

1st Place - Academic Competition of Data Science 2024

Publications

ERCU-Net: Advancing Skin Lesion Segmentation Through Efficient and Accurate Deep Learning Model

CPMA-Net: A Lightweight Network Based on Half-UNet with Multiscale and Attention Mechanisms for Nuclei Segmentation

Attention Half-Unet: Efficient Model for Colon Histology Image Segmentation in Colorectal Cancer Detection

CMRA-Net: An Efficient Architecture for Early Detection of Breast Cancer Through Ultrasound Image Segmentation

SEPA-Net: Segmentation Model for Breast Cancer Detection in Ultrasound Imaging

SEMAR-Net: An Efficient Deep Learning Model for Automatic Colorectal Polyp Detection

Digital Image-Based Building Detection Using Ghost Encoder-Decoder

RESPA-Net: An Efficient Model for Polyp Image Segmentation Based on Multi Residual and Attention Mechanism

FMDDU-Net: An Effective and Efficient Deep Learning Method for Automatic Colorectal Polyp Detection

Breast Ultrasound Image Segmentation with Multidimensional Attention and Spatial-Channel Squeeze-and-Excitation Block

Automated Building Segmentation Using Half-UNet with Multi-Scale Residual Attention and Self-Calibrated Pixel Attention

Meat Classification Using MobileNetV3Large Architecture

Digital Satellite Image-Based Automatic Building Segmentation Using Pixel Attention Half-UNet

MRAH-Net: Multiscale Residual Attention Half-UNet Efficient Deep Learning Model for Automatic Polyp Detection

ACMU-Net: An Efficient Architecture Based on ConvMixer and Attention Mechanism for Colorectal Polyp Segmentation

Improved Factorized Residual U-Net for Biomedical Polyp Segmentation

AGU-NET: Attention Ghost U-Net Untuk Segmentasi Penyakit Polip Berbasis Citra Biomedis

Projects

ML/Data Science

Web Development

Skills

Contact Me