about

AZKA
FAHSYA

About Me

As a recent Informatics Engineering graduate from Krisnadwipayana University, I specialize in the combination of Machine Learning and Web Development. I am skilled in building intelligent solutions and implementing ML models into scalable web applications. I have extensive experience in intensive technical training through Bootcamps, implementing award winning projects, and being active in various organizations. I combine strong analytical rigor and software engineering principles to deliver scalable end to end technology solutions.

Azka Fahsya
Azka Fahsya
DEVELOPER

Education

Sep 2022 - Present

UNIVERSITY OF KRISNADWIPAYANA

Informatics Engineering

Current GPA : 3.83 / 4.00

Skills

Computer Skills

Python, Django, Machine Learning, Deep Learning (CNNs), PostgreSQL, MySQL, FastAPI, HTML, CSS, JavaScript, Bootstrap, PowerBI, Git.

Soft Skills

Professional Communication, Team Leadership, Analytical Problem Solving, Time Management, Adaptability, Public Speaking.

Language

Indonesia, English.

Working Experiences

Oct 2025 - Dec 2025

PT Sokka Tama Fiber (Persada Group)

IT Programmer Internship
  • Architected and developed 'Insys', a scalable web-based correspondence management system utilizing Django Framework and PostgreSQL to streamline complex administrative workflows across multi-company scaling within Persada Group.
  • Engineered robust Role-Based Access Control (RBAC) across 3 hierarchical tiers (Admin, Staff, Approver) and integrated ReCAPTCHA v3 risk-scoring architecture, significantly reducing automated threat risks and enhancing corporate data security.
  • Spearheaded an automated approval workflow and a searchable digital archiving module with real-time tracking, eliminating manual company-selection bottlenecks and improving inter-departmental document retrieval speed.
Feb 2025 - Jul 2025

DBS Foundation Coding Camp

Machine Learning Cohort & Capstone Innovator
  • Successfully co-developed 'LuminousSkin', an AI-powered diagnostic web platform designed to provide early skin disease detection and educational healthcare access for underserved (3T) regions in Indonesia, aligning with SDGs 3.3.
  • Mastered and applied deep learning workflow by implementing a Convolutional Neural Network (CNN) leveraging MobileNetV2 transfer learning; rigorously evaluated model performance using Precision, Recall, F1-Score, and ROC-AUC metrics.
  • Deployed real-time machine learning pipeline integrated seamlessly into the backend via FastAPI, enabling instantaneous image classification, educational output, and pharmacy mapping for end-users.

Organization Experiences

Aug 2024 - Aug 2025

Himpunan Mahasiswa Teknik Informatika (HIMATIF) UNKRIS

Coordinator of Infokom
  • Promoted to Division Coordinator after actively contributing as a media division member since Semester 2; spearheaded organizational publication strategies, digital branding, and communication workflows for the informatics student body.
  • Successfully managed and mentored division members in producing technical documentation, broadcast bulletins, and digital content, fostering a collaborative and structured media team during peak organizational periods.
Aug 2024 - Aug 2025

UKM Bulutangkis UNKRIS

President (Ketua UKM)
  • Demonstrated executive leadership by overseeing university-wide athletic operations, managing organizational budgets, coordinating training programs, and leading member development initiatives.
  • Cultivated strong interpersonal communication, time management, and adaptability skills while balancing intensive academic engineering coursework and technical bootcamps with organizational leadership responsibilities.

Projects

2026

Shopee Fraud Detector

Live Chrome Extension
  • Engineered and deployed a functional browser extension available on the Google Chrome Web Store, designed to analyze real-time transaction patterns and identify potential e-commerce fraud.
2025

Insys

Multi-Company Correspondence Management System
  • Developed an enterprise-grade web application utilizing Django and PostgreSQL, featuring automated approval workflows, RBAC, and secure digital archiving for Persada Group.
2025

LuminousSkin

AI-Powered Skin Disease Diagnostic Demo
  • Built an AI-driven web platform combining MobileNetV2, FastAPI, and React to decode skin disease symptoms in remote areas, empowering communities with accessible medical guidance and supporting SDGs 3.3.