Professional Summary
Artificial Intelligence Engineering student at Institut Teknologi Sepuluh Nopember focusing on Machine Learning and intelligent systems development, with research interest in cybersecurity. Experienced as Teaching Assistant in Graf Teory courses and actively leading scientific development initiatives, combining academic foundations, technical problem solving, and collaborative research-oriented work toward building intelligent AI-based systems.
Education
Institut Teknologi Sepuluh Nopember (ITS)
Surabaya, Indonesia
Bachelor of Artificial Intelligence Engineering
GPA: 3.51 / 4.00
Work Experience
Teaching Assistant — Graph Theory
Institut Teknologi Sepuluh Nopember
- Assisted students in understanding graph algorithm concepts
- Supported evaluation of assignments, quizzes, and projects
- Collaborated with lecturer to ensure course learning outcomes
Teaching Assistant — Database Systems
Institut Teknologi Sepuluh Nopember
- Prepared database practicum materials and learning modules
- Guided students during laboratory sessions
- Evaluated coursework and supervised final projects
Organizational Experience
Head of Scientific Development Bureau — HMTC ITS
Surabaya, Indonesia
- Led scientific development programs for informatics students
- Organized PKTI TD scientific writing training
- Initiated Bluecamp research mentoring program
Technical Staff — NLC Schematics ITS
Surabaya, Indonesia
- Maintained technical infrastructure during national programming competition
- Designed interactive competition experience
- Developed game challenge for NLC semifinal stage
Student Development Staff (PSDM) — Robotics UKM ITS
Surabaya, Indonesia
- Designed member development programs combining technical training and soft skills
- Facilitated internal development activities and coordination
Data Management Staff — Inclenation FTEIC ITS
Surabaya, Indonesia
- Managed and verified participant data
- Maintained data integrity and documentation
Evaluator — OKKBK Informatika ITS
Surabaya, Indonesia
- Evaluated program execution and participant performance
- Provided improvement recommendations
Certifications & Training
Leadership and Self-Management Training — Pre Basic Level (LKMM TD FTEIC)
Participated in introductory leadership training focusing on organizational management, team collaboration, and university-level event coordination skills.
Leadership and Self-Management Training — Pre Basic Level (LKMM Pra-TD FTEIC)
Completed foundational leadership and self-management training emphasizing adaptation to academic environment and student organizational development.
Scientific Writing Training — Basic Level (PKTI-TD)
Participated in academic writing training covering proposal drafting, data processing fundamentals, and structured scientific presentation.
Student Entrepreneurship Skills Training — Basic Level (LKMW-TD)
Completed entrepreneurship training focused on business planning, innovation mindset, and entrepreneurial skill development.
My Skills
Core competencies in AI engineering, intelligent systems, and collaborative development.
Python
Machine Learning
Computer Vision
Deep Learning
PyTorch
Data Analysis
Git
Problem Solving
Team Leadership
Research Thinking
Projects
Quran Re-Ranking Engine
Two-stage retrieval AI using SBERT embedding and machine learning ranking for semantic verse search.
Dual Dimension Game
Pixel adventure game implementing parallel world mechanics and interactive gameplay system.
Hoax Detection AI
Fuzzy logic and metaheuristic optimization approach for misinformation detection.
Graph Algorithm Game
Game implementation exploring graph theory concepts.
Final Project Idea
Smart Academic Planner
A web-based intelligent academic planning platform designed to help students manage courses, assignments, deadlines, and learning progress using AI-driven prioritization and productivity analytics.
- Course & Semester Management System
- Assignment Priority Recommendation Algorithm
- Automated Study Schedule Generator
- Academic Progress Monitoring Dashboard
- Learning Productivity Analytics
Problem
Students often struggle managing academic workload across multiple platforms, resulting in missed deadlines and inefficient study planning.
Solution
An integrated intelligent planner that analyzes workload patterns, recommends priorities, and visualizes academic performance in a single platform.
Future Vision
Transform academic planning into an AI-assisted decision-support system that enables students to learn strategically rather than reactively.
Career Vision
My long-term professional goal is to become an Artificial Intelligence and Machine Learning Engineer specializing in cybersecurity systems, contributing to global technology companies through remote collaboration environments.
I am particularly interested in developing intelligent security solutions that combine machine learning, anomaly detection, and automated defense mechanisms to address modern cyber threats.
Beyond the technology industry, I aim to leverage my engineering career to build sustainable agricultural and livestock businesses in my hometown, applying data-driven decision making and smart technology to empower rural economic development.
This vision reflects my commitment to connecting advanced AI innovation with real-world societal impact — bridging global technology advancement and local community growth.