About Me
Turning complex data into precise insights & models
I’m an AI/ML Engineer and Data Analyst focused on building modern machine learning models, processing structured and unstructured data, and creating clear, actionable insights. My approach is grounded in solving real-world challenges, ensuring every analysis delivers business value and every model is built for reliable production deployment.
I’ve applied this through hands-on work in deep learning research, end-to-end ML pipelines, and mentoring aspiring AI developers.
2+ Years
Professional Experience in AI/ML & Data
4+
Verified Industry Certifications
10+
Research, Deep Learning & Analytics Projects
Work & Leadership Experience
4 PositionsAI Engineer Facilitator
CompletedCoding Camp powered by DBS Foundation
Jan 2026 — Mar 2026
- Facilitated 16 weekly consultation sessions for 25 students using Python and ML frameworks, contributing to a 92% graduation rate
- Supported industry instructors across 14 Instructor-Led Training sessions on AI technology and soft skills, averaging 40-50 participants per session
- Evaluated participant progress and resolved technical inquiries, earning a 4.95/5.00 average bi-weekly satisfaction rating and 4.86/5.00 ILT session rating
PythonSQLPyTorchTensorFlow
Information Systems Intern
CompletedMinistry of Communication and Digital (Komdigi)
Jun 2025 — Aug 2025
- Built E-Persediaan, a web-based inventory management application using Laravel and MVC architecture to digitalize logistics, managing 50+ inventory items across multiple divisions
- Developed secure multi-role authorization and item tracking features to optimize stock opname and purchase order workflows
LaravelMySQLPHP
NVIDIA DGX Lab Assistant
CompletedUniversitas Gunadarma
Jan 2024 — Mar 2026
- Developed and delivered Focus Group Discussion materials on machine learning optimization for 50+ participants
- Guided undergraduate students in operating NVIDIA DGX machines and debugging Python code for advanced machine learning practicums
- Co-authored AI research on heart failure classification using SVM and Firefly Algorithm Optimization, published in IRE Journals (May 2026, DOI: 10.64388/IREV9I11-1718180)
PythonMachine Learning
Core Team – Public Relations Officer
CompletedCyber Community Universitas Gunadarma
Dec 2023 — Jul 2026
- Designed digital forensics and network analysis challenges using Wireshark and memory dumps for Technofair CTF (a national competition with 30+ participants) and Hackfest (internal campus CTF)
- Organized cybersecurity competitions and delivered technical sharing sessions on memory dump analysis for university students
WiresharkNetwork Security
Technical Skills & Certifications
01
LANGUAGES, FRAMEWORKS & DATABASES
02