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[ 01 / 09 ]Computer Science (Intelligent Systems) Student

Aaron NikolasTondosaputro.

Computer Science student focused on Intelligent Systems — building ML models that are explainable and useful.

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Semester
5
University
BINUS
GPA
3.67 / 4.00
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[ 02 / 09 ]About

Models that explain themselves.

Portrait of Aaron Nikolas Tondosaputro

I'm a fifth-semester Computer Science student at BINUS University, specializing in Intelligent Systems. I'm drawn to the point where machine learning meets real-world problems — from detecting melanoma with explainable deep learning, to predicting loan defaults on over a million transactions, to building systems that automate e-commerce dispute resolution.

I care about models that are not only accurate but also interpretable and leak-free. Beyond code, I've led recruitment and member development as an HR staff at BINUS Computer Club (BNCC) and supported stage operations at tech events, which taught me how to work with people as much as with data.

I'm currently looking for opportunities to apply and grow my skills in machine learning, data science, and AI engineering.

Semester
5
University
BINUS
GPA
3.67 / 4.00
Focus
Intelligent Systems
Indonesian
/ Native
English
/ TOEFL ITP 617

How I work

  1. 01AccurateResults that hold up on data the model has never seen.
  2. 02InterpretableEvery prediction should come with a reason a person can check.
  3. 03Leak-freeStrict temporal boundaries so evaluation reflects reality.
  4. 04People-firstWorking with people matters as much as working with data.
[ 03 / 09 ]Tech Stack

Tools I build with.

Languages & DB

  • Python
  • Java
  • JavaScript
  • C
  • SQL (PostgreSQL)

Frameworks

  • PyTorch
  • TensorFlow
  • FastAPI
  • React.js
  • REST APIs
  • XAI (Grad-CAM)

Tools

  • Git
  • GitHub
  • Docker
  • VS Code
  • Anaconda
[ 04 / 09 ]Publication & Research

Research.

Featured

ICORIS 2026 / 25–26 September 2026

Enhanced Skin Lesion Classification for Melanoma Detection Using EfficientNet-B3 and Convolutional Block Attention Module (CBAM) with Explainable AI

8th International Conference on Cybernetics and Intelligent Systems, IEEE Indonesia Section — Universitas Teknologi Bandung

Role
Co-Author & Presenter
Co-authors
Nadya Salsabila, Justin Lysander Setiawan, Irene Anindaputri Iswanto, Arya Krisna Putra
  • PyTorch
  • EfficientNet-B3
  • Grad-CAM (XAI)
  • 82.97% accuracy
  • 80.2% recall
ICORIS 2026 presenter certificate
[ 05 / 09 ]Selected Work

Projects.

  • ScanTok claim form interface
    01

    Team Lead / Top 50 — AIC COMPFEST 2026

    ScanTok Auto Dispute System

    Automated dispute management system for e-commerce damage-claim resolution: users submit a damage story and an unboxing video as evidence.

    Led the team, managed code architecture and background workflows.

    • Team Lead
    • AIC COMPFEST 2026
    GitHub for ScanTok Auto Dispute System (opens in new tab)
  • SHAP feature importance and beeswarm plots
    02

    Bank Credit Risk Prediction

    Engineered 10+ temporal financial features from 1M+ transactions in PostgreSQL; trained XGBoost credit default models reaching 0.839 ROC-AUC and 0.673 PR-AUC, with strict temporal cutoff boundaries to prevent data leakage.

    Explainability with SHAP (feature importance + beeswarm). Top drivers: payments, n_trx, min_balance, avg_bal_last3m.

    • PostgreSQL
    • XGBoost
    • SHAP
    GitHub for Bank Credit Risk Prediction (opens in new tab)
  • BBC News Summarizer app interface
    03

    BBC News Summarizer

    Streamlit app that summarizes English news articles with a fine-tuned DistilBART (abstractive) model, with a model selector.

    Compares extractive models (MMR with bias and TextRank with bias) against abstractive models (fine-tuned DistilBART and fine-tuned T5).

    • Streamlit
    • DistilBART
    • T5
    • MMR
    • TextRank
    • NLP
    GitHub for BBC News Summarizer (opens in new tab)
[ 06 / 09 ]Experience

Experience.

  1. 01 / Oct 2024 – Oct 2026

    HRD Staff & Activist

    BINUS Computer Club (BNCC) / Bandung / Jakarta

    • Led candidate screening for BNCC 37, evaluating applicants for organizational fit
    • Curated internal development programs and HR initiatives based on member needs
    • Managed member engagement, talent workflows, and cross-divisional performance
    • Organized internal bonding events

  2. 02 / Oct 2025

    Event Committee & Stage Operator

    AMD LevelUp Next-Gen: Where AI Meets Play / Bandung, West Java

    • Supported stage and AV operations for the AMD Ryzen AI in game development showcase
    • Assisted MCs and guest speakers to ensure smooth program execution and audience flow
[ 07 / 09 ]Certificates

Certificates.

  • Research / Sep 2026

    ICORIS 2026 (IEEE Indonesia Section), Universitas Teknologi Bandung

    Author of: Enhanced Skin Lesion Classification for Melanoma Detection Using EfficientNet-B3 and CBAM with Explainable AI.

  • Competition / Jul - Sep 2026

    COMPFEST

    Certificate of Appreciation as a participant. Competed as Team Lead with the ScanTok Auto Dispute System.

  • Course / Mar 2026

    Microsoft, BINUS University, GreatNusa

    Certificate of Completion, 15 hours of learning in the Microsoft Elevate AI Training Session.

    ID 111541121822527/GreatNusa/III/2026

  • Organization / 2024/2025 academic year

    Bina Nusantara Computer Club (BNCC) Bandung

    Certificate of Completion for contribution and participation as HRD Activist.

    ID 001/ALL/III/AKTIVIS/BNCC/BDG/XXXVI/04.2026

  • Course

    Oracle Corporation (Oracle Dev Gym)

    Certificate of Excellence, graded 100%.

[ 08 / 09 ]Education & Milestones

My Journey.

  1. 01 / 2024

    Started B.Sc. Computer Science at BINUS

    Specialization in Intelligent Systems.

  2. 02 / Oct 2024

    Joined BINUS Computer Club (BNCC)

    HRD Staff & Activist.

  3. 03 / Oct 2025

    AMD LevelUp Next-Gen

    Event committee and stage operator.

  4. 04 / 2026

    Top 50 — AIC COMPFEST 2026

    Team lead for ScanTok Auto Dispute System.

  5. 05 / Sep 2026

    Presented at ICORIS 2026

    Melanoma detection with explainable AI.

  6. 06 / 2028

    Expected graduation

    B.Sc. Computer Science, GPA 3.67 / 4.00.

[ 09 / 09 ]Contact

Let's build something together.

aaronikolast@gmail.com
Email GitHub LinkedIn
What do you work on?
Machine learning, explainable AI, data science, and applied AI systems.
Where are you based?
Indonesia, open to remote.
Open to collaborate?
Yes. I'm looking for opportunities in machine learning, data science, and AI engineering.
Best way to reach you?
Email. LinkedIn works too.

Opens your email app with the message filled in.