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parkuskus/README.md

Hi, I'm Aufar πŸ‘‹

I'm an Informatics Engineering student at Institut Teknologi Bandung, focused on Machine Learning, Computer Vision, and AI Engineering. I'm eager to learn and always chasing new challenges!

Top Projects

  • Face Anti-Spoofing Detection β€” 6-class face anti-spoofing classifier (DINOv3 ViT-Large, multi-sample dropout, focal loss, TTA) β€” Finalist, DAC Find IT! 2026 (UGM).
  • LLM Sentiment Analysis β€” multilingual sentiment classifier across 6 LLM platforms (fine-tuned XLM-RoBERTa, combined loss, Stratified K-Fold) β€” Best Coder, DAC PRS ITS 2025.
  • CARVE: Content-Aware Image Retargeting β€” original seam-carving framework combining gradient, local variance, and forward energy in a unified dynamic programming recurrence. Co-authored paper.
  • Pothole Segmentation β€” pixel-level road damage detection using MAnet (mit_b3 encoder), combined Dice/Tversky/Focal loss, and multi-scale TTA.
  • Trip Label Prediction β€” ride-hailing anomaly classifier (Safety, Navigation, Service, Fraud) using a two-stage LightGBM cascade with threshold tuning.
  • Health Insurance Claim Trend Forecasting β€” ensemble forecasting (Bayesian + ARIMA + LSTM) for claim frequency, severity, and total cost.
  • Football Score Prediction β€” time series regression using LightGBM Poisson with chronological feature engineering.
  • Traditional Indonesian House Classification β€” 5-class image classifier (ResNet50 fine-tune + TTA) for traditional Indonesian houses.
  • Banana Republic Game β€” desktop settlers-style strategy game (Java/JavaFX) with a plugin architecture for swappable map generators and bot strategies.
  • MAGI System: OSI Layer Network Simulator β€” modular C++ simulator for OSI layers L2–L7; contributed the application layer (DHCP, DNS, HTTP servers, NAT/PAT, firewall).
  • SingularLib β€” full-stack book discovery app with search powered by from-scratch linear algebra (TF-IDF + SVD/LSA for text, PCA for image similarity), no ML libraries.

More Projects

  • DOM Traversal Visualizer (BFS & DFS) β€” Go backend for tracing BFS/DFS through a DOM tree via CSS selectors, exposed via REST API, deployed on Azure with Docker Compose.
  • Arion Language Compiler β€” full C++17 compiler for a Pascal-based language: lexer, recursive descent parser, semantic analysis, and a P-machine interpreter.
  • AirBnB Cost Prediction β€” price regression using an XGBoost/CatBoost/LightGBM/RF/DL ensemble.
  • Kalkulator Matriks dan Geometri (Algeo 1) β€” Java linear algebra solver covering SPL (Gauss, Gauss-Jordan, Cramer, Inverse), determinants, polynomial/Bezier interpolation, and regression.
  • Battlecode 2026 Greedy Bots β€” three greedy-algorithm bots (balanced, offensive, coverage-maximizing) for the Battlecode strategy game, built in Java/Gradle with a full LaTeX report.
  • Nimonspoli β€” feature-complete C++17 Monopoly-inspired board game with CLI/GUI modes, a bot player, save/load, and a transaction logger.
  • OctoVox β€” Go program for voxelizing 3D OBJ models via an octree (Divide and Conquer), with interactive 3D visualization and export.
  • Ice Sliding Puzzle Solver β€” C++ pathfinding solver using UCS, GBFS, and A* with multiple heuristics, plus an SFML-based GUI.
  • Judol Detector β€” TypeScript Chromium extension detecting online gambling content via KMP, Boyer-Moore, Aho-Corasick, fuzzy matching, and OCR.
  • Queens Game Solver β€” Java brute-force solver for LinkedIn's Queens puzzle with a JavaFX GUI and image-based board input.
  • Subgroddit β€” C-based CLI forum app inspired by Reddit, built with custom ADTs (graph, tree, linked list) for users, posts, comments, and voting.
  • Proxivity β€” JavaFX personal health tracker for food/activity logging, calorie targets, weekly trends, and PDF report export.
  • RSA/AES DBMS Encryption β€” Python GUI database system securing user data with a hybrid AES + RSA encryption scheme.
  • Pokemon! (Prolog) β€” Prolog-based Pokemon game simulation with catching, battling, and a healing center system.
  • Nimons Hospital! β€” C-based hospital administration system supporting patient, doctor, and manager workflows.

Tech Stack

ML/DL: PyTorch, TensorFlow, Hugging Face Transformers, timm, segmentation-models-pytorch, scikit-learn, LightGBM NLP/LLM: XLM-RoBERTa, IndoBERT, Qwen, SHAP Deployment: FastAPI, Docker, Azure Backend/Frontend: PostgreSQL, React, Next.js, Go

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