Thoriq Najmu

Mobile Developer & Web3 Explorer

Building seamless mobile experiences with Flutter and exploring the future of decentralized protocols.

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  • 紹介
    Identity

    About

    Software Engineer dedicated to architecting seamless digital experiences through innovative mobile and web development. Specialized expertise in the Flutter ecosystem and Modern Web Stacks.

    4+
    Years Exp
    12+
    Projects
    ID
    Based
    Thoriq
  • 経験
    Journey & Milestones

    Engineering Timeline

    Undergraduate Thesis & AI Security

    2025 — Present
    Solana Research

    Modeling malicious liquidity patterns (rug-pull detection) across 100,000+ Solana DEX pools using XGBoost and Explainable AI (SHAP TreeExplainer).

    XGBoostSHAPSolanaPythonOn-Chain

    DeFi Architecture & Protocol Systems

    2024 — Present
    Kenzan Finance

    Architected luxury-minimalist financial dashboard and high-precision yield tracking interface for Solana DeFi ecosystem.

    SolanaRustNext.jsTypeScriptTailwind

    Mobile Architecture Engineer

    2024 — 2025
    Pondasi Foundation / APII

    Engineered cross-platform mobile reporting systems for early childhood development with Flutter, Firebase, and offline-first state synchronization.

    FlutterFirebaseState MgmtDartAndroid/iOS

    Autonomous Risk Intelligence Hub

    2024
    BlockSage Network

    Built autonomous risk evaluation interfaces, insider wallet tracking algorithms, and gamified education points pipeline for Solana/EVM.

    Web3.jsEVMRustNext.js

    Core Maintainer & Open Source Systems

    2023 — Present
    XENØR Project & GitHub OSS

    Authoring performant React/Next.js component architectures, Framer Motion micro-interaction toolkits, and open-source utility modules.

    TypeScriptFramer MotionReactDesign Systems

    B.S. in Computer Science

    2021 — 2025
    Xenor Works

    Specialized in Distributed Systems, Artificial Intelligence, and Mobile Software Engineering. Thesis defense ready with high-impact Web3 security focus.

    AlgorithmsDistributed SystemsNetworksMachine Learning

    Technical Mentor (Mobile & Algorithms)

    2023 — 2024
    Developer Student Circles

    Mentored student developers in Dart fundamentals, Flutter clean state management patterns, and algorithmic problem solving.

    MentorshipFlutterData Structures
  • 領域
    Architectural Focus

    Engineering Domains

    Cross-Platform Architecture

    Mobile Engineering

    Protocol Execution & DeFi

    Web3 & Deterministic Systems

    On-Chain Anomaly & XAI

    Applied Machine Learning

    Focus Area

    Building fluid, cross-platform applications with complex state management, responsive micro-interactions, and offline-first persistence.

    FlutterDartAndroid SDKiOSState Management
  • 作品
    Project Spotlight

    Featured Work

    Luxury-Minimalist Wealth Dashboard

    Kenzan Finance

    A luxury-minimalist financial dashboard built with Laravel 12, React, and Framer Motion for high-precision wealth tracking.

    Laravel 12ReactTypeScriptTailwind
    Kenzan Finance
  • 開源
    Open Source

    Featured Repositories

    01rique-portofolio

    A high-fidelity, monochromatic personal portfolio built with Next.js 15 and TypeScript. Architecturally designed with a Bento Grid aesthetic and the Kodawari philosophy (こだわりの追求)

    TypeScript
    View Source
    02flutter-teacher-reporting-system
    03blocksage-project
    04v2-vrindachain
    05kusanagi-no-tsurugi
    06daltroll-meme
  • 技術
    Stack & Ecosystem

    Core Technologies

  • 事例
    Case Study / Reporting

    Pondasi Foundation
    Reporting Ecosystem

    Engineered a comprehensive mobile reporting application for early childhood development using Flutter and Firebase.

    APII App
  • 性能
    Performance Audit

    Lighthouse Verification

  • Undergraduate Research & Thesis
    Thesis Defense Ready
    2025 — 2026

    Detecting Malicious Liquidity Removal on Solana using XGBoost and SHAP

    Research Title"Modeling Suspicious Transaction Patterns on the Solana Network Using XGBoost and SHAP Algorithms Based on On-Chain Features"

    An empirical study modeling high-frequency token liquidity behaviors and fraudulent drain patterns (rug pulls) across decentralized exchanges. By combining gradient boosting with Shapley value attributions, this research delivers transparent, human-auditable risk scoring for DeFi protocols.

    Target: Solana DEX Pools
    •
    Classifier: XGBoost & LightGBM
    •
    Interpretability: SHAP (TreeExplainer)
  • Threat Landscape

    Rug Pull Epidemic

    Rapid liquidity drain on newly deployed token pools, often within hours of creation.

    Sample Pools100,000+
    Pool Lifespan< 6 Hours
    Suspicious Rate~78.4%
    Model Accuracy94.8% F1
  • Data Engineering

    Pipeline & Feature Extraction

    Extracted high-granularity transaction logs directly from Solana RPC nodes and processed time-series liquidity features.

    Raw Data
    Bitquery / RPC Nodes
    Processing
    Python, Pandas
    Key Features Engineered
    LP Token Burn RateCreator Token %Mint Authority RevokedInitial Liquidity USD
  • Explainable AI

    SHAP Interpretability

    Demystifying the &quot;black box&quot; of gradient boosting. SHAP values reveal exactly which on-chain behaviors contribute to a pool&apos;s risk score.

    LP_Burn_PercentageLow Risk
    Creator_Holding_RatioHigh Risk
  • 精神
    Principles & Core Value

    Philosophy

    Driven by the concept of Kodawari, an uncompromising pursuit of perfection. I believe software is a craft, where invisible details define the soul of the product.

  • Get in Touch

    Let's build something exceptional together.

    Have a project in mind or want to discuss engineering and architecture? Feel free to reach out directly.

  • 接続
    AvailabilityAvailable

    Open for New Challenges

    Currently considering select engineering roles, contract work, and technical advisory in Mobile & Web3.

  • 時空
    Location & Time
    BaseBandung, IndonesiaWestern Indonesia Time (UTC+7)
    Local Time
    12:00:00
    Remote / Worldwide Collaboration