ESC
⚡ QUICK TOPICS:
    PRODUCTION SYSTEMS QUANTITATIVE AI & RESEARCH ENGINES

    Engineering Projects
    & Quantitative Models

    Quantitative trading engines, deep learning models, and research systems architected for performance and scale.

    Agent Runtime

    Custos: Supervised Agent Development Environment (SADE)

    A local-first, evidence-bound runtime for autonomous AI agents enforcing deterministic state persistence, cryptographic capability …

    ai systems agentic
    GitHub Repository
    Quant Model

    Financial Fraud Detection via Conditional WGAN-GP and RL-Driven Active Sampling

    A deep active learning pipeline on IEEE-CIS transaction data combining Conditional WGAN-GP tabular generation with PPO Reinforcement …

    ai quant data reinforcementlearning
    GitHub Repository
    Quant Model

    Physics-Informed Neural Networks (PINNs) for High-Dimensional Basket Option Pricing

    Solving multi-asset Black-Scholes PDEs with hard-constrained ICPINNs, breaking the curse of dimensionality and achieving a 3,500x …

    quant ai pytorch pde
    GitHub Repository
    Production Code

    End-to-End E-Commerce Customer Churn Prediction & MLOps Pipeline

    A production-grade, reproducible Data Science and custom MLOps architecture engineered to predict customer churn with strict zero data …

    ai data mlops python
    GitHub Repository
    Production Code

    Deep Learning Old Photo Restoration & Defect Inpainting Pipeline

    A production-grade computer vision pipeline combining Resolution-Robust Large Mask Inpainting (LaMa) and CodeFormer for automated …

    ai computervision pytorch lama
    GitHub Repository
    NLP Engine

    Cross-Lingual Aspect-Based Sentiment Analysis (X-ABSA) Engine

    A comprehensive deep learning framework transferring fine-grained sentiment knowledge from high-resource English to low-resource …

    ai nlp pytorch transformers
    GitHub Repository