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kumawat-aditya/README.md

Aditya Kumawat

AI/ML Systems Engineer · Quantitative Infrastructure · Backend Systems

Designing production-grade intelligent systems focused on execution reliability and performance constraints.

🌐 Portfolio: portfolio-link

Core Domains

Quantitative Research
Real-Time Signal Execution
Large-Scale Time-Series Pipelines
Backend Architecture (Spring Boot)
Automation Infrastructure

Tech Stack

Languages C++ Java Python MQL4/5 JavaScript

Backend Spring Boot REST APIs WebSockets MySQL

ML / Data XGBoost Decision Trees Feature Engineering Pandas

Infrastructure Linux Git Signal Servers Automation Systems

Selected Engineering Work

  • AI-based strategy discovery using Decision Trees / XGBoost
  • 500M+ row feature engineering pipeline
  • Live execution trading systems
  • Telegram-based signal distribution infra
  • Cross-platform AI assistant with system-level integration

GitHub Activity

Engineering Philosophy

  • Measure before optimizing
  • Automate before scaling
  • Build for failure
  • Prefer clarity over cleverness

Connect

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  1. elisa-assistant elisa-assistant Public

    Local-first modular voice assistant with Rasa, FastAPI, and Whisper — designed for privacy, extensibility, and clean system architecture.

    Python

  2. Quant-Discovery-Pipeline Quant-Discovery-Pipeline Public

    High-performance ML pipeline for automated discovery of quantitative trading strategies using Numba JIT, XGBoost, and Decision Tree rule mining.

    Python

  3. rubix-cube-solver rubix-cube-solver Public

    Rubik's Cube Solver in C++: Welcome to my Rubik's Cube Solver program! This C.F.O.P (Cross, F2L, OLL, PLL) based solver is designed to efficiently and quickly solve a Rubik's Cube within an astonis…

    C++ 2

  4. stella stella Public

    A full-featured RESTful e-commerce backend built with Spring Boot 3. Supports JWT auth, multi-vendor dashboards, file uploads, and Razorpay payments.

    Java 3

  5. Classical-NLP-Command-Parser Classical-NLP-Command-Parser Public

    This project is a sophisticated Python script designed to parse natural language commands into a structured, machine-readable JSON format.

    Python

  6. elastic-dca-trader elastic-dca-trader Public

    Full-stack algorithmic trading engine for MetaTrader 5 featuring elastic DCA execution, automated hedge locking, and a decoupled Python state engine with real-time React control dashboard.

    Python