This isn't just an order book; it's a complete, multi-threaded market ecosystem built from the ground up in modern C++. It simulates the complex, high-speed dynamics of a real financial exchange, proving out advanced concepts in concurrency, systems design, and quantitative strategy.

• Advanced Matching Engine: A high-speed, single-writer matching engine that processes orders with zero lock contention, ensuring maximum throughput.
• Multi-Threaded Agent Ecosystem: A diverse set of AI agents (HFT, Momentum, TWAP, Market Maker, Retail) that trade concurrently, each with unique strategies, risk management, and inventory skew logic.
• Lock-Free Concurrency: Implements a sophisticated, lock-free double-buffering pattern to feed market data to the GUI, allowing the simulation and visualization to run in parallel without ever blocking each other.
• Realistic Microstructure: Agents simulate real-world HFT strategies, like dynamic spread quoting based on volatility, creating a living, breathing, and realistic market environment.

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Engineered a functional CPU from first principles using only AND/NOT gates and a custom-implemented assembly language.

• Features a comprehensive CLI for program loading.
• Includes step-by-step debugging, register status monitoring, and full execution control.
• Provides a solid foundation for educational tools, hardware simulation, or low-level system research.

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Built and optimized several types of CNN algorithms (PSO, PO, RIME, AVOA) for the detection and classification of Exon segments in human DNA.

• Part of an ongoing research project.
• Currently in the process of getting a research paper approved under a research guide.

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A personal project to understand cross-platform development by porting a Windows-based OpenGL engine to macOS.

• Reworked the entire windowing, input, and rendering backends to be platform-agnostic.
• Demonstrates adaptability in systems-level engineering and low-level graphics APIs.
• Serves as a foundation for future cross-platform game engine development.

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A collection of high-performance models and simulations for financial derivatives and market analysis.

A real-time, collaborative retail cart system built with Flutter for cross-platform mobile deployment.

• Allows multiple users to add items to a shared cart in real-time.
• Uses a cloud database (like Firebase) to sync state across devices instantly.
• Designed for a seamless and modern in-store shopping experience.

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An LLM-based web application for the preliminary diagnosis of ADHD, developed for the Electra 2024 hackathon (Winner).

• Utilizes a fine-tuned large language model to analyze user-provided inputs.
• Built with a lightweight Flask backend to serve the model and a simple frontend for interaction.
• Demonstrates the application of modern AI techniques to solve real-world healthcare challenges.

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A web platform for creating and managing custom contract betting among users, built with Django.

• Leverages the Django framework for rapid development, including user authentication, database management, and a robust backend.
• Allows users to define the terms of a bet, set stakes, and resolve outcomes.
• Explores concepts of peer-to-peer agreements and web-based financial interactions.

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