Projects & Research
My work focuses on Quantum Machine Learning, Quantum Utility, LLM Reasoning, and LLM Agents, combined with building production AI systems that bridge academic research with real-world applications.
Business Ventures
Building the next generation of AI-powered products at Mindify AI
Mindify Ads
In DevelopmentRevolutionary AI-powered advertising platform that acts as 'Google Ads for AI Agents'. Enabling autonomous agents to discover, analyze, and monetize opportunities across digital ecosystems.
Key Features:
- Autonomous agent discovery and analysis
- Real-time monetization optimization
- Cross-platform integration capabilities
- Advanced analytics and reporting
Mindify Cortex
BetaAI-native workspace designed for builders and creators. A comprehensive platform that integrates writing, note-taking, project management, and workflow automation in one intelligent interface.
Key Features:
- AI-powered writing and editing assistance
- Intelligent note organization and retrieval
- Automated workflow generation
- Cross-platform synchronization
Research Projects
Academic research in AI, quantum computing, and machine learning
Hybrid Quantum Neural Networks for Reinforcement Learning
PublishedDeep Q-learning with hybrid quantum neural network on solving maze problems. This research investigates the potential for quantum benefit in model-free reinforcement learning using trainable variational quantum circuits (VQC) on gate-based quantum computing models.
Publications:
Quantum Financial Simulation and State Preparation
PublishedA novel approach for quantum financial simulation using multi-Split-Steps Quantum Walk (multi-SSQW) algorithm. Enhanced simulation algorithm using parameterized quantum circuits (PQC) and variational solver to manage complex probability distributions in financial market modeling.
Publications:
Quantum Machine Learning Development Framework
Ongoing ResearchA comprehensive template and development environment for quantum machine learning research using Qiskit. Provides researchers with a standardized framework for developing and testing quantum ML algorithms with Docker-based development containers.
Publications:
Open Source
Contributing to the AI community with tools, templates, and frameworks
Quantum-Maze-DQN
Deep Q-learning implementation with hybrid quantum neural networks for solving maze navigation problems. Published research code demonstrating quantum advantage in reinforcement learning.
Quantum-ML-Dev
Development template and environment for quantum machine learning research using Qiskit framework. Includes Docker containerization for easy setup and reproducible research.
NTU Quantum Research QCNN Demo
Quantum Convolutional Neural Network demonstration utilizing MIT TorchQuantum framework. Educational implementation showcasing quantum neural network architectures.
GPT-based Quantum Language Model
World's first GPT-based quantum language model implementation. Exploring the intersection of natural language processing and quantum computing technologies.
Interested in collaboration?
I'm always open to discussing research opportunities, business partnerships, or innovative AI projects.