Welcome to my GitHub profile! Here's a snapshot of my professional journey and areas of expertise:
- Professional Background: With 20 years in IT development, I specialize in the intersection of medicine and technology.
- Research Interests: Engaged in brain-computer interfacing and neural interface studies, exploring direct communication pathways between the brain and external devices.
- Network Security: Proficient in network penetration testing, identifying and mitigating potential security vulnerabilities.
- Decentralized Networks: Early adopter and contributor to decentralized open-source networks, with a deep understanding of BitTorrent and private networking technologies like I2P and TOR.
- Cryptocurrency: Pioneer in Bitcoin and Monero, with extensive knowledge of blockchain technologies and market dynamics.
- Blockchain Development: Early developer for TON Proxy Network and TON, focusing on decentralized applications and blockchain infrastructure.
- Artificial Intelligence: Expertise in CNN, RNN, DQN, and NLP models, with a keen interest in large language models (LLM) and text-to-image generation.
- AI in Biomedical Research: Applying AI-driven methodologies to biological research, advancing personalized medicine and predictive analytics.
- Programming Languages: Python π, JavaScript π¨, C++ β, Java β, Go π¦
- Frameworks & Libraries: TensorFlow π€, PyTorch π₯, Keras π§ , React βοΈ, Node.js π
- Tools & Platforms: Docker π³, Kubernetes βΈοΈ, AWS βοΈ, Azure π©οΈ, Git π¦
- Databases: MySQL π¬, PostgreSQL π, MongoDB π, Redis π§
- Networking Protocols: TCP/IP π, HTTP/HTTPS π, WebSocket π
- Security Technologies: OWASP π‘οΈ, Penetration Testing π΅οΈββοΈ, Cryptographic Algorithms π
- Brain-Computer Interface Research: Developed EEG-based systems facilitating direct communication between the brain and external devices. π§ π»
- Decentralized File Sharing: Contributed to platforms leveraging P2P technology to enhance file transfer efficiency and security. ππ
- Cryptocurrency Exchange Platform: Built decentralized exchanges supporting various cryptocurrencies, focusing on security and user experience. π°π
- AI-Driven Genomic Analysis: Utilized deep learning models to analyze genomic data, aiding in disease risk prediction and personalized treatment plans. π§¬π€
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