SYSTEM STARTING
INITIALIZING AYHAN_CORE_v4.2.0 // DEEP_LEARNING_PIPELINE
INITIALIZING AYHAN_CORE_v4.2.0 // DEEP_LEARNING_PIPELINE
Hi, I'm Ayhan Mehrzad 👋. I'm a programmer, student, and builder dedicated to mastering AI, Deep Learning neural models, autonomous Telegram bots, and resilient enterprise platforms like ASENA.
Deep Learning
Bots & Apps
Core Load
Uptime
I am a programmer and student dedicated to building tools that solve real-world problems. My current focus is mastering AI Development, Machine Learning, Deep Learning Neural Networks, and High-Throughput Backend Architecture.
I am also the creator of enterprise platforms like ASENA (asena.company) — an integrated veterinary clinic and pharmacy management system designed with 100% self-hosted VPN-free typography and dynamic dual-engine themes.
My mission is to engineer high-impact AI systems, autonomous agents, and scalable web platforms that empower users globally.
Engineered the ASENA Veterinary Clinic & Pharmacy platform (live at asena.company), while training neural models and building SamaBot asynchronous Telegram automation.
Architected resilient backend microservices, real-time WebSocket communication channels, and secure encrypted data transmission protocols.
Started the journey by mastering computer science foundations, algorithm design, Linux server management, and building interactive web tools.
Comprehensive, live management platform for veterinary clinics, pet shops, and pharmacies. Built with 100% self-hosted VPN-free Persian typography (Vazirmatn), dynamic dual-engine themes (Pet Care Orange/Navy Suite vs. Deep Teal & Emerald Pharmacy Mode), and electronic medical health records.
Event-driven Telegram automation framework built with Python AsyncIO, supporting real-time event parsing, custom webhook webhooks, and task orchestration.
Cryptographic communication client and protocol ensuring end-to-end payload privacy, AES-GCM encryption, and safe WebSocket streaming.
Curated laboratory of deep learning vision classifiers, semantic embeddings with ChromaDB, and local LLM prompt orchestration.
Computational geometry tool in Python (land_devider.py) designed for automatic land subdivision, boundary polygon partitioning, and equitable multi-parcel calculations.
Initiate a direct handshake to discuss AI agent automation, deep learning collaboration, or full-stack platform development.
Node remains active for architectural inquiries, bot building, and AI collaborations.
Description