I'm a self-taught developer and a hands-on creator! My programming journey began at the age of 17 while studying electronics. I delved into crafting my own do-it-yourself projects using open-source hardware and software. Over time, my focus shifted from writing firmware for chips to software development.

Being a tech enthusiast, I expanded my skill set across multiple domains — from Firmware development in C/C++, IoT hacking with Linux, to full-stack web development and cross-platform apps using Dart. In recent years, I have been deeply involved in Data Science, AI Engineering, Agentic AI systems, and model fine-tuning workflows using Python.

Alongside this, I actively explore and contribute to the smart home ecosystem — building reliable, self-hosted automation systems and integrations that bridge hardware and software seamlessly.

Feel free to explore my repositories - I hope you discover something truly intriguing! 👍

#TechStats	#StayTuned

• Started working as a Senior Software Engineer - Data Science at Energy Exemplar ⚡
• Certified AWS Machine Learning Specialty ☁️
• Certified Google Cloud Professional Machine Learning Engineer ☁️
• Started working as a Data Scientist at CloudCover 👨‍💻
• 8,000+ Downloads of Screeni-py
• Research Paper published in IEEE 👨‍🔬

My core expertise revolves around:

• Machine Learning, Deep Learning, and Image Processing
• Agentic AI systems and LLM-powered workflows
• Model fine-tuning and dataset engineering
• Python-based data pipelines and experimentation frameworks

In parallel, I actively contribute to and build within the smart home and self-hosting space:

• Developing and contributing to Home Assistant integrations and custom components
• Working with MQTT-based architectures for reliable device communication
• Contributions and experiments around Zigbee, Tuya-local, and device reverse engineering
• Building automation systems focused on occupancy detection, adaptive lighting, and energy optimization
• Creating bridges and integrations for devices like Panasonic MirAIe and Atomberg fans
• Createing HomeLab Proxmox-based virtualization (LXCs + VMs) for Media/Streaming and AI DevTools
• Home Assistant as central automation engine for my entire house

I prefer sharing my workstation & homelab setup, just in case if you're interested. Over time, this has evolved into a hybrid setup powering both AI workloads and self-hosted automation systems. 😍

Thanks for stopping by! 😃