Building the bridge between high-level LLM orchestration and low-level hardware.
Technical Intern @ TCE — Mastering developer productivity tools like GitHub Codespaces and Copilot while building internal utilities. My focus is on streamlining engineering workflows through AI-driven automation.
Robotics & Embedded Systems — Currently developing a voice-controlled robotic platform. I believe that for AI to be truly useful, it must interact with the physical world through efficient, local inference.
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Lead Developer — Voice-Controlled LLM Robot Architecting a multi-layered platform using Raspberry Pi 4 and Arduino Mega. By integrating Ollama (Llama/TinyLlama), I'm enabling real-time voice command processing without relying on cloud APIs. |
Technical Intern — Inventory & Logic Building automated systems using AppSheet to manage complex stock tracking and audit logs. I focus on turning low-code platforms into high-reliability business tools for inventory management. |
| Experience | Focus | |
|---|---|---|
| 🤖 | Robotics Integration | Raspberry Pi 4 + Arduino Mega hardware stacks |
| 🧠 | Agentic AI | Local LLM orchestration via Ollama & Python |
| 💻 | BCA Final Year | Academic focus on Software Engineering & Data Systems |
"Turning complex hardware challenges into intelligent, automated solutions through context-aware AI."
Voice-Controlled Robotics Stack (Spring 2026)
Local LLM Inference | Motor Control | Raspberry Pi OS
📄 [Hardware Logic Architecture] | [Software Environment Setup]
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Agentic AI Embedded Systems LLM Inventory Logic App developement ML Algorithms
Languages & AI
Hardware & Embedded
Tools & Productivity