Mohammed Al-Fazal User

I’m a B.E Electronics and Communication Engineering student (2023–Present) focused on building intelligent systems that perform reliably in real-world conditions. In my internships, I engineered mission-focused sensor and connectivity solutions, and I’m driven by measurable impact—speed, accuracy, and efficiency.

At CopterCode, IIT Madras Research Park, I engineered satellite sensor systems and improved real-time data acquisition speed by 30% while maintaining accuracy for mission-critical use. I also implemented LoRa protocols for long-range, low-power IoT connectivity, optimizing hardware-software integration for a 40% efficiency boost and reduced power consumption. Earlier at Litz Tech, I designed wireframes, interactive prototypes, and UI assets, collaborating with developers and PMs to reduce design-to-development turnaround by 20%.

My projects center on agentic AI and embedded communication: Baymax V1.2 is a Conversational AI Agent with voice interface using Python, Groq API, LangChain, and LLaMA 3.3 70B, including persistent memory and real-time voice I/O. I built an AI Q&A Agent with LangGraph state-graph architecture for autonomous multi-turn query resolution, and I developed an Emergency Vehicle Path Reconfiguration prototype using ESP32, LoRa, and Li-Fi with 98% reliable delivery via ACK validation. I’m energized by learning (currently “AI Agents in LangGraph” with DeepLearning.AI) and by building solutions that earn trust—like my 1st Place MEG Hackathon 2024 IoT prototype.