
4
1
Pakistan
1 year of experience
My name is Muhammad Safwan, and I’m currently pursuing a Bachelor’s degree in Electrical Engineering at UET Lahore, with a specialization in Electronics and Communication. I have a deep interest in Artificial Intelligence, Python programming, and Embedded Systems, and I’m passionate about applying these technologies to solve real-world problems. Throughout my academic journey, I’ve been focused on building a strong foundation in both hardware and software domains. I enjoy working on projects that involve microcontrollers, automation, and intelligent systems, and I’m always eager to learn new tools and frameworks in the AI and embedded space. Outside of Engineering, I’m also a sports enthusiast. Playing Badminton and Volleyball not only keeps me active but also sharpens my teamwork, focus, and strategic thinking. I’m always looking for opportunities to grow, collaborate, and contribute to meaningful tech communities and projects.

HoloMentorX is an AI-powered contract auditing and mentoring platform built for the Qubic Track, combining the speed of Groq, intelligence of Meta’s LLaMA, and modular automation via Fetch.ai agents. It enables developers to submit smart contracts and instantly receive deep audits, vulnerability analysis, human-readable explanations, and automated tests. Our architecture supports: Groq-accelerated LLaMA inference for fast, detailed contract breakdowns. Fetch.ai-based agents to modularize tasks like auditing, testing, and summarization. A clean, React-based frontend + FastAPI backend for seamless UX. Multi-agent reasoning: multiple LLM calls work together to offer an audit decision and next action. HoloMentorX aims to solve the bottleneck of slow, expensive audits—enabling safer Web3 development for all.
8 Jul 2025