Nihal Ali@nihalali41998649

Events attended

Submissions made

Pakistan

2+ years of experience

About me

I am an Artificial Intelligence undergraduate at the FAST School of Computing (NU) in Karachi, specializing in computer vision and visual understanding. As a builder and researcher, my focus is on designing scalable, ethical AI systems—specifically in the realms of Agentic AI, MLOps, and multi-agent workflows. Currently, I serve as a Student Teaching Assistant for the Fundamentals of Computer Vision course, where I enjoy breaking down complex theoretical concepts into practical, real-world applications. I love taking projects from conceptualization all the way to deployment. A few of my recent end-to-end projects include: EcoAbsorb.ai: A climate tech initiative leveraging AI to optimize urban flood management and water reuse zones. ListenPartner: A multilingual, emotionally intelligent conversational AI system built with a strong emphasis on user safety and mental well-being. AMB-200: A multi-agent verification pipeline engineered to benchmark and reduce LLM hallucinations. Whether it's architecting automated deployment pipelines or prioritizing emotional safety in tech, I am passionate about building AI that solves tangible problems. Outside of the lab and the terminal, I'm a massive cricket fan—both playing on the pitch and building predictive models for T20I match outcomes! I’m always eager to connect with fellow AI researchers, developers, and tech innovators. Let's build the future together.

Socials

👌 Attended Hackathons

AMD Developer Hackathon

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.