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Pakistan
2+ years of experience
I'm a driven third-year Computer Systems Engineering student at NED University with a strong passion for Artificial Intelligence and intelligent automation. My focus lies in AI Agents, Retrieval-Augmented Generation (RAG), and LangChain, and I aim to build adaptive systems that create real-world impact. I’ve built a solid foundation in Python, Data Structures, and Algorithms, solving 130+ LeetCode problems. My hands-on experience includes developing an AI-powered fitness app using LLMs during the "Raise Your Hack" hackathon by Lablab.ai. I've also completed virtual internships at Deloitte (Data Analytics) and CodeAlpha (Python Programming), gaining real-world exposure to data analysis and software development. To stay ahead, I’ve earned certifications in AI, RAG pipelines, and vector databases like Chroma DB and FAISS from Coursera and DataCamp. I’m currently seeking AI/ML Engineering or AI-focused Software Development roles where I can contribute to cutting-edge projects and collaborate with forward-thinking teams.

Ultimate Fitness Planner is a web-based enterprise wellness platform designed to enhance employee well-being through AI and agentic automation. Built with Streamlit, integrated with Firebase, and powered by Fetch.ai uAgents and Groq’s Llama 3, this tool personalizes fitness and nutrition plans based on user health metrics and activity history. What makes our project unique is the autonomous wellness nudge agent that checks for inactivity (via Firestore) and proactively sends motivational messages without user prompts. This agentic workflow supports the future of work by improving engagement and reducing burnout in a scalable, intelligent way. We designed this with enterprise HR and wellness teams in mind—providing dashboards, progress tracking, and multi-user support for real-world corporate use. The app promotes healthy habits while saving time and effort for managers and employees alike. ⚠️ Deployment Note: Due to a credit card verification issue with Vultr, we were unfortunately unable to deploy the app on Vultr’s infrastructure, despite repeated attempts. This was caused by payment processor limitations or international transaction blocks, which are unfortunately beyond our control. We understand Vultr deployment is a core requirement of this track and made every effort to comply. However, we hope our detailed architecture, use of cloud-native design, and agentic workflow still demonstrate alignment with the goals of the challenge.
8 Jul 2025