Aoun Raza@aounraza379

Edge-Guard is a policy-driven AI routing system designed for edge intelligence workloads that need to balance performance, privacy, and reliability. Instead of sending every inference request to a single destination, it evaluates runtime conditions and policy constraints to decide whether the request should run locally on the edge, fall back to the cloud, or degrade safely when cloud use is not permitted. The system considers factors such as local latency, execution success, structured output validity, and privacy requirements before choosing the best path. It also provides transparent decision telemetry, benchmarking across routing strategies, and an interactive dashboard for testing different scenarios. In short, Edge-Guard helps organizations deploy AI at the edge with safer fallback behavior, better control over data movement, and clearer policy-based decision making.

DevLens is a developer experience (DevEx) and repository intelligence platform engineered to eliminate the friction of codebase onboarding and team collaboration bottlenecks. Built in an intense solo sprint, the platform combines structural code static analysis with human factor sentiment tracking to provide a holistic engineering health checkpoint. The application works across three synchronized core engines: 1. Team Sentiment Engine: Uses lightweight local NLP text-polarity scoring over Git commit histories and PR comment logs to visually map team collaboration trends and isolate friction or developer burnout signals. 2. Architecture Summarizer: Recursively scans local directories across 20+ programming languages to extract functions, classes, and modular relationships while automatically scoring code components into Low, Medium, or High complexity hotspots. 3. Playbook Generator: Connects to the Groq SDK (Llama 3.3 70B architecture) to instantly synthesize all background metrics into a comprehensive Markdown and HTML onboarding manual covering architectural workflows, setup commands, and key entry points. DevLens proves how a single developer utilizing agentic AI collaboration can rapidly build resilient, multi-tiered enterprise tooling.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.