π Building β end-to-end ML systems: training pipelines, experiment tracking, and deployed APIs that survive production.
π― Collaborate β AI/ML, MLOps, data platforms, and research-to-production projects with real-world impact.
π€ Help me with β scaling prototypes into polished systems, ML validation, and real-world AI problem statements.
π± Learning β MLOps, LLM systems, distributed training, and system-level ML design.
π¬ Ask me about β AI engineering, ML pipelines, experiment tracking, FastAPI deployments, and building ideas from scratch.
β‘ Fun fact β I move quietly, plan deeply, and let results speak β mysterious by design π
- RecycleVision β AI-powered Streamlit app that classifies waste using a trained MobileNetV2 model: instant predictions, eco-disposal tips, chatbot support, and batch image processing.
- Eye Controlled Mouse β real-time eye tracking with MediaPipe Face Landmarker + OpenCV: cursor navigation and blink-based clicks in pure Python.