Muskan Madaan

Developing AI/ML solutions across 5+ aerospace research directions, including flight-object classification, trajectory prediction, flight dynamics, sensor fusion, and state estimation. Building data pipelines and evaluating machine learning models using Python, Pandas, NumPy, MATLAB, and Ansys STK. Experimenting with CNNs, LSTMs, GRUs, Random Forest, XGBoost, and Physics-Informed Neural Networks (PINNs), alongside LoRA/QLoRA for specialized model adaptation and reproducible experimentation.

Developed and improved 8+ AI/ML solutions and 10+ automation workflows across healthcare, insurance, and enterprise operations. Contributed to automation initiatives reporting a 40% reduction in manual effort and a 30% reduction in manual data handling. Built OCR-based document extraction and validation, classification pipelines, retrieval-augmented generation (RAG), and multi-agent workflows using Python, FastAPI, C#/.NET, SQL, LangChain, LangGraph, and LLM platforms. Integrated APIs and business rules, implemented confidence-based review and automated testing, and evaluated outputs to improve reliability and reduce unsupported responses.

Researched emergency blood distribution and resource allocation across 25 healthcare centres in British Columbia. Applied mathematical optimization and data analysis using Python, Pandas, and NumPy to evaluate allocation decisions under demand, traffic, and weather uncertainty. Used multi-objective optimization, Pareto analysis, scenario testing, and sensitivity analysis to compare cost and service trade-offs and support data-driven planning.

Supported 60+ students studying Python, C++, object-oriented programming, data structures, and algorithms. Helped students debug code, understand programming concepts, and strengthen problem-solving skills through technical guidance, assignment feedback, and practical programming support.

Managed business reporting and supported daily operations across 2 locations, preparing daily and month-end reports using Excel and QuickBooks. Tracked sales, inventory, purchasing, invoices, and expenses to support operational decisions and inventory planning. Trained 5+ team members and contributed to reporting accuracy, replenishment, and store performance monitoring.