Hoor-ul-Ain

Content Engineer at TechnoGenics SMC PVT Ltd

Designed gold-standard response templates to guide AI and agent AI behavior across success, failure, and high-stakes scenarios, ensuring consistent, context-aware, and human-centric interactions on web and mobile platforms. Restructured JSON/YAML workflows within Rasaa architecture to enhance system scalability and conversational experiences. Implemented multi-turn AI response systems using Ollama, enabling four distinct conversational styles that adapt to diverse user personas and security use cases, boosting engagement and trust, and tailoring interactions to user expectations. Evaluated end-to-end conversational decision flows, tracing AI reasoning paths to ensure predictable, explainable behavior and identifying gaps and potential failure points in autonomous agent task structures. Conducted end-to-end AI behavioral testing across web and mobile, validating new features, action-centric intents, and critical security edge-case scenarios, and authored release notes and sales document

Research Intern at School of Interdisciplinary Engineering & Sciences, NUST

Conducted predictive modeling on three academic datasets using machine learning (Random Forest, LightGBM, XGBoost, K-Means Clustering) and deep learning (ANN, MLP) techniques. Performed exploratory data analysis, feature engineering, and hyper-parameter tuning, achieving 50% improved accuracy rates. Collaborated with doctoral candidates to design methodologies, assess results, and document findings for academic projects.