Projects

Embedded AI system combining real-time gesture recognition, computer vision and a fine-tuned LLM for domain-specific dialogue, with GPU latency tuning and Human-in-the-Loop robustness.

Lead author of an accepted HRI paper on an optimized real-time computer-vision architecture for gesture recognition, integrating MediaPipe landmarks, lightweight ML classifiers and low-latency robot actuation.

Deep-learning OCR pipeline converting legacy hand-drawn 2D engineering sketches into structured machine-readable data for industrial workflows.

Won a Kaggle-style machine learning challenge by building a classifier to assess whether SME loan applications should be accepted or denied, optimized with Macro F1-Score.

Analyzed a noisy three-variable dataset and selected a meaningful partitioning through exploratory analysis, cluster-number estimation and DBSCAN hyperparameter search.