Cross-platform Universal Control pipeline between macOS (AirDrift) and Android (DroidDrift) allowing mouse and keyboard sharing.
Kotlin Jetpack Compose client for AirSync. Features custom notification listeners, QR authentication, and a background active-toggle system.
Fine-tuned RoBERTa models and data pipelines for fallacy classification, achieving 80.65% Test F1 using inverse-frequency weighting & threshold calibration.
A hybrid quantum-classical machine learning algorithm for event classification in high-energy physics using Variational Quantum Circuits.
A robust data pipeline and semantic search system designed to extract and clean datasets for NLP models.
Contributed to SpotiFLAC: resolved API resolver validations and implemented robust token auto-renewal mechanics.
Co-authored the machine learning pipelines and statistical models for assisting optimal resource re-distribution.
Explore all my other data pipelines, quantum computing setups, and open-source contributions.
A passionate Data Scientist bridging the gap between theoretical physics and applied machine learning. Transitioned from B.Sc. in Physics to M.Sc. in Data Science at DAU (formerly DAIICT) to study Neural Networks' ability in understanding Logical Fallacies using the CoCoLoFa dataset.
If you have any questions or want to work with me, feel free to connect via my email or view my resume.