About

Researcher specialized in machine learning, combinatorial optimisation, Blockchain, DAO, and explainable AI, with peer
reviewed publications cited 27 times and a top-ranked MSc thesis in biomedical GAIT pattern recognition. Experienced in
designing ML pipelines for anomaly detection and computer vision, with a foundation in discrete mathematics, algorithm design
for healthcare, ANN, CNN and distributed systems applications. My research philosophy focuses on root cause analysis and
unbiased analytics of the subject matter with visual distribution for authenticity. Currently targeting PhD research in efficient
ML inference, neuromorphic computing and HPC.

Employment

Education

Projects & Funding

Projects & funding information is unavailable.

Publications (8)