PhD — Hydrological Modelling & Machine Learning

University of Birmingham, United Kingdom

MTech — Water Resources & Ocean Engineering

NIT Karnataka, India — First-Class Honours

BTech — Civil Engineering

Sant Gadge Baba Amravati University, India — First-Class Honours

Doctoral Researcher — University of Birmingham

• Developing a Physics-Informed Machine Learning (PIML) framework for streamflow and reservoir modelling using the CAMELS-GB dataset.
• Designing a signature-enhanced hybrid modelling framework to improve interpretability and robustness across regulated and heterogeneous catchments.
• Oral presentation at EGU 2025 — Bridging Physics and Machine Learning: A Signature-Enhanced Hybrid Framework for Streamflow Prediction in Complex Catchments.

Graduate Engineer — Arcadis Consulting India

• Built optimised hydraulic models for drainage networks using Micro Drainage, Civil Storm, and Open Roads (Drainage).
• Coordinated with BIM modellers to ensure CAD QA-compliant drawings.

ELLIS Summer School on AI for Earth & Climate Sciences

Explored machine learning applications in Earth and climate systems, connecting directly with PhD research on physics-informed ML for streamflow prediction.

HBV Model Training

Hydrological Modelling & Data Science Workshop