I build intelligent systems that help experts make better decisions.
I'm Sonakshi — an AI/ML engineer and researcher in CS & Data Science. I ship working systems across medical AI, energy, and agentic tools, and I study the questions behind them. I learn fast, work well solo or on a team, and care more about augmenting expert judgment than replacing it.
Current focus
Three threads at onceAgents that show their work
Tool-using systems you can audit step by step, not black boxes you have to take on faith.
Forecasting that owns its uncertainty
Energy and time-series models that arrive as a calibrated decision, not just a number.
Medical AI a clinician can interrogate
Explanations that work as a clinical instrument — auditable, grounded, and honest about doubt.
Featured projects
All projects →IntExR
Interpretable, evidence-grounded reasoning for clinical decision support.
Research 002Energy System Research
Calibrated probabilistic load forecasting with synthetic augmentation.
Research 003Market Sentiment Prediction
A human-in-the-loop NLP pipeline turning noisy text into decision-ready signals.
EngineeringFeatured research
All research →Explainable Medical AI
Systems that surface auditable, evidence-grounded reasoning a clinician can interrogate before they act.
Energy Systems & Forecasting
Probabilistic forecasting and synthetic time-series for grid operators making consequential, time-pressured calls.
I'm sitting with
When an expert and a model disagree, who should win — and how do we design the moment that decides?
Read where this is going →A quick timeline
Let's build something worth trusting.
Open to research collaborations, internships, and conversations about human-centered AI.