I'm Abhinav Annareddy. I'm building CarbonLens — an AI-powered fair-value calculator for the Voluntary Carbon Market. It tells corporate buyers if the price a broker just quoted is reasonable. Nobody else does this.
The voluntary carbon market is worth two billion dollars a year, growing to fifty by 2030. Companies are pouring money into offsets and have no honest way to know if they're paying a fair price. CarbonLens fixes that.
I'm a Leapfrogs 2026 scholar at BTH in Karlskrona, Sweden — a cross-institutional programme with Lund University and HKR. My thesis is on applying machine learning to fair-value pricing in the Voluntary Carbon Market, a space where opacity is the norm and data is scarce.
Before this, I spent two years building data pipelines and ML models in industry — reducing batch error rates from 12% to under 1%, building RAG systems on AWS Bedrock, and shipping SHAP-driven decision tools that surfaced operational levers nobody was measuring.