Bhoomi Shree CP

At Tata Consultancy Services, deployed to a global investment banking client, I build and maintain a client-facing pre-trade limit management, audit, and recertification application used by 150+ business users. I designed the end-to-end recertification workflow, from backend APIs and workflow logic to MongoDB integration and production deployment.

I develop Flask services, React.js enhancements, REST APIs, MongoDB aggregation pipelines, and Python-based Kafka consumers that process operational data, filter tombstone messages, route malformed records to a Dead Letter Queue, and persist valid records. I also work directly with client stakeholders to gather requirements, investigate production issues, and deliver workflow improvements across Development, QA, and Production releases.

Previously, as a Research Intern at IIT Kharagpur, I built CNN models for fNIRS cognitive-task classification, reaching 95% validation accuracy and 97% test accuracy while applying LIME and SHAP for explainability. I’m interested in practical, interpretable AI and have also explored explainable deep learning for Alzheimer’s disease classification.