Shruti Singh

Product Data Scientist building AI-powered search, recommendation, and optimization products. Delivered a knowledge graph-powered semantic search platform that replaced a £100k external subscription, built LLM and RAG applications saving 1,500+ hours, developed graph-based recommendation systems and optimization models, automated A/B testing workflows, and mentored engineers while partnering with product, engineering, and business teams to ship production solutions.

• Computed signal decomposition using wavelet transforms to de-noise the signals coming from the Dynosense device, improving predictions. • Led the code refactoring and restructuring effort of the proprietary heart rate calculation algorithm from R to Python. • Had full ownership of the bug handling pipeline, from classifying by types (algorithmic/mishandling) to implementing timely fixes.

• Leveraged SBERT to generate semantic textual similarity based knowledge graphs showing strategic investment opportunities. • Built a hybrid NER + heuristic based model for parsing unstructured public research articles, reducing search time from weeks to hours. • Analysed performances of models ranging from embedding based search to transformer based deep networks for retrieval tasks.