Summary
Aishwarya Gunasekar is a Senior Applied Scientist based in New York with nine years of experience delivering AI-driven personalization, recommender systems, and LLM-powered solutions across tech and finance. She has a strong track record of moving models from research to production on cloud platforms (AWS, GCP, Azure), including ensemble DNNs, GNN link-prediction for high-impact recommendations, and ListMLE ranking engines that materially increased conversion and revenue. At iCapital she drove a 12% lift in live lead conversions and a 28% revenue impact by combining sequential attention models, graph embeddings, and retrieval-augmented LLM summaries; at Daily Harvest she built hybrid KG+clustering systems and an auto-learning feedback pipeline that improved engagement and repeat purchases. Now building AI experiences for Copilot Shopping at Microsoft, she pairs deep technical fluency in PyTorch/TensorFlow and SQL with product-minded experimentation and A/B testing rigor. Colleagues rely on her ability to translate complex user-product relationships into production-grade ML services that scale and measurably improve business outcomes.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of North Carolina at Charlotte
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Dayananda Sagar College of Engineering, BANGALORE