Core Experience 1. Search Ranking & Relevance – Tree based models, Multi-Task Deep Learning models, Multimodal Relevance models, LLM-based evaluation, distributed training, Fine-tuning, Autocomplete suggestions 2. Recommendation Systems – Collaborative filtering, Content-based methods, Multi-Armed Bandits, Listwise ranking 3. Fraud Detection – Real-time ML systems, Graph Neural Networks, Multi-Relational modeling 4. Marketing Optimization – Uplift modeling, Propensity modeling, Campaign targeting 5. Forecasting & Segmentation – Time-series forecasting, Customer Segmentation, demand planning 6. Agentic AI – Prompt Engineering, RAG, Multi-Agent systems, Multimodal AI 7. MLOps & Big Data – Python, PyTorch, Spark, SQL, MLflow, Langchain, Databricks, GCP, AWS, NVIDIA Triton I hold a Gold Medal in Business Analytics from a globally top-ranked university and worked closely with cross-functional teams including product, engineering, and business stakeholders to define metrics, evaluate experiments, and ensure solutions were actionable and aligned with broader goals.