- Research and development focused on machine learning and data science for domains search and recommendation.- Build machine learning models and systems, including large language model (LLM) applications, for search ranking and personalized recommendations, driving revenue and conversion gains validated by A/B testing.- Deploy robust and scalable ML services on AWS (EKS, ECS, SageMaker), with production-grade code, ensuring seamless integration between ML pipelines and other backend infrastructures.- Conduct data analytics to identify growth opportunities, perform large-scale research and experimentation, including A/B tests.

- Developed data processing techniques to enable machine learning on CrowdStrike Falcon Sensor logs.- Conducted ML-based anomaly detection to identify insider threats within large-scale real-world log data.

- Conducted research in the areas of: Insider threat detection and Intrusion detection using Machine Learning, Evolutionary computation. - Developed novel algorithms and ML-based frameworks for insider threats detection from heterogeneous data, achieving high detection accuracy and robustness.

Analyzed & evaluated botnet detection systems, such as BotHunter and Snort