AI & Data Science Consultant R&D

Experienced data science professional specializing in generative AI, NLP, and anomaly detection within cybersecurity. Delivered multiple production-oriented POCs including NL-to-SQL systems, investigation agents, and ML-based anomaly detection frameworks. Strong background in collaborating with engineering teams, designing AI solutions, and driving technical execution. Also brings one year of presales experience supporting client onboarding, operations, and technical validation. Holds an MBA and demonstrates strong analytical and problem‑solving capabilities.

Developed an NL-to-SQL converter for event log data achieving over 90 percent accuracy and presented the design to the production team. Designed and implemented an investigation agent using the ReAct framework enabling autonomous SQL generation and reasoning. Built investigation and summarization agents using the Autogen framework for process automation and context management. Evaluated an NL-to-SQL assistant with over 80 percent accuracy based on a repository of more than 140 SQL queries. Created an anomaly detection model for email trace logs including feature engineering and clustering. Developed an efficient feature-generation framework for CloudTrail logs reducing processing time by 80 percent. Supported presales activities in cybersecurity including client engagement, use-case validation, and threat-hunting assistance.