Raghul V

Constructed Python-based automation systems and performed advanced API integrations (Open, REST, SOAP, GraphQL), enhancing data communication efficiency by 30%. Implemented AI and GPT-4 integrations, improving functionalities of four primary commercial products by 25%. Managed complex engineering projects that augmented business processes and product offerings, contributing to a 40% increase in overall company efficiency. Oversaw OSINT feeds framework leveraging STIX, TAXII protocols, and MISP integrations, enhancing threat intelligence sharing and analysis by 40%. Managed SIEM & EDR technologies (Splunk, IBM QRadar, Resilient, Crowdstrike) for internal security and partner apps, reducing incident response time by 35% and mitigating security incidents by 30%.

Co-authored paper on using Generative Adversarial Networks for architectural modeling. Co-authored chapter on creating deep learning decision support model for law enforcement. Co-authored paper on a wrist wearable health band for COVID-19 testing. Created a model for classifying loan data effectively. Developed a robust model for identifying fraudulent news articles.