• Led the design, development, and deployment of advanced machine learning models to address complex business challenges.• Worked closely with business stakeholders to deliver end-to-end analytics and reporting solutions, including data modeling, transformation, and visualization.• Hands-on experience with cloud platforms such as Azure, AWS and Snowflake, advanced data manipulation using Python.• Stayed updated with advancements in AI/ML and contributed to innovative solutions in Generative AI, Semantic Search, and RAG frameworks.• Provided technical and functional guidance on machine learning and advanced data science topics, fostering collaboration and knowledge sharing.• Delivered AI/ML applications in production using microservices within automated CI/CD pipelines, ensuring scalability and reliability.• Conducted in-depth data analysis, generating actionable insights for business strategies and decision-making.

• Developed and enhanced internal and external cyber threat detection systems using advanced AI/ML techniques, enabling proactive identification and mitigation of security risks.• Designed AI/ML-based solutions for IoT and IoMT fingerprint identification, ensuring precise device recognition and enhance network security in a zero-trust environment.• Built a comprehensive user and entity behavior analytics (EBA) system for detecting, monitoring, and preventing anomalous activities, improving security posture across networks.• Developed ML-based prediction systems integrated into the Elisity Cognitive Trust platform, enabling detection of advanced persistent threats (APT) and automated policy recommendations for enhanced security measures.• Engineered modular, reusable AI/ML models and frameworks, deploying them on the AWS cloud platform with a focus on scalability, automation, and high-performance computing.

Application & Analytics, Customer Experience Management (CEM)• Specialized in telecom data modeling and analytics, contributing to projects focused on user segmentation, prediction, and customer insights through advanced machine learning techniques.• Led the design and development of data models tailored to business requirements, implementing complete systems for data analytics and automation, seamlessly integrated with custom visualization tools.• Developed utilities in Python leveraging packages like SciPy, NumPy, and Pandas for efficient data processing and analysis, optimizing project workflows and outcomes.• Managed sprint-level planning, daily scrums, and progress monitoring, ensuring smooth execution of tasks, addressing challenges proactively, and delivering results aligned with Agile practices.• Conducted Program Increment (PI) planning based on features, customer requirements, and release schedules, successfully coordinating monthly and major releases to meet strategic objectives.• Prepared comprehensive test plans, executed rigorous testing procedures, and ensured high-quality deliverables across application development projects.