Spearheaded the development of cutting-edge AI/ML models to optimize messaging business operations, enhance margins, and secure the network.Led AI-powered projects for network optimization, margin enhancement, billing accuracy, and messaging security.Key Projects:• AI-Powered Network Optimization & Self-Organizing Networks (SON): Developed AI models to predict and detect real-time network congestion, coverage gaps, and failures, improving operational efficiency.• AI-Powered Direct Margin Optimization Tool: Optimized message routing between customers and operators to enhance direct margins.• AI-Powered Billing & Invoice Auditing: Audited supplier invoices for accuracy and integrity, identifying discrepancies and ensuring compliance with agreed rates.• AI-Driven Firewall for Messaging Security: Built a robust AI firewall to protect the messaging business from malicious activities and regulatory non-compliance.

Led the end-to-end setup of a content moderation system for TikTok, ensuring compliance with global regulatory standards and delivering scalable, AI-driven content filtering solutions.Key Contributions:• Designed system architecture and data pipelines for real-time processing and content moderation.• Built AI-based content filtering systems using NLP and computer vision to detect harmful language and visuals.• Established human moderation teams, training processes, and feedback loops to continuously improve AI accuracy and decision-making.• Scaled the content moderation system globally, ensuring adaptability to regional laws and cultural nuances.

Developed and deployed a sophisticated chatbot for Amazon’s CRM team, enhancing customer experience and streamlining customer service operations.Key Contributions:• Led the chatbot development from scoping to full deployment, identifying use cases, defining KPIs, and establishing project roadmaps.• Built NLP models for intent recognition and entity extraction using frameworks like Rasa and Dialogflow.• Integrated the chatbot with CRM systems via APIs, conducting extensive testing (unit, integration, and load tests) to ensure seamless functionality.• Collaborated with stakeholders to refine chatbot responses, leveraging real-time feedback to improve performance.