Nakshathru Ajay

Engineered and deployed an AI-enabled analytics engine, delivering cross-platform insights on engagement trends, content performance, and audience behavior.

Developed an integrated media editing and publishing solution, empowering users to create and deploy content seamlessly across diverse social media platforms.

Architected a cloud-native, scalable backend with a focus on extensibility, performance, and secure API integrations, ensuring robust connectivity with third-party social platforms.

Leveraged AI/ML and generative AI capabilities to enhance analytics, automate content workflows, and improve creator productivity by optimizing key processes.

Integrated Vertex AI agents and generative AI services into the contact-centre ecosystem, enabling intelligent AI-powered virtual agents for customer self-service, intent handling, and assisted-agent workflows across Genesys and Dialogflow CX, improving customer experience.

Led monorepo platform improvements by integrating AI-assisted code review, dependency/pipeline security scanning, and quality gates, significantly enhancing code quality, security posture, and release confidence.

Designed and deployed scalable APIs on Google Cloud Platform (GCP) to optimize Dialogflow CX voice and chat interactions, improving system responsiveness and user engagement.

Implemented and automated GCP infrastructure provisioning using Terraform and Azure CI/CD, ensuring high availability and compliance for critical systems.

Architected and developed secure APIs for processing payments and bank details, ensuring stringent compliance and data security for financial transactions.

Led the successful migration of a Node.js monolithic backend to a microservices architecture in the health domain, significantly improving scalability and fault tolerance.

Architected and developed a robust payment and insurance eligibility portal utilizing MEAN/MERN stacks, streamlining critical business processes.

Spearheaded the migration of critical microservices to Kubernetes and implemented robust CI/CD pipelines, enhancing deployment efficiency and system reliability.

Managed a team dedicated to enhancing an ML-powered chatbot using IBM Watson and Rasa, improving conversational AI capabilities and user interaction.

Migrated a legacy Java Jersey Web Service-based chatbot to a modern ML-powered cloud-native NLP architecture, improving performance and maintainability.

Maintained and upgraded AWS infrastructure across multiple accounts, implementing disaster recovery and high-availability features to ensure continuous service.

Designed and developed a React-Redux client application with Storybook-based modular UI components, enhancing user interface modularity and development efficiency.

Built and optimized CI/CD systems using Jenkins, Ansible, AWS CodePipeline, and AWS CDK, streamlining development workflows and accelerating release cycles.

Developed serverless microservices with Python, Node.js, and GraphQL, effectively extending chatbot capabilities and backend functionality.

Implemented cloud-based real-time analytics data collection and warehousing using Snowplow & Mixpanel, enabling data-driven insights for strategic decision-making.

Built serverless big data analytics pipelines using AWS Athena, significantly improving data processing efficiency and query performance.

Developed a VR-based Kubernetes management tool, enabling intuitive and efficient cluster monitoring and management.

Built a cloud-native inventory management portal for an automobile client, enhancing operational efficiency and asset tracking capabilities.

Developed JavaScript reference design kits for connected home devices, significantly improving device interoperability and integration capabilities.

Built an SDK web portal using MEAN stack, streamlining developer onboarding processes and enhancing user experience for developers.