Sharath Nayak T

Senior Software Developer with over 6 years of experience in developing scalable applications and cloud-native solutions. Expertise in front-end and back-end development, specializing in GCP, CI/CD and API design. Proven ability to solve complex problems and deliver high-performance solutions in dynamic environments.

Ask-Scotty

• Built and optimized APIs and middleware for multi-environment automation, improving reliability and reducing deployment errors by 40%
• Implemented CI/CD pipelines for 23+ Cloud Functions, cutting release cycles by 30% and reducing manual deployment effort.
• Automated Agent Export workflows with testing, improving migration reliability and lowering failure rates.
• Standardized environment-specific configurations with GitLab pipelines, minimizing rollout inconsistencies.
• Enhanced logging and monitoring, enabling quicker debugging and reducing mean time to resolution (MTTR).
• Coordinated with infra, QA, and client teams to align releases and ensure smooth multi-environment deployments.

Elevance Health

• Developed a secure data processing pipeline using Cloud Run to handle sensitive information exchanged during agent conversations.
• Integrated Google Cloud DLP to automatically detect and encrypt confidential data at the end of each conversation, ensuring compliance with enterprise security standards.
• Implemented Protegrity-based data protection to further tokenize and safeguard PII/PHI data before storing it in a separate secured BigQuery table.
• Designed the decryption workflow to safely retrieve and process protected data when required, maintaining full auditability and traceability.
• Collaborated with data security and infrastructure teams to validate encryption policies, streamline deployment, and optimize system performance.
• Enhanced overall data privacy posture, ensuring sensitive information remained protected across all stages of ingestion, storage, and retrieval.

Looker Dashboard Summarization

• Developed a Looker extension with AI-powered summaries, reducing manual analysis time by 40%.
• Integrated Vertex AI with Cloud Run, enabling real-time AI-driven insights and recommendations.
• Added custom prompts and regeneration capabilities, improving usability for analysts and decision-makers.
• Implemented streamlined data handling from Looker dashboards to AI backend, ensuring scalable performance.
• Created clear documentation and demos, accelerating adoption by non-technical stakeholders.
• Improved extension modularity, allowing rapid integration of future AI features.

Quantum XPR

• Built a predictive analytics platform with scalable backend services, reducing reporting time by 30%.
• Created wireframes and API contracts, improving clarity and alignment between frontend and backend teams.
• Implemented data pipelines and cloud services (Node.js, Angular, GCP) to handle large-scale processing efficiently.
• Optimized BigQuery queries and Firestore usage, reducing processing costs.
• Introduced modular architecture, enabling faster delivery of new features.
• Ensured high availability and monitoring, supporting production-grade analytics.

Other Projects

• Crate & Barrel Alerts Automation – designed a GCP Cloud Scheduler and BigQuery workflow for monitoring and alerts, improving operational efficiency and response time Also led deployment as POC. Enhanced logging and reporting for scheduled alerts, reducing false positives and improving incident visibility.
• AI Assistant – Built a conversational assistant using Dialogflow CX with Speech-to-Text and Text-to-Speech APIs, enabling natural voice-based interactions and improving user experience. Integrated multi-language support to make the assistant usable across different regions.

• Google Cloud Certified Professional Cloud DevOps Engineer (03/2024 - 03/2026)
• Google Cloud Certified Professional Cloud Developer (02/2025 - 02/2027)