Engineered a robust AI software system with integrations like Stripe, Sentry, MDM, and Pushy; now supporting 500+ concurrent user sessions while maintaining 99.9% uptime, demonstrating reliability for high-traffic periods.

Built payments backend with Stripe Billing APIs and idempotent webhook handlers via GCP Tasks, implementing automated dunning workflows and custom retry logic that improved conversion rates by 2x. Scaled system to support 300 customers generating $100k revenue in first month while maintaining transactional integrity and PCI compliance.

Enhanced system performance by 35% and reduced query response times by 40% through PostgreSQL index optimization, Redis caching implementation, and database connection pooling strategies, analyzed using Sentry.

Managed infrastructure as code with Terraform across dev, staging, and prod environments, enabling consistent deployments and rapid iteration.

Spearheaded the development of an AI-driven marketing product using React, Node.js, and AWS, releasing an MVP in 2 months.

Implemented comprehensive security best practices with IAM policies, SSH certificates, bastions, and ephemeral SSH sessions, reducing unauthorized access incidents and establishing secure deployment pipelines for cloud resources

Developed compliant marketing features following TCPA/CAN-SPAM regulations with consent management, automated opt-outs, quiet hours enforcement, and DNC registry integration while ensuring secure PII handling and comprehensive audit trails.

Designed and optimized data center expansion plans with the DCP Build Planning team on resource allocation data that improved power forecasting accuracy by 30% through precise demand matching and distributed batch processing.

Improved the power forecasting system with in-memory caching strategies for intermediate outputs, reducing forecasting turnaround time by ~95% (CloudWatch Metrics) and enabling real-time decision making for capacity planning.

Engaged in business ops for Google’s PSO Center of Excellence program maintaining a 100% delivery rate.

Deployed automated data pipelines using Google Cloud Functions and BigQuery to connect sources and dashboards, increasing efficiency by 90% while creating standardized procedures and onboarding documentation.

Streamlined data stream processing, reducing 60% and maintaining 99.5% system uptime across client engagements.