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Coco Panda
Focused on software engineering, algorithms, database systems, and distributed application development.
Lead Java Software Engineer with 10+ years of experience designing scalable backend platforms, cloud-native microservices, and distributed systems for enterprise SaaS products. Strong hands-on leader skilled in Java, Spring Boot, AWS, Kafka, Kubernetes, API design, and mentoring teams to deliver reliable, secure, and maintainable software.
- Lead a team of 8 engineers building Java microservices that process 6.5 million daily transactions with 99.95% production availability.
- Architected Spring Boot and Kafka services that reduced checkout latency by 32% and increased peak traffic capacity by 45%.
- Partner with product, security, and SRE leaders to prioritize technical roadmaps, compliance requirements, and quarterly platform reliability goals.
- Improved CI/CD pipelines with Docker, Kubernetes, and automated quality gates, cutting average deployment time from 50 minutes to 18 minutes.
- Conduct design reviews and mentoring sessions that reduced escaped defects by 28% across three core backend service teams.
- Developed Java and Spring APIs for payment authorization workflows, supporting $2.1 billion in annual transaction volume across banking clients.
- Refactored monolithic account services into RESTful components, decreasing defect density by 24% and improving sprint delivery predictability.
- Implemented AWS-based logging, tracing, and alerting patterns that reduced mean time to resolution from 95 minutes to 38 minutes.
- Collaborated with architects to define database indexing and caching strategies, improving high-volume reconciliation job performance by 41%.
- Led decomposition of a legacy order workflow into event-driven Spring Boot services, improving deployment independence and reducing release coordination time by 35%.
- Designed Kafka-based retry, idempotency, and monitoring patterns that lowered failed transaction recovery time from hours to under 20 minutes.
- Built reusable API security patterns using OAuth2, JWT validation, and centralized policy enforcement across 18 customer-facing services.
- Partnered with security and platform teams to close audit gaps and reduce critical API findings by 60% within one quarter.
Established engineering standards adopted by five product teams, improving review consistency, release readiness, and long-term service maintainability.
Mentored 12 engineers into expanded backend ownership, including three promotions to senior-level roles within two performance cycles.
Led architecture decisions for customer-facing platforms supporting high-traffic workloads, strict uptime expectations, and regulated data handling requirements.
Coco Panda
Focused on software engineering, algorithms, database systems, and distributed application development.
Lead Java Software Engineer with 10+ years of experience designing scalable backend platforms, cloud-native microservices, and distributed systems for enterprise SaaS products. Strong hands-on leader skilled in Java, Spring Boot, AWS, Kafka, Kubernetes, API design, and mentoring teams to deliver reliable, secure, and maintainable software.
- Lead a team of 8 engineers building Java microservices that process 6.5 million daily transactions with 99.95% production availability.
- Architected Spring Boot and Kafka services that reduced checkout latency by 32% and increased peak traffic capacity by 45%.
- Partner with product, security, and SRE leaders to prioritize technical roadmaps, compliance requirements, and quarterly platform reliability goals.
- Improved CI/CD pipelines with Docker, Kubernetes, and automated quality gates, cutting average deployment time from 50 minutes to 18 minutes.
- Conduct design reviews and mentoring sessions that reduced escaped defects by 28% across three core backend service teams.
- Developed Java and Spring APIs for payment authorization workflows, supporting $2.1 billion in annual transaction volume across banking clients.
- Refactored monolithic account services into RESTful components, decreasing defect density by 24% and improving sprint delivery predictability.
- Implemented AWS-based logging, tracing, and alerting patterns that reduced mean time to resolution from 95 minutes to 38 minutes.
- Collaborated with architects to define database indexing and caching strategies, improving high-volume reconciliation job performance by 41%.
- Led decomposition of a legacy order workflow into event-driven Spring Boot services, improving deployment independence and reducing release coordination time by 35%.
- Designed Kafka-based retry, idempotency, and monitoring patterns that lowered failed transaction recovery time from hours to under 20 minutes.
- Built reusable API security patterns using OAuth2, JWT validation, and centralized policy enforcement across 18 customer-facing services.
- Partnered with security and platform teams to close audit gaps and reduce critical API findings by 60% within one quarter.
Established engineering standards adopted by five product teams, improving review consistency, release readiness, and long-term service maintainability.
Mentored 12 engineers into expanded backend ownership, including three promotions to senior-level roles within two performance cycles.
Led architecture decisions for customer-facing platforms supporting high-traffic workloads, strict uptime expectations, and regulated data handling requirements.
