DISTRIBUTED SYSTEMS AND BACKEND INFRASTRUCTURE

• Built Apache Flink stream processing pipeline integrating Kafka at 10M events/min, Elasticsearch, and HDFS; engineered stateful windowing and distributed state management for real-time data aggregation at scale

• Architected distributed platform (MCP Server) processing 25,000 requests/day with 99.9% uptime; implemented multi-node load balancing and fault-tolerant request handling, reduced troubleshooting time by 75% achieving 5x faster incident resolution

• Engineered Spring Boot REST APIs with low-latency query layer accessing Apache Druid processing 100GB+ daily from petabyte-scale platform; implemented concurrent execution and caching strategies achieving 80% faster data retrieval

OBSERVABILITY AND PERFORMANCE OPTIMIZATION

• Integrated OpenTelemetry framework to publish streaming metrics to Datadog for real-time monitoring; configured dashboards and alert thresholds ensuring high availability of critical infrastructure

• Built real-time data correlation pipeline with distributed aggregation, data consistency guarantees, and concurrent query processing; integrated with data warehouse for analytics

• Developed high-throughput pipeline processing event streams at 10K events/sec with windowed aggregation; metrics integrated with ML models for business insights

LEADERSHIP AND IMPACT

• Recognized for developing AI-powered troubleshooting tool in collaboration with Global Integration teams; achieved 50-70% reduction in troubleshooting time improving team productivity and partner experience

• Authored "Stop Burning Tokens" blog demonstrating $1.5M annual AI infrastructure cost savings; influenced organizational cost management approach

SKILLS

Java,Python, SQL, Spring Boot, REST APIs, MCP, Microservices, Apache Flink, Kafka, Redis, Distributed Systems, MySQL, Oracle DB, Apache Druid, BigQuery, Elasticsearch,Apache Spark, OpenTelemetry, Datadog, Splunk, Kubernetes, Docker, GCP, Load Balancing, Real-time Analytics

FULL-STACK DEVELOPMENT AND APIs

• Engineered full-stack application for Account Financials Change System using Vue.js frontend and Spring Boot REST APIs; built scalable microservices architecture serving 40M+ requests daily

• Architected Wait Event framework API with distributed transaction coordination; implemented book-close synchronization ensuring transactional accuracy and data consistency for critical financial operations

DATABASE ENGINEERING AND PERFORMANCE

• Optimized Oracle database performance for transaction systems handling 40M+ requests daily through index design, query plan optimization, and SQL tuning; improved query execution time and system throughput

• Re-architected financial settlement Event Journaler with exactly-once semantics and multi-threaded processing handling 400M messages/day; cut end-of-day settlement time by 30 minutes

• Spearheaded Redis caching POC replacing Oracle with Redis Pub/Sub for low-latency event processing; achieved 12x performance improvement reducing latency from 6 min to 30 seconds

Tiktok's E-commerce platform

• Integrated US 4PL Shipping insurance into TikTok’s E-commerce platform, providing sellers with third-party insurance options.

• Enhanced tax framework by incorporating a PH Withholding Tax adjustment for Filipino sellers to apply for government-withheld tax.

• Developed a statement fee Withholding Tax reimbursement system for SEA countries, improving transparency and compliance.

• Engineered a user-friendly front-end web page using Vue.js, integrated with a robust Spring Boot back-end for the Account Financials Change System.

• Innovated a Spring Boot web service to efficiently retrieve activities triggering changes in close books data for a given account and report date.

Innovative Reporting: Developed automated daily reports on top 80 stocks, improving accuracy by 650% and expediting delivery by 4 hours.

Deadline Management: Implemented a system to ensure timely FLEX report delivery, reducing client complaints.

Performance Optimization: Accelerated compute instance framework by 30 minutes and improved database efficiency by 20%.

Scalability: Optimized system for growth using distributed architecture.

On-Call Expertise: Gained deep understanding of system components and root causes.

Low-Level Design: Created new components and mastered 20+ design patterns.

Cross-Team Collaboration: Excelled in working with colleagues on larger projects.