• Engineered a cross-platform mobile app using React Native and Golang, enhancing UX for 3,000+ daily active users.

• Developed RESTful APIs with Golang and Node.js, reducing sync latency by 40% and boosting user retention.

• Redesigned schemas, migrating Firebase to MySQL, enabling relational queries, and 35% faster reporting.

• Deployed a full-stack app on AWS EC2 with load balancing and autoscaling, ensuring scalability and high availability.

• Delivered low-latency ad delivery systems, reducing response time by 30% using microservices with Java Spring Boot.

• Built scalable ad-serving handling 12 billion bids per day, utilizing OpenRTB 2.6 and VAST in distributed systems.

• Integrated Kafka streaming pipelines, reducing message delivery latency by 70% in high-throughput data systems.

• Facilitated system scalability and flexibility with microservices architecture, handling 12 billion requests daily.

• Maintained and optimized ad targeting processes and Apache Druid datastore, driving $4.5 million monthly revenue.

​​• Upgraded 10+ Java 8 MVC services to Java 21, improving performance by 30% and ensuring 100% security compliance.

• Developed 5+ distributed systems, improving data throughput 40% using MongoDB, MySQL, and scalable architecture.

• Mentored a 4-member Scrum team, increasing deployment frequency 25% using CI/CD pipelines with Git and Jenkins.

• Implemented API testing, resulting in reduced production bugs by 30% using Postman, Mockito, and JUnit frameworks.

• Deployed Dockerized microservices on AWS, enabling real-time monitoring with Grafana and automated pipelines.

• Improved MySQL database efficiency, reducing query execution time by 30% by optimizing indexes and logic.

• Strengthened backend resilience, ensuring 99.9% uptime with 10M+ records via monitoring and performance tuning.

• Accelerated backend data delivery, reducing processing time by 60%, utilizing automated ETL pipelines with Python.

• Optimized system performance, enabling fast retrieval of 5M+ unstructured records via MongoDB query improvements.