● Developed and maintained RESTful APIs using Java and Spring Boot, with MongoDB as the database, achieving sub-100ms response times and handling 10,000+ concurrent users.● Utilized data caching strategies with Redis, resulting in a 60% reduction in database query response times.● Deployed applications on AWS for scalable and reliable infrastructure.● Designed and Develop a high-performance search engine to deliver quick and accurate

● In an agile setting, collaborated across teams to design and develop a high-performance LMS with video streaming, attracting 500k unique visitors, involving 100k users, engaging 30k active users.● Delivered 15+ significant features in a microservices environment, including video streaming, recommendation systems, and more. Using Golang,PHP, PostgreSQL, Mongo, and Docker to execute projects on AWS.● Develop RESTful and gRPC gateways its reduced service communication latency by over… Show more ● In an agile setting, collaborated across teams to design and develop a high-performance LMS with video streaming, attracting 500k unique visitors, involving 100k users, engaging 30k active users.● Delivered 15+ significant features in a microservices environment, including video streaming, recommendation systems, and more. Using Golang,PHP, PostgreSQL, Mongo, and Docker to execute projects on AWS.● Develop RESTful and gRPC gateways its reduced service communication latency by over 20%, boosting efficiency and enhancing the user experience.● Independently developed two distinct video streaming services, each employing different technologies—one utilizing FTP service, and the other leveraging HLS technology. Both services offer content protection for enhanced security and efficiently supported 10k concurrent users. Show less

● As a member of the backend team, actively contributed to designing the backend infrastructure for a jobplatform hosting more than 500k job seekers and over 50k job opportunities.● Engineered precise and high-performing job recommendations using Golang, Kafka, and MongoDB, swiftlydelivering 10 job matches from a pool of over 10k active listings in under one minute. Employed 50+ keyelements to evaluate and score recommendations for each user.● Added Elasticsearch as the… Show more ● As a member of the backend team, actively contributed to designing the backend infrastructure for a jobplatform hosting more than 500k job seekers and over 50k job opportunities.● Engineered precise and high-performing job recommendations using Golang, Kafka, and MongoDB, swiftlydelivering 10 job matches from a pool of over 10k active listings in under one minute. Employed 50+ keyelements to evaluate and score recommendations for each user.● Added Elasticsearch as the search engine and introduced Redis as a cache layer, achieving a remarkable over50% reduction in API response latency. This scalability improvement allowed us to efficiently serve a concurrent user base exceeding 20k, significantly enhancing system performance.● Designed and Develop a WebSocket-based chat feature capable of supporting concurrent conversations with up to 1,000 users.● Conducted stress tests on vital APIs including job search and homepage using JMeter, simulating high loads. Achieved a notable 200% improvement in API response times, enhancing system robustness under peak usage. Show less

● Joined an IoT startup as a junior developer responsible for developing the initial backend infrastructure. Taskedwith collecting data from over 10k devices and aggregating more than 50 data elements, including temperature,humidity, and electricity consumption.● Created a data collection engine with support for HTTP and MQTT protocols using MongoDB and Golang.Achieved efficient data collection from 2k concurrent devices with minimal hardware requirements.● Architected and… Show more ● Joined an IoT startup as a junior developer responsible for developing the initial backend infrastructure. Taskedwith collecting data from over 10k devices and aggregating more than 50 data elements, including temperature,humidity, and electricity consumption.● Created a data collection engine with support for HTTP and MQTT protocols using MongoDB and Golang.Achieved efficient data collection from 2k concurrent devices with minimal hardware requirements.● Architected and executed the creation of more than 100 RESTful API endpoints for a mobile application, resulting in an impressive average response time of 100 ms, empowering efficient monitoring and control of over 50 device parameters each. Employed PHP Laravel and MySQL database to ensure seamlessfunctionality. Show less