I am a Technical Lead and Senior Backend Engineer with 13+ years of experience in designing and delivering enterprise-grade solutions, now expanding into Data Engineering and Machine Learning projects. My expertise spans Java, Spring Boot, Microservices, Kafka, Docker, Kubernetes, and AWS, with a proven ability to build scalable, secure, and cloud-native systems.
Over the years, I have successfully led microservices modernization initiatives, transforming legacy monolithic applications into containerized, distributed architectures that improve scalability, reduce costs, and enhance system performance. I have extensive experience implementing event-driven solutions with Kafka, enabling real-time data streaming, seamless system integrations, and high-throughput pipelines. On the cloud side, I have leveraged AWS services such as S3, RDS, Lambda, and EMR to design and deploy robust, cost-effective, and high-availability applications.
Recently, I have been building hands-on expertise in data engineering and machine learning, including ETL workflows, distributed data processing, and ML model training and deployment. This allows me to combine my strong foundation in backend engineering with modern data platforms to deliver end-to-end solutions—from data ingestion and transformation to predictive insights and production-ready ML models.
Key strengths I bring include:
I am now looking for freelance opportunities in Data Engineering, Machine Learning, Microservices Modernization, and Cloud-native backend systems. My goal is to contribute immediately with my proven expertise while continuing to deepen my hands-on experience in data-driven and AI-powered solutions.