Software Engineer at Pixis AI, where I work on the backend and infrastructure of Data Platform that enables data-driven decisions for businesses. I have over 3 years of experience in developing core systems in a microservice architecture on top of Kubernetes, using Python and Go as my primary languages. I have experience working with Big Data technologies like Apche Kafka, Apache Flink and Apache Iceberg to modernise our systems and scale our platform for Petabyte scale data. I also like to dabble in core engineering areas like databases, networking and code execution analysis to get the most out of my systems. I strongly follow the First Principle thinking to any problem I am presented with. I have delivered performant and reliable solutions for various technological challenges, such as creating a DAG framework to fetch and centralize client ad data from multiple sources, reducing turnaround time for delivering ad optimizations from weeks to days, and increasing the performance and scalability of APIs and data pipelines. I am passionate and empathetic, with a high sense of ownership, ambition, and competitiveness. I am interested in working with a team of engineers who share these values and are dedicated to solving real-world problems at scale.