Professional Overview
With over 9.5 years of professional experience, including 7 years dedicated to data engineering, I bring a wealth of expertise in building and optimizing data infrastructure. My journey has been deeply entrenched in the realm of Big Data, where I've honed my skills in technologies such as Spark, Kafka, AWS, GCP, SQL, and more. Throughout my career, I've been immersed in the intricacies of data architecture, crafting robust systems to handle vast quantities of information effectively.My career trajectory has seen me predominantly in product-based companies, where I've thrived in environments that demand innovation and agility. Additionally, I've garnered invaluable experience from a four-year stint in the startup scene, where I embraced the fast-paced nature of emerging ventures.A standout achievement in my career has been spearheading the development of data platforms from inception. I take pride in having built data infrastructure from the ground up, leveraging my expertise to design scalable and efficient solutions tailored to meet organizational needs.Currently, my focus lies in actively shaping the architecture of data platforms, where I contribute my strategic insights to drive the evolution of robust and future-proof systems. I'm passionate about leveraging technology to unlock the full potential of data and thrive in roles that allow me to push the boundaries of what's possible in the data engineering landscape.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
