Welcome to Prasad's Portfolio!
Engineering scalable systems through continuous growth.
About Me
Software Development Engineer at Onlinesales.ai with a deep expertise in architecting scalable, resilient distributed systems within fast-paced, agile environments. I specialize in designing and implementing robust, end-to-end data pipelines that harness the power of modern data processing and analytics tools such as Google BigQuery, Amazon Redshift, and Apache Kafka. My extensive background in system architecture and CRM integrations has enabled me to engineer seamless data flows that underpin sophisticated, data-driven marketing strategies.
In addition to optimizing data infrastructure, I have contributed to digital marketing initiatives by integrating key ad marketing APIs—including those from Google Ads and Facebook Ads—to enhance targeted campaign performance and derive actionable insights. My commitment to technical excellence is further evidenced by my rigorous approach to problem solving, having successfully tackled 350+ LeetCode challenges, which reinforces my analytical prowess and innovative mindset.
Dedicated to continuous learning and operational excellence, I am passionate about pushing the boundaries of scalable system design and data processing efficiency in dynamic, high-impact tech environments.
Experience
Aug 2023 - May 2024
SDE Intern at Onlinesales.ai
I began with an R&D initiative, architecting an event-driven Android application using Kotlin and Firebase. Later, I transitioned to another team where I focused on distributed systems and contributed to a system-wide migration of Google APIs, enhancing platform scalability and integration at an architectural level.
Jun 2024 - Present
SDE at Onlinesales.ai
In my current role, I design and implement scalable solutions by integrating third-party APIs using Python and optimizing data pipelines across BigQuery, Redshift, and MySQL. I spearheaded the architectural migration of the Facebook Graph API and collaborated on strategic enhancements for Google Ads campaigns, ensuring robust and high-performance system design.