At Samsung R&D, Bangalore, I served as a Senior Software Engineer, where I focused on enhancing Samsung Pay's security and fraud prevention mechanisms. I designed and implemented a microservice for the Payment Binding Service that reduced fraudulent user onboarding by 30% through integration with a machine learning platform. Additionally, I developed a Kafka consumer for the Payment Token Service, which improved the accuracy of fraud detection models by 23%. My work involved collaborating with… Show more At Samsung R&D, Bangalore, I served as a Senior Software Engineer, where I focused on enhancing Samsung Pay's security and fraud prevention mechanisms. I designed and implemented a microservice for the Payment Binding Service that reduced fraudulent user onboarding by 30% through integration with a machine learning platform. Additionally, I developed a Kafka consumer for the Payment Token Service, which improved the accuracy of fraud detection models by 23%. My work involved collaborating with cross-functional teams, ensuring robust system health through DataDog monitoring, and actively participating in Agile methodologies. My contributions were recognized for effectively advancing secure digital payment solutions. Show less

At DeHaat, Gurugram, as a Software Engineer, I played a pivotal role in enhancing agricultural forecasting and rule-based recommendation services. I developed the Crop Forecast Processor, a scalable batch application that reduced computation time by 80% by processing weather data for crop recommendations. Additionally, I built the Crop Forecast Service, a microservice that streamlined the ingestion and processing of agricultural rules, increasing user onboarding by 20%. My work involved… Show more At DeHaat, Gurugram, as a Software Engineer, I played a pivotal role in enhancing agricultural forecasting and rule-based recommendation services. I developed the Crop Forecast Processor, a scalable batch application that reduced computation time by 80% by processing weather data for crop recommendations. Additionally, I built the Crop Forecast Service, a microservice that streamlined the ingestion and processing of agricultural rules, increasing user onboarding by 20%. My work involved collaborating closely with data scientists, designing and implementing APIs, and providing technical guidance to ensure seamless project execution, contributing to significant advancements in AgriTech solutions. Show less

At Wipro, Bangalore, as a Project Engineer, I played a key role in developing and optimizing e-commerce and fintech solutions. I developed a machine learning pipeline for HP's checkout service, which improved future checkout experiences and boosted conversion rates by 10% in the first quarter. I designed and implemented a Kafka-based data pipeline to stream user behavior data into Hadoop for analysis, contributing to data-driven decision-making. Additionally, I created an automated notification… Show more At Wipro, Bangalore, as a Project Engineer, I played a key role in developing and optimizing e-commerce and fintech solutions. I developed a machine learning pipeline for HP's checkout service, which improved future checkout experiences and boosted conversion rates by 10% in the first quarter. I designed and implemented a Kafka-based data pipeline to stream user behavior data into Hadoop for analysis, contributing to data-driven decision-making. Additionally, I created an automated notification system that provided real-time updates to customers upon order creation, enhancing communication efficiency. Throughout my tenure, I employed Agile methodologies, managed end-to-end development processes, and mentored a team, earning recognition for timely delivery and quality work. Show less

During my research experience at the Indian Institute of Science, Bangalore, I contributed to developing a computer vision system for identifying and re-identifying suspicious individuals using the Bayesian ScatterNet Hybrid (BSH) Network. I co-authored an ICCV 2019 paper on ASANA, a pioneering deep learning system designed to enhance safety by addressing the limitations of traditional video monitoring in large public areas. Additionally, I contributed to the research community by sharing the… Show more During my research experience at the Indian Institute of Science, Bangalore, I contributed to developing a computer vision system for identifying and re-identifying suspicious individuals using the Bayesian ScatterNet Hybrid (BSH) Network. I co-authored an ICCV 2019 paper on ASANA, a pioneering deep learning system designed to enhance safety by addressing the limitations of traditional video monitoring in large public areas. Additionally, I contributed to the research community by sharing the project dataset, facilitating further deep learning research in aerial crowd monitoring. Show less