Oct 2022 – Jun 2024 · 1 yr 8 mos · Bengaluru, Karnataka, India · Hybrid

• 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.

Dec 2021 – Sep 2022 · 9 mos · Gurugram, Haryana, India · Remote

• 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.

Jun 2019 – Dec 2021 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

• 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.

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India · On-site

• 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.