Nov 2023 – Jul 2024 · 8 mos

• ⚪ Played a pivotal role in enhancing system efficiency and streamlining Supply Chain operations during a critical product scaling phase of the Rubicon, enabling management of order, inventory, and warehouse operations.
• ⚪ Led the end-to-end development of a highly efficient Warehouse Management System, revolutionizing operations and achieving an astounding 96% improvement in overall efficiency through strategic design and execution.
• ⚪ Implemented a robust batch processing library for file uploads using S3 Bucket, DynamoDB, Redis and NodeJs, enabling concurrent handling of rows in batches and slashing processing time by a remarkable 80%.
• ⚪ Optimized the inventory management system which handles billions of daily transactions, reducing synchronization lag by around 42% while improving consistency using techniques like global cache and CAP theorem.
• ⚪ Implemented a notification feature on AWS, ensuring timely critical updates and boosting response time by 88%.

Jan 2022 – Dec 2023 · 1 yr 11 mos

• Software Engineer focused on building efficient, scalable solutions
• ⚪ Engineered an efficient rate-limiting library using Redis, resulting in an operational cost reduction of 87%.
• ⚪ Innovated order management with a generic JavaScript framework, reducing code duplication by 79%.
• ⚪ Established seamless integration with a new e-commerce marketplace, handling 1 million daily transactions.
• ⚪ Engineered and deployed a scalable, cloud-based infrastructure on AWS utilizing JavaScript, NodeJs, Java, Redis, ExpressJs, and MongoDB, leading to a 25% increase in system consistency and reliability.
• Technical Skills: JavaScript, NodeJS, ExpressJS, AWS, Java, MongoDB, DynamoDB, Redis, REST APIs.

Aug 2020 – Jan 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Experienced Engineer specializing in architecting solutions for inventory forecasting models. Some of my work includes:
• ⚪ Spearheaded the design of a high-impact data pipeline for an inventory forecasting system with the Help of Azure Data Factory, catalyzing a remarkable 72% surge in sales.
• ⚪ Executed seamless data migration through ETL pipelines in Azure Data Factory and Data-Bricks, coupled with strategic T-SQL Stored Procedures enabling near real-time reports of 3 hours.
• ⚪ Automated data migration, yielding a 35% reduction in data load rate resulting in enabling of real-time reporting capabilities for businesses.
• ⚪ Proficient in agile workflows, my technical skills include Python, SQL, Azure Data Factory, SQL Server, Pyspark, and T-SQL.

May 2019 – Jul 2019 · 2 mos · Karnataka, India

• Implemented a deep learning CNN model for image captioning. Preprocessed data, resized images, and converted to grayscale for model simplicity and performance enhancement. Utilized VGG-16 architecture for feature extraction and LSTM model for caption generation. Achieved 56.2% accuracy post fine-tuning and optimization using Python3 and ML libraries. This model enhances image understanding and will contribute to further research for improved performance.