About Me
Greetings! I’m Shubham Kumar Singh, a Software Development Engineer at Amazon with a knack for crafting robust, scalable systems using cutting-edge cloud technologies. My career is a testament to my capability in cloud computing, data analysis, and creating software solutions that drive business value.
My technical proficiency spans: Cloud Computing Platforms, Java, Python, AWS Services, and Data Visualization Tools. I am driven by my curiosity to solve complex challenges and my dedication to delivering high-quality software.
When not engaged with code, I’m a fervent traveler and food enthusiast, always on the lookout for the next adventure or culinary discovery. Hiking, reading, gaming, and experimenting with new recipes offer me a world of experiences.
Experience
Amazon
Software Development Engineer
August 2022 - Present
Innovating at the heart of Amazon's cross-border shipment solutions, harnessing the power of AWS.
As a Software Development Engineer at Amazon, I contribute to the backend systems facilitating cross-border shipments. My role involves enhancing cloud infrastructure, streamlining data processing pipelines, and employing AWS services to maximize system reliability and efficiency.
Eli Lilly and Company
Data Engineering Co-op
Jan 2021 - Feb 2021
Tackling complex data challenges in the biopharmaceutical field to advance cancer research.
Engaged in a cooperative education program at Eli Lilly, where I developed ML models for cancer cell gene identification and orchestrated an ETL pipeline, gaining hands-on experience with Apache Airflow and Docker.
Projects
Cost-Optimization Analyzer
AWS Cost Explorer API, Lambda, DynamoDB, QuickSight
Developed an application to analyze AWS spending and offer cost-saving recommendations through pattern identification and resource optimization.
Dynamic Content Delivery Network (CDN)
AWS CloudFront, Lambda@Edge, S3, Route 53
Designed a CDN that adaptively serves content based on user’s location and preferences, significantly optimizing user experience.
Serverless Data Processing Pipeline
AWS Lambda, S3, DynamoDB, API Gateway, Kinesis
Engineered a serverless pipeline for real-time data processing, utilizing Lambda for efficient data transformations and streamlined storage.
Real-Time Analytics Dashboard
AWS Kinesis, Lambda, QuickSight, DynamoDB
Implemented a real-time analytics dashboard to visualize data streams, enhancing decision-making with up-to-the-minute insights.
Education
Indiana University Bloomington
Masters in Computational Science
2021 - 2022
A curriculum ingrained with computational prowess and data science acumen.
Gained a solid grounding in computational science, integrating data analysis, machine learning, and cloud platforms like AWS and GCP. Emphasized collaborative and project-based learning to solve real-world problems.
A Little More About Me
My curiosity extends beyond the technical sphere to diverse hobbies such as hiking to reconnect with nature, strategizing in gaming worlds, and experimenting with recipes in the kitchen.