PIYUSH MUSADDI
@piyushmusaddi
I build scalable cloud infrastructure, backend services, and AI platforms, delivering measurable reliability and performance gains.
What I'm looking for
I’m a Software Development Engineer building scalable cloud infrastructure, backend services, and AI-driven platforms. At Amazon, I engineer multi-region infrastructure using AWS CDK and improve CI/CD reliability for production services.
I focus on distributed systems, microservices architecture, and backend development across Java, TypeScript, and Python. I’ve delivered measurable impact—33% reduction in infrastructure setup effort, 60% reduction in manual testing, 35% faster incident detection, and deployment of ML systems with 95% accuracy.
I strengthen observability and resilience by migrating 40+ monitoring alarms to AWS CloudWatch, and I support long-term maintainability through upgrades like JDK 17 migration. I also accelerate large-scale data pipelines and integrate AI models across teams to boost performance and user outcomes.
Experience
Work history, roles, and key accomplishments
Engineered automated multi-region infrastructure provisioning with AWS CDK, reducing region setup effort by 33% and enabling isolated test environments. Migrated 40+ monitoring alarms to CloudWatch, strengthening observability and reducing incident detection time by 35%, and resolved CI/CD failures to increase automated test pass rates from 45% to 100%.
Built and enhanced backend services with Java and Spring Boot to support 10K+ daily transactions with high reliability and 99.9% uptime. Improved REST API performance (25–30% faster), increased throughput and scalability, and reduced data access latency by 20% in critical financial workflows.
Software Development Engineer Intern
Allen Digital
Jan 2024 - Jul 2024 (6 months)
Architected AI-driven backend services for an academic platform, reducing query latency by 30% and improving user satisfaction by 15% by integrating OCR and computer vision models. Trained and deployed an object detection model achieving 95% accuracy and streamlined data pipelines to improve processing efficiency by 30%.
Implemented the Next Eligible Date Post 24-Hour Cooldown feature for SPQDS, reducing support tickets by 23% and boosting seller satisfaction by 30% for 10,000+ sellers. Built Java backend integrations to cut data retrieval latency by 60% and rebuilt frontend components with React, TypeScript, and Redux to improve page load performance by 25%.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Silchar
Bachelor of Technology, Computer Science
2020 - 2024
Grade: CGPA: 8.89
Pursued a Bachelor of Technology in Computer Science at NIT Silchar, graduating with a CGPA of 8.89.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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