Manaswini Upadhyayula
@manaswiniupadhyayula
I build scalable AWS infrastructure, automate deployments, and resolve production reliability issues.
What I'm looking for
At AI Vectors.org, I architected a three-account AWS environment for a HIPAA-compliant healthcare AI platform designed to scale to 10,000 concurrent users. I restored platform availability during five concurrent production outages by resolving NGINX misconfigurations and redesigning least-privilege IAM access across 16 AWS services.
I re-architected the application server from Uvicorn to Gunicorn, resolving the timeout conflict behind 89.6% of production 502 errors. I also engineered Redis and DynamoDB DAX caching that reduced peak database queries from 10,200 to about 100 while preserving PHI handling.
Through ElitTech, I deployed a fully serverless AWS platform with Terraform, GitHub Actions, CloudWatch, and SNS alerting, reducing deployment time from 15 minutes to under 30 seconds. I enjoy owning infrastructure from IaC and CI/CD through monitoring, security, and operational debugging.
I also build full-stack products independently, including an AI Gym Trainer using TensorFlow.js and a microservices e-commerce platform running Node.js, Java, Python, RabbitMQ, NGINX, MongoDB, MySQL, and Redis.
Experience
Work history, roles, and key accomplishments
DevOps Engineer Intern
AI Vectors.org, AMTZ
Jun 2026 - Present (2 months)
Architected a multi-account AWS environment with SSO and cross-account IAM, designed to scale to 10,000 concurrent users. Resolved 5 concurrent production outages and cut database load by 99% through a two-layer Redis/DynamoDB DAX caching architecture.
Education
Degrees, certifications, and relevant coursework
Vignan's Institute of Information Technology
Bachelor of Technology, Information Technology
2022 - 2026
Grade: 8.5/10
Pursuing a Bachelor of Technology in Information Technology with a CGPA of 8.5/10.
Availability
Location
Authorized to work in
Job categories
Skills
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