Sai Rakshith
Specializing in the design and deployment of secure, high-availability AWS ecosystems. Expertise spans Infrastructure as Code (CDK), Serverless Architecture.
Cloud Certifications
Earners of these certifications have an extensive understanding of designing technical strategies to accomplish specific business goals. They demonstrated the ability to balance best practices and trade-offs based on business context.
Engineering Scalable
Cloud Infrastructure.
AWS Ecosystem
Designing fault-tolerant, multi-region serverless architectures. Specialized in high-scale event-driven systems.
Zero Trust Security
Comprehensive IAM, WAF, & Shield coverage.
Infrastructure as Code
AWS Cloud Development Kit (CDK)
// Define scalable resources
new lambda.Function(stack, 'API', {...});
Core Engineering
Professional Journey
Senior Cloud Engineer
Leading cloud architecture initiatives, focusing on Serverless innovation and high-availability systems.
- Architected CI/CD workflows using AWS CDK (TypeScript), reducing manual deployments by 95%.
- Designed HA architectures with Amazon Aurora Global Databases supporting 10,000+ concurrent users.
- Implemented enterprise security (WAF, GuardDuty), achieving zero major security incidents.
- Leading AI Engineering initiatives using LLMs to enhance engineering workflows.
Cloud Engineer
Core member of the infrastructure team focusing on migration, observability, and cost optimization.
- Reduced Mean-Time-To-Resolution (MTTR) by 45% by integrating AWS X-Ray and CloudWatch.
- Engineered serverless functions (Lambda), reducing operational overhead by 70%.
- Achieved 99.9%+ API uptime via AWS Synthetics Canaries and EventBridge monitoring.
- Migrated on-prem workloads to AWS EC2/RDS and automated tasks using Python (Boto3).
Software Engineering Intern
Worked on automation applications and system efficiency improvements.
- Increased system efficiency by 15% through B&R Automation Studio.
- Collaborated on architecting application modules adhering to Object Oriented Analysis and Design principles.
- Translated complex technical requirements into functional code for production systems.
Featured Deployments
Engineering scalable cloud solutions. A collection of infrastructure as code, security pipelines, and automation tools.
Education & Certifications
Continuous learning is the core of my engineering philosophy.
Academic Background
M.Tech Artificial Intelligence & Machine Learning
BITS Pilani 2025 - 2027
M.Tech. Artificial Intelligence and Machine Learning is a 4-semester programme designed for working professionals to equip them with future-proof and relevant skills.
B.Tech in Computer Science
Amrita Vishwa Vidyapeetham 2018 - 2022
Amrita is a multi-disciplinary, research-intensive, private university, educating a vibrant student population of over 20,000 by 1700+ strong faculty.
Professional Certifications
AWS Security Specialty
Udemy Current
This exam validates your expertise in creating and implementing security solutions in the AWS Cloud.
Technical Writing
In-depth guides on cloud architecture, security patterns, and engineering resilience.