Akash Kiran Korada
Software Development Engineer • Arizona, United States • a*************@gmail.com • 602****576 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Software Development Engineer with 1+ years of experience building serverless, event-driven applications and backend systems on AWS. AWS Certified Solutions Architect (Associate) with hands-on experience using Lambda, Step Functions, AWS CDK, CloudWatch, and NLB. Proven record delivering Infrastructure-as-Code, automated migration/orchestration platforms, and monitoring that reduced operational overhead, accelerated provisioning, and improved reliability.
Technical Skills
Programming Languages: Python,Java,C++,JavaScript,TypeScript,R
Web Technologies: REST APIs
Frameworks and Libraries: Flask,FastAPI,Microservices
Databases: SQL,PostgreSQL,MySQL,MongoDB
Cloud and DevOps: AWS Lambda,AWS Step Functions,AWS CDK,Amazon EC2,Amazon S3,Amazon CloudWatch,VPC & IAM,Network Load Balancer,Serverless Architecture,Infrastructure as Code,Docker
Data and Analytics: Apache Spark,Power BI,Tableau,Data Modeling
Tools and Methodologies: Git,Monitoring & Logging,Event-driven Design,Deployment Automation,Agile,Scrum
Work Experience
Amazon.com Inc
Software Development Engineer Intern
May 2025 – August 2025
Built serverless migration and orchestration tooling for AWS networking (VPCE) as part of Amazon's cloud engineering internship program; focused on automation, observability, and secure operations.
Tech Stack: AWS Lambda, AWS Step Functions, AWS CDK, Amazon CloudWatch, VPC, IAM, Network Load Balancer, Serverless, Python
- Spearheaded design and implementation of an automated VPCE migration platform, reducing per-migration time from 3–4 hours to under 5 minutes and eliminating 300+ manual hours during rollout.
- Architected and deployed a serverless, event-driven solution using AWS Lambda, Step Functions, and AWS CDK to orchestrate migrations across 50+ AWS environments, enabling fully automated end-to-end workflows.
- Built fault-tolerant orchestration with retry logic, rollback handling, and pre-migration validation checks, cutting customer-impacting failures by 40% and improving migration reliability.
- Standardized infrastructure provisioning via AWS CDK IaC patterns, reducing environment provisioning time by 60% and ensuring consistent configuration across staging and production environments.
- Implemented centralized monitoring and structured logging using Amazon CloudWatch to surface errors and metrics, decreasing mean time to detection by 35% and accelerating root cause analysis.
- Collaborated with three cross-functional engineering teams to produce technical design documentation and enforce IAM least-privilege and AWS Well-Architected practices, strengthening security posture and operational readiness.
Tata Consultancy Services
Software Development Engineer Intern
June 2023 – August 2023
Developed Linux-based monitoring, alerting, and deployment automation for production services while working with Agile teams to improve operational visibility and release stability.
Tech Stack: Linux, Bash, Python, Monitoring & Alerting pipelines, Deployment Automation, Log aggregation
- Designed and deployed Linux-based monitoring solutions to collect CPU, memory, disk utilization, logs, and system metrics across 20+ servers, improving infrastructure visibility for operations.
- Streamlined monitoring and alerting pipelines using scripting and operational tooling, reducing manual monitoring effort by 30% and shortening incident response time by 25%.
- Implemented performance tuning and deployment automation for five production services, contributing to a 20% improvement in application stability during releases.
- Collaborated in Agile teams on debugging, root cause analysis, and technical documentation, which increased sprint delivery efficiency by 15% through faster issue resolution.
- Built automated log collection and basic aggregation scripts to accelerate troubleshooting and reduce mean time to repair for common infrastructure incidents.
- Authored runbooks and knowledge-transfer documentation for on-call engineers, standardizing incident response procedures and reducing onboarding time for new operators.
Projects
Finance Database System
Tools Used: SQL, Database Design, Data Analytics, PostgreSQL
- Designed and implemented a financial data management system with integrity constraints and audit mechanisms to ensure data correctness across 10,000+ records.
- Built advanced SQL automation and reporting to enable real-time financial reporting with validated test datasets and achieved 99.9% data accuracy.
Weather Application
Tools Used: Python, Tkinter, REST APIs, OpenWeatherMap API, Postman
- Developed a desktop weather application using Tkinter with geolocation and OpenWeatherMap API integration to deliver real-time weather updates with timezone conversion.
- Implemented secure API handling and robust error management; validated endpoints and workflows with end-to-end Postman tests achieving full coverage.
Education
Arizona State University
Master of Science in Information Technology • United States • December 2025
Coursework: Data Structures & Algorithms, Cloud Computing, Advanced Database Management Systems, Big Data Analytics, Software Engineering
GVP College Of Engineering
Bachelor of Technology in Electronics and Communication • India • August 2023
Coursework: Object-Oriented Programming, Data Analytics, Operating Systems, Computer Networks
Certifications
AWS Certified Solutions Architect – Associate — Amazon Web Services
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