About
Highly accomplished Cloud Developer and Software Engineer with a Master's in Information Technology and a strong background in optimizing cloud infrastructure, enhancing backend performance, and developing AI/ML solutions. Proven ability to drive significant improvements in system throughput, reduce operational costs, and accelerate development cycles, as demonstrated by a 35% increase in Lambda throughput and 40% reduction in deployment errors. Adept at leveraging AWS services, microservices, and advanced testing methodologies to deliver robust and scalable software solutions.
Work
Remote, US
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Summary
Currently serving as an AWS Cloud Developer, Arshad Shaik optimizes cloud infrastructure and operations, driving significant improvements in system performance, cost efficiency, and reliability for critical applications.
Highlights
Improved Lambda throughput by 35% using AWS provisioned concurrency for concurrency controls and cold-start mitigation.
Reduced RDS query latency by 28% by refactoring queries and optimizing connection pooling with SQLAlchemy for PostgreSQL.
Achieved $2,000 monthly cost savings in S3 by implementing lifecycle policies and automated archival for infrequently accessed objects.
Enabled real-time alerting by integrating SES and CloudWatch for async job success and failure notifications.
Reduced deployment errors by 40% by refactoring Terraform IaC scripts and validating environment variables pre-deploy.
Bangalore, India
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Summary
As a Software Engineer at Capgemini Technology Services, Arshad Shaik enhanced backend performance and streamlined development processes, contributing to improved system efficiency and faster delivery cycles.
Highlights
Boosted backend performance by 45% through migrating monolithic modules to Spring Boot microservices with asynchronous communication.
Automated QA reporting process using Jenkins pipelines and SonarQube, reducing manual efforts by 60%.
Accelerated customer onboarding by 22% by redesigning account creation flow and caching frequent form metadata.
Reduced build pipeline duration by 33% by parallelizing unit and integration tests within CI/CD.
Enhanced test reliability by integrating Testcontainers and embedded PostgreSQL setups for robust service testing.
Bangalore, India
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Summary
As a Test Automation Intern at QSpyder's, Arshad Shaik identified critical bugs and optimized testing processes, significantly improving software quality and efficiency.
Highlights
Identified over 40 critical UI bugs pre-release by implementing Selenium-based visual regression tests across responsive layouts.
Accelerated API test cycles by 50% by developing Python-based test harnesses and reusable mock libraries.
Improved cross-browser reliability by decreasing false failures by 33% through custom wait strategies in Selenium scripts.
Increased test feedback loop speed by 60% by integrating headless browser runs in CI with detailed HTML reports.
Reduced onboarding effort for junior QA engineers by creating internal Wiki and reusable template scripts.
Skills
Programming Languages
Python, Java, JavaScript, SQL, Bash.
Frameworks & Libraries
Spring Boot, Flask, TensorFlow, Selenium, PyTest.
Cloud & DevOps
AWS Lambda, AWS API Gateway, AWS Step Functions, AWS S3, AWS Aurora RDS, AWS SES, AWS EC2, Docker, Jenkins, CI/CD, Git, GitHub Actions.
Databases
PostgreSQL, MySQL, Redis, MongoDB.
Tools & Platforms
Linux, Postman, VS Code, Agile, JIRA.
Technical Concepts
REST APIs, Microservices Architecture, System Design, Fault Tolerance, Unit Testing, Load Balancing.
AI Tools
Cursor, Lovable, Trae, Bolt, Rocket and Emergent.