Software Development Engineer

Cherish Dayala

+1-832-***-**** ***************@*****.*** linkedin.com/in/cherishdayala

TECHNICAL SKILLS

● Programming Languages:Java, Python, Object Oriented Programming, C#, PL/SQL

● Web Technologies & DB:React JS, Vue JS, Angular JS, MySQL, NoSQL, MongoDB, JavaScript, TypeScript, HTML, CSS, PHP

● Frameworks and API:Spring Boot, Spring MVC, REST APIs, Microservices, Hibernate, Maven

● Cloud and Proficient tools:AWS (DynamoDB, Lambda, EC2, SQS, S3), SCRUM oriented Agile, Design Patterns, ML, Test Driven Development (TDD), JUnit, Mockito, Kubernetes, Jenkins, CI/CD,Docker, Git, WEKA, Azure PROFESSIONAL EXPERIENCE

Software Development Engineer, Amazon, USA Jun 2022 – Present

● Pioneered a groundbreaking functionality named “Language of Preference,” streamlining translation of customer emails with 80% efficiency to expedite verification of Amazon business clients.

● Spearheaded development of a fraud prevention feature that is 85% efficient increasing detection accuracy by 100+ cases weekly, and reducing fraudulent transactions by 85% across key markets.

● Implemented VAT split payments feature on Amazon, enhancing invoicing efficiency by 70% and tax compliance by 60% for sellers, particularly benefiting specific Italian clientele having different taxation rules.

● Crafted intuitive widgets with collaboration with cross functional teams using React JS, reducing profile search time by 6 hours daily, accelerating verification by 80%, and providing investigators with better insights.

● Architected an automated infrastructure using a serverless AWS Lambda function that activates upon CSV file uploads to an S3 bucket saving 8 developer hours per week by integrating an SQS subscription to an upstream dependency’s SNS.

● Enhanced an existing CI/CD pipeline using CDK and Jenkins, achieving full continuous deployment by incorporating 90% integration test support and implementing rollback alarms.

● Collaborated on design algorithms in Agile, reducing bug fix time by 50% and identifying approximately 7 performance bottlenecks per sprint, leading to more efficient and effective development cycles.

● Provided code reviews to ensure quality, scalability, and compliance with best practices and, Delivered proactive on-call support, managing production issues from diagnosis to resolution while implementing long-term preventive solutions. Software Developer, University of Houston, USA Sep 2021 – May 2022

● Devised an automated system for increased data entry efficiency by 85% through automating Oracle Campus Solutions integration using Java, SQL, and Spring Boot for student data categorization.

● Formulated a document upload feature in the university portal with React JS, AWS S3, reducing manual processing by 4 hours/day and improving productivity by 70%.

● Conducted data integrity analysis in PeopleSoft Oracle using Python, MongoDB, reducing discrepancies by 60% and ensuring consistent updates.

● Improved user engagement by 70% through development of a feature icon for university portal using Vue JS, REST APIs, enhancing user experience.

Software Engineer, Infosys, India May 2020 – Dec 2020

● Developed a Loan Origination and Processing System for a fintech client using Java, Spring Boot and Hibernate, which reduced loan processing time by 45% and increased application throughput by 30%.

● Designed and instituted a modular architecture that allowed the client to easily integrate new loan products, resulting in a 20% faster time-to-market for new offerings.

● Optimized the credit scoring algorithm by integrating with third-party credit bureaus via RESTful APIs, improving loan approval accuracy by 25% and reducing default rates by 15%.

● Integrated with the client’s existing CRM and payment gateways to automate customer communication and payment processing, reducing manual intervention by 60% and ensuring 99.9% payment accuracy. Software Engineer Intern, Infosys, India Feb 2020 – Apr 2020

● Enforced a service layer in java using Spring, improving data processing speed by 40% and reducing latency between layers, ensuring faster and more reliable data transfers.

● Enhanced RESTful APIs and JDBC code, reducing system errors by approximately 100 incidents per week and increasing overall stability, contributing to more robust and reliable software performance. EDUCATION

Master of Science, Computer Science May 2022

University of Houston Houston,Texas

Bachelor of Technology, Computer Science and Engineering May 2020 Gayatri Vidya Parishad College of Engineering(A)

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