Supreeta Anand Byatnal

Software Engineer

Hyderabad, Telangana, India4 yrs 11 mos experience

Most Likely To Switch

Key Highlights

Revamped SaaS application into microservices, enhancing maintainability.
Led development of compliance feature adopted by 80% of customers.
Automated AWS resource management, reducing costs by 40%.

Stackforce AI infers this person is a Fullstack Software Engineer with a focus on SaaS and Cloud Computing.

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Skills

Core Skills

JavaMicroservicesCloud ComputingCi/cdSpring Boot

Other Skills

AJAXAWSAmazon Web Services (AWS)AngularAzureBootstrapCC++CSS3Cascading Style Sheets (CSS)Cloud Computing IaaSCloudWatchCommunicationConfluenceData Structures

About

I completed my Masters degree in computer science at New York University, where I learnt some cutting-edge technologies and skills I am passionate about building cool things and solving challenging problems with code. I have experience in full stack development, using the MERN stack, MySQL, and MongoDB, as well as in software engineering, working as a former SDE II at McAfee. I am an active member of Rewriting The Code, Women Who Code, and Women in Tech communities, where I network with other women in tech, share insights and resources, and support diversity and inclusion in the industry. I am also a volunteer engineering manager at Develop for Good, where I lead a team of five engineers in creating a platform for art organizers and educators to connect and collaborate. I am always looking to learn new technologies and expand my horizons. I am actively looking for new grad May 2024 SWE roles, where I can apply my skills and knowledge, contribute to impactful projects, and grow as a professional. I love networking with people, so please feel free to connect with me if you want to discuss anything related to software development, computer science, or tech in general.

Experience

4 yrs 11 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Amazon

Software Engineer

Aug 2024 – Present · 1 yr 9 mos

Sovos

Software Engineer Intern

Jun 2023 – Nov 2023 · 5 mos · Wilmington MA

Revamped a SaaS monolithic application into microservices using Java 17, improving modularity and
maintainability.
Devised REST APIs for mapping location codes, boosting scalability by 60% and enhancing data
retrieval efficiency.
Optimized unit testing with Mockito, reducing defects by 70% and testing time by 75%, ensuring high-
quality code.

Java 17REST APIsMicroservicesJava

Mcafee

2 roles

Software Development Engineer

Aug 2020 – Jun 2022 · 1 yr 10 mos

Minimized policy scanning and violation detection times by 50% for AWS, Azure, and GCP cloud
resources in Java.
Led the development of the Continuous Evaluation feature enforcing compliance checks, adopted by
80% of customers.
Utilized AWS CloudWatch for activity monitoring of 600+ events, integrated with Kafka for real-time
processing.
Implemented APIs for faster, accurate incident recognition and boosting reporting efficiency, adopted
by 1,500+ companies.
Fixed 50+ complex S3 policy bugs using Java and RESTful APIs, enhancing stability and speeding up
issue resolution.
Crafted a Python script to automate the termination of unused AWS resources, cutting cloud costs by
40%.

JavaAWSCloudWatchKafkaRESTful APIsCloud Computing

Software Engineer Intern

Feb 2020 – Aug 2020 · 6 mos

Spearheaded the development of REST APIs in Java for crate database migrations, achieving a 99%
success rate.
Implemented CI/CD Jenkins processes by automating over 1,000 test cases using Pytest, reducing
manual testing efforts.
Achieved 97% code coverage using JUnit and Mockito for unit and integration testing for multiple Java
micro-services.

JavaREST APIsCI/CDJenkins

Deloitte

Software Analyst Intern

Aug 2019 – Jan 2020 · 5 mos · Bengaluru, IN

Assisted in developing and maintaining a Java-based enterprise application using Spring Boot and
Hibernate, contributing to a 20% increase in performance.
Participated in implementing and optimizing RESTful APIs and NoSQL database, improving data
exchange efficiency and reducing query times by 30%.
Supported the automation of the deployment process using Jenkins and Docker, minimizing deployment
issues and reducing time to release.

JavaSpring BootHibernateRESTful APIsJenkinsDocker