Software Engineer Development

Venkata Siva Naga Sai Aravind Kollipara

Seattle, WA +1-716-***-**** *******************@*****.*** LinkedIn SUMMARY

Software Engineer with 4+ years of experience in Java, Python, and AWS for full-stack development and cloud services. Proficient in CI/CD, TDD, and infrastructure as code. Skilled in data optimization, scalable system design, and performance tuning, with a focus on enhancing system reliability and efficiency. Strong collaborator, able to work cross-functionally to deliver high-quality, data- driven solutions in fast-paced environments.

EXPERIENCE

Software Development Engineer, Amazon. Seattle, USA 10/2022 – Present.

Designed and implemented scalable cloud-based backend scheduling services using Java, while leveraging CI/CD pipelines.

Conducted load testing for large-scale actions, such as generating and publishing schedules for up to 500 agents, later scaling to 12,000 agents, while validating performance under high-demand scenarios.

Implemented separate backfilling code in Java for existing DynamoDB data to integrate with new features.

Embedded Shift Exchange functionality into the existing backend scheduling shift services and documented the process for smooth knowledge sharing and future maintenance.

Enhanced asynchronous workflows to manage group activities for more than 500 agents, while implementing latency monitoring through CloudWatch alarms for p50 latency values in backend service to ensure seamless integration.

Developed and maintained REST APIS with Node.js and TypeScript, while optimizing its performance.

Worked with AWS Kinesis for real-time data processing and messaging, ensuring communication between microservices.

Applied expertise in databases such as RDS and DynamoDB to design high performance data storage solutions.

Employed test-driven development (TDD) and clean coding practices, and delivering code for long-term maintainability.

Led the migration of Java Development Kit (JDK) from JDK 8 to JDK 17 and upgraded Cloud Deployment Kit (CDK) version from CDK V1 to CDK V2, ensuring compatibility and utilizing new features to enhance infrastructure-as-code practices.

Collaborated with other product teams to prioritize and implement client Santander specific requirements. Application Development Associate, Accenture. Hyderabad, India 01/2021 – 06/2021.

Developed a hotel recommendation application which is integrated with ratings, awards, proximity, and user preferences to improve recommendation accuracy by 25% with help of Java and RESTful APIs.

Implemented real-time data updates and personalized features, collaborating with clients to meet requirements, while developing and executing test cases to improve test quality and ensure code reliability.

Achieved a 30% increase in user satisfaction and a 20% rise in booking rates through optimized functionality. Database Developer, BNP Paribas. Chennai, India 01/2020 – 12/2020.

Resolved data processing issues, optimized SQL queries and database schemas for better performance and scalability which resulted in improving system uptime by 9%.

Tested and developed scalable backend solutions to efficiently support a larger number of agents.

Created Tableau dashboards to visualize sales and compensation data, boosting reporting efficiency by 20% and project completion rates by 15%.

SKILLS

Programming Languages: Python, Java, Ruby, Linux, C++, HTML, CSS, JavaScript, Golang, Rust, Docker, Spring, Spring Boot Databases: SQL Server, NoSQL, Cosmos DB, Snowflake Cloud, Databricks, Redshift, Kusto Query Language (KQL), Kafka Frameworks and Tools: ReactJS, Django, Apache Solr, AWS, RESTful API, JIRA, Git, Angular, PostgreSQL, Kafka, Kubernetes KEY PROJECTS

Multilingual Search Engine for Analysis of COVID related tweets on Twitter (Solr, AWS)

Established end-to-end search engine which involves content ingestion, tokenization and topic categorization.

Executed sentimental analysis on extracted tweets from three different languages and indexed around 300,000 tweets on Solr, and also launched web application in AWS cloud using Django, Python, HTML. Created an ERC 20 token for Car Market Place System (Blockchain-React UI)

Introduced currency system on Ethereum (ERC-20) which is used for payments in a particular domain.

Created DApp (Decentralized application) which is a web/enterprise application using JavaScript that contains decentralized smart contract logic to invoke blockchain functions. Neural Networks for Bird Species Classification.

Worked on a Deep Learning project using convolutional Neural Networks Methodology for bird species identification, achieving 90% accuracy. Preprocessed audio data through Clustering, Re-Sampling, segment identification, and spectrogram computation.

Implemented dropout layers in the model design to prevent over-fitting, Enhanced model performance to 93% by integrating VGG16 transfer learning, demonstrating expertise in leveraging existing data models for accuracy improvement. EDUCATION

Master of Science in Computer Science, University at Buffalo, NY. August 2021 – August 2022 Bachelor of Technology in Information Technology, SRMIST, India. August 2016 – May 2020

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