Sowjanya Butukuru

Houston,TX

Summary

Apigee Developer with solid experience in designing and deploying REST APIs. Expertise in API proxy development, traffic management, and security implementations using OAuth2 and JWT. Proficient in Java, JavaScript, and Python, with a commitment to maintaining high-quality API documentation and supporting CI/CD processes.

Overview

years of professional experience

Work History

Apigee Developer

SID Global Solutions

HYDERABAD, INDIA

08.2021 - 08.2023

Designed, developed, and deployed REST APIs using Apigee Edge.
Created and managed API proxies, traffic management, security, and mediation policies to ensure robust API performance and compliance.
Implemented API security protocols using OAuth 2.0, JWT, and API key management to safeguard sensitive data.
Developed OpenAPI specifications (Swagger/YAML) and maintained end-to-end API documentation.
Collected and analyzed requirements to build scalable, secure, and reusable API solutions.
Collaborated with architects, developers, and QA teams in an agile environment.
Supported CI/CD pipelines and performed code reviews to enhance code quality while collaborating with GitHub and Jira for effective development tracking.

Education

Masters - Applied Data Science

Clarkson University

Potsdam, NY

12-2025

Bachelor of Technology - Computer Science

Vikas College of Engineering and Technology

Skills

API & Cloud : Apigee, Postman, Swagger/OpenAPI
Languages: Java, JavaScript, Python, R Studio

Tools: SQL,YAML,XML,XSLT, GitHub, Jira
Frameworks: Shiny, Time Series Forecasting (ETS, Holt, SES)

Projects

Forecasting Time Series, 01/01/25, 12/31/25, Developed an interactive Shiny dashboard using FRED commodity datasets to perform time series forecasting with ETS, Holt, and SES models. Incorporated train/validation/test splits, customizable alpha, beta, and gamma parameters for multiple products, and forecast validation with accuracy metrics.
LLaMA Model Evaluation Project, 08/01/25, 12/31/25, Compared LLaMA model versions by generating synthetic home prices and movie reviews and evaluating accuracy using real datasets. Deployed large LLMs on AWS EC2 and analyzed performance.

Timeline