Bhuvana Chendrica Gogineni

About Bhuvana Chendrica Gogineni

I began my career in QA automation, where I learned how much precision and reliability matter in software. Writing test suites and validating data quality gave me a strong foundation in catching the small details that keep big systems trustworthy.Over time, my role at Affinity Solutions expanded beyond QA. I started working with backend teams on identity resolution pipelines, validating high-volume client data workflows on AWS (Athena, S3, Redshift) and supporting data delivery. I discovered that I enjoy not just finding bugs, but improving the systems that prevent them.Now, I’m exploring how AI/ML can make QA smarter. From anomaly detection to Retrieval-Augmented Generation (RAG) and Snowflake Cortex semantic functions, I’m experimenting with ways to bring intelligence into testing and validation.Along the way, I’ve built projects like a CNN face recognition model (98.95% accuracy), a fake profile detection system published in and a full-stack student portal used by 200+ weekly users.Skilled in Python, Java, SQL, Node.js, React, AWS, Selenium, Cypress and ML frameworks (PyTorch, Scikit-learn, LangChain), I bring an engineering mindset for scalability, a QA mindset for reliability and a curiosity for innovation driven by AI.I’m open to opportunities in QA automation, backend engineering, data quality, full-stack development and AI/ML engineering.

Experience

1. Data and Software Engineer

   Affinity Solutions

   Jun 2024 — Present · NY, US

Education

• Arizona State University

  Master of Science - MS

  2022 — 2024

• Vellore Institute of Technology

  Bachelor of Technology - BTech

  2018 — 2022