Vaibhavi Ponna

Computer Science (AI & ML) undergraduate with hands-on experience debugging and validating full-stack applications, performing data-driven root-cause analysis, and building AI/ML systems end-to-end. Skilled in Python, SQL, and web technologies, with a strong foundation in identifying functional issues across frontend, backend, and database layers, and translating them into stable, production-ready fixes. Comfortable working across AI-generated codebases, testing edge cases, and communicating technical findings clearly.

Eager to help ensure the correctness, stability, and reliability of AI agent-driven production systems.

AI-ML Intern - Blackbucks (APSCHE)

(2025-01 - 2025-04)

• Completed a long-term AI/ML internship applying core ML and data-analysis concepts to real-world, hands-on projects.
• Performed end-to-end Exploratory Data Analysis (EDA) on the "Uber Rides Data Analysis" project using Python (Pandas, NumPy) to uncover ride patterns, distance preferences, and usage trends, strengthening data-driven debugging and root-cause thinking.
• Built and validated data visualizations to surface anomalies and trends, an approach directly applicable to monitoring and diagnosing AI system behavior in production.

B.Tech - Computer Science (Artificial Intelligence & Machine Learning) - CMR Institute of Technology, Hyderabad (2023 - 2026)

Diploma - Mechanical Engineering - Government Polytechnic, Masabtank (2020 - 2023)