SaiPrasad Chindam

I’m a B.Tech Computer Science & Engineering student (3rd Year) building toward real production impact, with coursework in Data Structures & Algorithms, DBMS, SQL & Relational Databases, System Design (HLD/LLD), and Data Engineering & ETL concepts.

As an AI Intern — Artificial Intelligence, Machine Learning & Azure Cloud, I built and deployed AI/ML models on Microsoft Azure and gained hands-on experience with Azure Cognitive Services, Azure OpenAI, and cloud-native data pipelines. I reduced pipeline errors by 25% by developing ETL-style pipelines with Azure Data Factory and Azure SQL, applying batch processing and Generative AI while validating responsible AI usage.

In my projects, I combine system design, data engineering, and testing to ship measurable outcomes: Shortify cut query latency by 40% with Redis caching and delivered 99.9% uptime for 500+ active users; EduBridge AI improved re-explanation cycles by 35% using an AI pipeline (Speech-to-Text ! GenAI ! TTS) and achieved 72% retention in beta; and my AI Digital Twin Platform improved simulation accuracy by 30% using ETL/data orchestration with Python + FastAPI and multi-cloud deployment planning.