Venkat Reddy Boya

Designed and deployed end-to-end AI applications using Python, Django, TensorFlow, Keras, and MySQL in Linux, achieving a 25% improvement in deployment speed via Jenkins-based CI/CD pipelines. Automated data parsing and validation workflows with Python scripts, improving test coverage by 30% and reducing manual QA time. Built and consumed RESTful APIs for data exchange, enabling faster integration across systems and cutting API response times by 20%. Enhanced data-driven applications by integrating Pandas, NumPy, and MongoDB, improving large dataset handling efficiency by 40%. Implemented ML classification models for anomaly detection in system logs, reducing false alerts by 18% and improving monitoring accuracy. Collaborated with cross-functional teams in Agile sprints, delivering scalable features with a 95% average on-time sprint completion rate.

Developed dynamic AI applications with Python, TensorFlow, Django ORM, and layered/event-driven architecture, improving system modularity and reducing defect rates by 15%. Wrote Python scripts for data extraction from HTML. Built and optimized ETL pipelines and SQL queries for Redshift, reducing query execution time by 35% and improving reporting efficiency. Automated AWS infrastructure tasks (EC2 scaling, RDS monitoring, Lambda triggers) with Python scripts, lowering operational workload by 20%. Developed a web-based application using the Django framework with Python concepts. Generated Python Django forms to maintain the record of online users. Used Django APIs to access the database. Implemented ML models (classification & regression) in Python to forecast sales demand, improving the accuracy of business planning by 22%. Applied Deep Learning (CNNs with TensorFlow & Keras) for image-based quality checks, improving detection accuracy from 70% to 91% in production use cases. Provision