Pravallika Kukunuru

Experienced Machine Learning Engineer with 4 years of expertise in ML, MLOps, and Generative AI. Proven track record includes developing and deploying advanced models that deliver measurable business impact, such as improving healthcare claims prediction accuracy by 8% and reducing claims processing time by 30% through optimized XGBoost models at Cognizant. Successfully reduced Azure infrastructure costs by 15% while simultaneously cutting development environment provisioning time by 90%. Technical expertise spans the complete ML lifecycle, from building end-to-end pipelines using AWS SageMaker, Kubeflow, and Vertex AI to implementing sophisticated RAG pipelines and fine-tuning transformer models like BERT and GPT-4 for real-world applications. Problem-solving approach combines deep technical knowledge with strategic thinking to address complex business challenges. Engineered AI-powered gaming frameworks that improved in-game AI performance by 35% and reduced manual tuning efforts by 50% through innovative reinforcement learning algorithms. Excels at identifying bottlenecks and implementing solutions that scale, including designing multi-region disaster recovery strategies ensuring 99.99% availability, optimizing GPU costs by 25% through containerized AI solutions, or building robust monitoring systems with Grafana and Prometheus. Experience with diverse industries, from healthcare at Centene Corp to travel at Expedia, has honed the ability to adapt ML solutions to specific domain requirements while maintaining high standards for accuracy and reliability. Drawn to organizations that value innovation and continuous improvement. Combination of advanced technical skills including expertise in TensorFlow, PyTorch, cloud platforms (AWS, Azure, GCP), and MLOps tools, along with a proven ability to deliver cost-effective, scalable solutions makes an ideal candidate. Eager to bring a passion for solving complex problems through AI and a commitment to driving measurable business outcomes to contribute to an organization's continued success in leveraging machine learning for competitive advantage.