Prakash pahi

Developed ML models for Oracle cloud Autonomous Database for Performance improvement, data tuning, Provisioning, Patching etc. Developed RAG based Multi Agentic model in Oracle Heatwave. Developed Closed domain Q&A model for User guide on Autonomous database analyzing MOS notes using NLP. Natural Language to SQL Generation on Autonomous Database. Contributed to Oracle AutoML & Heatwave tools. Designed MLOps pipeline, including data processing, model training, and deployment. Implemented prompt engineering based large language model inference pipeline. Researched on new SOTA algorithm/model for use case improvements. Implemented automated testing and monitoring for ML models. Incorporated business logics to address unique edge cases. Fine-tuned and retrained models for improved performance. Collaborated with teams to improve model performance. Designed and developed systems to extract information from large-scale data.

Collaborated with data science and engineering teams to improve model performance. Designed backend support with Python and FastAPI for MRI application. Optimized code for performance and scalability with team members. Developed and implemented ML model for Predicting Aircraft Engine maintenance using XGBoost. Developed ML model to provide Technical Insight on Aircraft Engine. Conducted unit testing and debugging.