Raghava Reddy Tera

Background

About Raghava Reddy Tera

Seasoned AI/ML Developer with comprehensive expertise in pioneering generative AI infrastructures akin to AWS SageMaker, and spearheading the integration of scalable ML platforms for seamless AI model deployment and recommendation systems, with a strong emphasis on NLP and generative AI, protein enhancements. Instrumental in backend development for AIWorkBench, utilizing LangChain, LangGraph, Crew AI,multi agent workflows with multiple LLMS and RAG Pipelines for superior natural language processing projects. Advanced proficiency in vector databases (Pinecone, ChromaDB) for efficient, high-dimensional data management. Excelled in automating contract reviews via OpenAI API and optimized entity extraction from contracts using Python, NER, and custom-tuned LLMs on AWS. Adept in traditional ML techniques, including predictive algorithms and ensemble models, coupled with robust MLOps practices (CI/CD pipelines, model versioning, real-time monitoring) to ensure AI infrastructure's reliability and scalability across applications. Deeply skilled in Python, cloud technologies (AWS, Azure ML Studio), and ML frameworks, driving significant advancements in AI applications and operational efficiency.