Available to hire
I am Rama Krishna Marella, an AI Engineer with 5 years of experience in designing predictive models and scalable ML pipelines. I specialize in fine-tuning LLMs, prompt engineering, and deploying RAG-driven automation on cloud platforms to enhance operational efficiency and clinical decision-making in health systems.\n\nI am driven by system thinking and research to resolve complex AI challenges, always aiming to improve patient care and healthcare operations through practical, collaborative solutions.
Skills
Experience Level
Expert
Expert
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Expert
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Intermediate
Language
English
Fluent
Work Experience
Generative AI Engineer at Software Resonance Group
August 1, 2024 - PresentDeveloped and deployed a full-stack digital solution integrating Retrieval-Augmented Generation (RAG) and agentic chatbot capabilities to support automated lead generation and qualification for insurance and retirement planning, aligning with production-ready predictive model deployment strategies in agile environments. Designed and deployed a regulatory-compliant, adaptive chatbot using CrewAI to enhance customer data collection and decision-making. Optimized prompt design, memory buffer tuning, and retriever calibration to improve conversation efficiency and accuracy, contributing to a 30% increase in overall system accuracy. Led deployment pipelines and cloud scaling with Docker, Kubernetes, and AWS to ensure robust, scalable operations. Collaborated with cross-functional teams to align innovations with business, regulatory, and client requirements, including RESTful API integrations.
Generative AI & ML Engineer at Delta Analytics
June 1, 2022 - July 1, 2024Led development and deployment of a Car Recommendation Chatbot leveraging retrieval-augmented generation (RAG) and agentic frameworks to deliver contextual, real-time recommendations. Built semantic ingestion and retrieval engine using Pinecone and BM25 to process automotive datasets, achieving a 7% increase in retrieval accuracy and a 4x speed improvement with robust data governance. Implemented memory-aware dialogue management with CrewAI for persistent context across multi-turn interactions. Containerized backend services with Docker and Kubernetes and orchestrated deployments with CI/CD pipelines on AWS. Enhanced modular integration by employing CrewAI-powered agents and hybrid retrieval techniques for scalable, future-ready ML solutions.
Machine Learning Engineer at SmartData Insights
July 1, 2020 - May 1, 2022Engineered, trained, and deployed ML models for NLP, recommendation systems, and question-answering applications, demonstrating proficiency in AI model development. Built containerized inference pipelines and automated retraining systems to improve scalability and resilience in cloud-hosted ML environments. Designed drift detection and KPI monitoring solutions to ensure continuous performance evaluation and robust data governance for deployed models.
Education
Master of Science at Clark University
January 11, 2030 - February 16, 2026Qualifications
AWS Certified Cloud Practitioner
January 11, 2030 - February 16, 2026Industry Experience
Software & Internet, Healthcare, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
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