Harshavardhan Reddy Arimanda ✌️

• Designed and deployed production grade RAG-powered conversational agents for patient support systems, leveraging LangChain and LlamaIndex to enhance context-aware retrieval.
• Implemented LLM evaluation frameworks for response accuracy, coherence, and compliance using both automated metrics and human feedback loops.
• Developed fine-tuned LLM pipelines (using QLoRA and PEFT) for healthcare document summarization, improving response precision by 30%.
• Integrated AI models into existing systems via FastAPI and secure REST microservices, ensuring HIPAA compliance and low latency inference.
• Collaborated on deploying AI workloads within Azure cloud environments, leveraging AKS for scalable inference.

• Built and maintained AI-driven financial analytics systems, predicting customer churn and credit risk using ML models in TensorFlow and Scikit-learn.
• Led the development of real-time dashboards and APIs for business intelligence using Flask, React.js, and PostgreSQL.
• Deployed deep learning models (CNN, RNN) for fraud detection and document classification, achieving up to 92% F1-score on validation data.
• Designed automated MLOps pipelines integrating MLflow, Airflow, and Docker for continuous model training and deployment.
• Mentored junior developers in ML model design and full-stack integration, improving project delivery timelines by 20%.