PASALA PRAVALLIKA

I am a machine learning engineer with 2+ years of enterprise data engineering experience and practical ML development, focused on building production-ready AI systems. At PwC I architected data validation and ETL pipelines processing 50TB+ for Fortune 500 clients, ensuring ML-ready datasets.

I design and deploy LLM applications and RAG architectures, having launched three live systems including a production RAG chatbot, an image classification app, and a news Q&A pipeline using PyTorch, LangChain, FAISS, and HuggingFace tools. My work emphasizes reliability: prompt engineering to reduce hallucinations, model caching and inference optimization, and robust error handling for real-world inputs.

I thrive in remote, distributed teams and seek opportunities to build scalable AI products that bridge messy enterprise data and cutting-edge models. I bring strong deployment experience (Gradio, FastAPI, Docker), data engineering background (SAP migrations, Alteryx, SQL), and a pragmatic focus on measurable impact.