Yaswanth V

I am a Data Engineer focused on building production-ready data warehouses and Generative AI solutions that bridge data architecture with LLM-driven automation. I design ETL processes, data quality rules, and cloud-native schemas using tools like BigQuery, Airflow, and PostgreSQL to ensure reliable, scalable data platforms.

I have hands-on experience developing RAG-driven applications and LLM-integrated interfaces — from a Virtual Hiring Chatbot and RAG-powered news Q/A system to job-specific cold email generators — leveraging frameworks such as Hugging Face, LangChain, ChromaDB, and FAISS.

My background includes designing deep learning models with TensorFlow/Keras for forecasting, implementing containerized deployments, and producing BI reports via Superset and PowerBI. I prioritize clean data engineering, reproducible ML workflows, and delivering impactful, automated solutions for production environments.