Bhavya Vankayalapati

Skills

GenAI, Large Language Models (LLMs), Azure OpenAI, GPT-4, Retrieval-Augmented Generation (RAG), LangChain, Natural Language Processing (NLP), Machine Learning, Explainable AI, SHAP, XGBoost, LightGBM, Python, SQL, PySpark, Apache Spark, Kafka, Spark Streaming, Real-Time Data Processing, Feature Engineering, Model Monitoring, Drift Detection, FastAPI, REST APIs, Docker, Kubernetes (AKS), MLOps, MLflow, CI/CD, Linux, Git, Cloud Computing

About

GenAI Engineer with strong experience designing, building, and deploying production-grade AI and machine learning solutions across financial services, healthcare, retail, and enterprise platforms. Specialized in Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) using Azure OpenAI (GPT-4) and LangChain.

Hands-on experience developing real-time and batch data pipelines using Python, SQL, PySpark, Apache Spark, Kafka, and Spark Streaming. Proven expertise in feature engineering, model training, explainable AI, and model evaluation using XGBoost, LightGBM, and SHAP to support business and regulatory requirements.

Experienced in productionizing AI systems with FastAPI, REST APIs, Docker, Kubernetes (AKS), and MLOps practices including MLflow, CI/CD, monitoring, and drift detection. Strong collaborator with cross-functional teams to deliver scalable, secure, and high-impact AI-driven solutions.