Hello! I'm Aashrit Surapaneni, a Machine Learning Engineer experienced in designing, building, and deploying AI solutions across healthcare, finance, and enterprise platforms. My work bridges classical ML and modern GenAI systems, with a strong focus on scalable pipelines, MLOps, and production-grade applications.
Currently, I'm focused on building LLM-based applications with Retrieval-Augmented Generation (RAG) and Function Calling, deploying real-time AI APIs using FastAPI, Docker, and Kubernetes, and automating document processing using Azure Form Recognizer and OpenAI GPT-4-turbo.
I'm passionate about extracting insights from structured and unstructured data using hybrid pipelines with OCR, spaCy, and prompt engineering. Always exploring what's next in intelligent systems, agentic workflows, and real-world LLM deployment.
PyTorch, TensorFlow, scikit-learn, XGBoost
OpenAI API, LangChain, RAG, Function Calling
Azure, AWS, Docker, Kubernetes, SageMaker
FastAPI, REST APIs, Airflow, MLflow
SQL, FAISS, Neo4j, Vector DBs
Tableau, Power BI, Matplotlib, SHAP
Master's degree, Business Analytics
Bachelor of Technology - BTech, Computer Science
Amazon Web Services (AWS)
Issued Jul 2025
Microsoft
Issued May 2025
Microsoft and LinkedIn
Issued Jun 2025
Databricks
Issued Jul 2025
Issued Jun 2025
Issued Jul 2025