About Me

Aashrit Surapaneni

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.

Skills & Technologies

Python & ML

PyTorch, TensorFlow, scikit-learn, XGBoost

GenAI & LLMs

OpenAI API, LangChain, RAG, Function Calling

Cloud & MLOps

Azure, AWS, Docker, Kubernetes, SageMaker

API Development

FastAPI, REST APIs, Airflow, MLflow

Data Engineering

SQL, FAISS, Neo4j, Vector DBs

Visualization

Tableau, Power BI, Matplotlib, SHAP

Education

Wichita State University

Master's degree, Business Analytics

SRM University, AP

Bachelor of Technology - BTech, Computer Science

Certifications

AWS Certified Data Engineer - Associate

Amazon Web Services (AWS)

Issued Jul 2025

Microsoft Certified: Azure AI Fundamentals

Microsoft

Issued May 2025

Microsoft Azure AI Essentials Professional Certificate

Microsoft and LinkedIn

Issued Jun 2025

Academy Accreditation - Generative AI Fundamentals

Databricks

Issued Jul 2025

Generative AI and LLMOps: Building Blocks and Applications

LinkedIn

Issued Jun 2025

AWS Certified Data Engineer Associate (DEA-C01) Cert Prep

LinkedIn

Issued Jul 2025