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Hi, I'm Abhinav Yellapragada, a data-driven AI engineer focused on building scalable, intelligent systems that solve real problems in finance, healthcare, and technology. I enjoy turning messy data into actionable models, from credit risk prediction at Moody's to GenAI-powered automation tools that speed up analysts' workflows. Beyond modeling, I mentor students, contribute to optimization and deployment pipelines, and explore cutting-edge generative AI with LangChain, LlamaIndex, and RAG workflows. I'm passionate about collaboration, clean code, and delivering impact through end-to-end ML solutions.…Hi, I'm Abhinav Yellapragada, a data-driven AI engineer focused on building scalable, intelligent systems that solve real problems in finance, healthcare, and technology. I enjoy turning messy data into actionable models, from credit risk prediction at Moody's to GenAI-powered automation tools that speed up analysts' workflows. Beyond modeling, I mentor students, contribute to optimization and deployment pipelines, and explore cutting-edge generative AI with LangChain, LlamaIndex, and RAG workflows. I'm passionate about collaboration, clean code, and delivering impact through end-to-end ML solutions.

Abhinav Yellapragada

AI Engineer, Full Stack Developer, Data Scientist

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Hi, I'm Abhinav Yellapragada, a data-driven AI engineer focused on building scalable, intelligent systems that solve real problems in finance, healthcare, and technology. I enjoy turning messy data into actionable models, from credit risk prediction at Moody's to GenAI-powered automation tools that speed up analysts' workflows. Beyond modeling, I mentor students, contribute to optimization and deployment pipelines, and explore cutting-edge generative AI with LangChain, LlamaIndex, and RAG workflows. I'm passionate about collaboration, clean code, and delivering impact through end-to-end ML solutions.…Hi, I'm Abhinav Yellapragada, a data-driven AI engineer focused on building scalable, intelligent systems that solve real problems in finance, healthcare, and technology. I enjoy turning messy data into actionable models, from credit risk prediction at Moody's to GenAI-powered automation tools that speed up analysts' workflows. Beyond modeling, I mentor students, contribute to optimization and deployment pipelines, and explore cutting-edge generative AI with LangChain, LlamaIndex, and RAG workflows. I'm passionate about collaboration, clean code, and delivering impact through end-to-end ML solutions.

Available to hire

Hi, I’m Abhinav Yellapragada, a data-driven AI engineer focused on building scalable, intelligent systems that solve real problems in finance, healthcare, and technology. I enjoy turning messy data into actionable models, from credit risk prediction at Moody’s to GenAI-powered automation tools that speed up analysts’ workflows.

Beyond modeling, I mentor students, contribute to optimization and deployment pipelines, and explore cutting-edge generative AI with LangChain, LlamaIndex, and RAG workflows. I’m passionate about collaboration, clean code, and delivering impact through end-to-end ML solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Intern at Moody's

June 1, 2025 - November 18, 2025

Building and evaluating machine learning models for credit risk prediction, anomaly detection, and financial forecasting using PyTorch and XGBoost; improving model interpretability and performance. Developed NLP pipelines using Hugging Face Transformers, LangChain, and LlamaIndex to extract insights from financial documents and reports, automating analyst tasks. Prototyped GenAI-based automation tools (document summarizers, Q&A systems, workflow agents) using Llama 3 / Falcon, accelerating repetitive search tasks.

Graduate Assistant at University of Central Oklahoma

May 1, 2025 - May 1, 2025

Assisted in delivering coursework and lab sessions for Full Stack Development classes, mentoring over 40 students in building interactive web applications using React, Django, and Firebase.

Machine Learning Engineer at Strand Life Sciences

December 31, 2023 - December 31, 2023

Developed and optimized machine learning models for genomic and clinical data using Scikit-Learn and TensorFlow, improving variant classification and disease-risk scoring by 25%. Deployed production ML microservices using Kubernetes, FastAPI, and Docker, ensuring scalable integration with internal systems. Also created robust model evaluation frameworks, using cross-validation, MLflow and drift detection to maintain reliability in clinical settings.

Artificial Intelligence Intern at Intellogi Technologies, India

December 31, 2022 - December 31, 2022

Performed data cleaning and feature preprocessing on large structured datasets, including handling missing values, outlier detection, and data normalization to improve model performance. Collaborated with a team of 4 to design a real-time anomaly detection system for e-commerce clickstream data using unsupervised learning (Isolation Forest), reducing fraud checks by 40%.

Teaching Assistant at VIT-AP University, India

May 1, 2022 - May 1, 2022

Assisted in instructing undergraduate courses on Machine Learning and Deep Learning, covering topics such as supervised/unsupervised learning, neural networks and model training.