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Kushagra Yadav

@kushagrayadav1

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I build machine learning, GenAI, and analytics solutions from data pipelines to deployed applications.

India

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What I'm looking for

I'm seeking a Data Science or Data Analyst internship where I can apply machine learning, analytics, and GenAI skills to deliver measurable impact through data-driven solutions.

I build end-to-end machine learning systems, data pipelines, and business intelligence dashboards as a B.Tech Computer Science (AI) student. Through IBM's Generative AI Engineering program, I've implemented LLM, Retrieval-Augmented Generation, and LangChain workflows for document-grounded Q&A.

At Grras Solutions, I designed and implemented machine learning models with Amazon SageMaker, managing data processing through endpoint deployment using AWS S3 and EC2.

I've also built HealthAI_v2, combining Google Gemini 2.5 Flash and Random Forest for symptom-based multi-disease prediction, and a real-time driver drowsiness detection system using OpenCV facial landmarks at 25+ FPS. I'm seeking a Data Science or Data Analyst internship where I can deliver measurable impact through data-driven solutions.

Experience

Work history, roles, and key accomplishments

AWS Machine Learning Engineer Intern

Grras Solutions (P) Ltd

May 2026 - Jul 2026 (2 months)

Designed and implemented ML models using Amazon SageMaker, managing the full pipeline from data processing to endpoint deployment. Built data pipelines and storage on AWS S3 and EC2.

AWS Sagemaker S3 EC2 Machine Learning Data Pipelines

Generative AI Engineering Intern

IBM

Aug 2025 - Present (1 year 3 months)

Designed and implemented a RAG pipeline using LangChain and a vector database for document-grounded Q&A. Applied advanced prompt engineering to improve LLM output quality across multiple NLP tasks.

Lang Chain RAG Prompt Engineering NLP Embeddings Vector Databases LLM