Open to opportunities

Sanjeev Kumar

@sanjeevkumar7

Message

Data Science fresher building RAG, NLP, and Generative AI systems with Python, SQL, and scalable ML.

India

Message

What I'm looking for

I’m looking for an entry-level Data Scientist/ML role where I can build RAG and LLM-powered products, work end-to-end on data analysis and model evaluation, and grow through strong mentorship and measurable impact.

I’m a Data Science fresher with practical experience in Machine Learning, NLP, and Generative AI, including RAG and LLM fine-tuning. I’ve built and deployed systems using LangChain, OpenAI APIs, and Hugging Face to turn real datasets into useful insights.

In my internship work, I implemented vector search with ChromaDB and BM25 to improve retrieval accuracy, engineered NLP pipelines with Transformers, and optimized ML models using Python, TensorFlow, and Scikit-learn. I enjoy clean data analysis, strong feature engineering, and measurable evaluation—improving accuracy by 15% and reducing processing time by 25% on projects.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Intern

Current

Irohub Infotech Pvt Ltd

Mar 2026 - Present (3 months)

Developed and deployed a Retrieval-Augmented Generation (RAG) system using LangChain and OpenAI APIs, including ChromaDB/BM25-based retrieval. Built NLP pipelines with Hugging Face Transformers and developed ML models in Python using TensorFlow and scikit-learn.

RAG Lang Chain OpenAI API ChromaDB BM25 TensorFlow scikit learn Prompt Engineering

Data Science Intern

Skill Academy

Performed data analysis and preprocessing in Python using Pandas and NumPy, including EDA and visualizations with Matplotlib and Seaborn. Developed basic machine learning models using scikit-learn.