Jeevanesh.s

AI/ML engineer with hands-on experience building machine learning and Generative AI applications, including LLM-based Retrieval-Augmented Generation (RAG) systems. Skilled in Python, PyTorch and Hugging Face Transformers, with practical project experience across LangChain, LangGraph, vector retrieval, and evaluation-driven development. Comfortable working across the full pipeline — from data preprocessing and model development to building and exposing AI applications through FastAPI, Docker and MLflow.

AI/ML Intern - Edunet Foundation | AICTE | IBM SkillsBuild - Remote

(2025-12 - 2026-01)

Completed a 6-week applied AI/ML internship, building Python-based workflows across the ML lifecycle from data ingestion to model evaluation.

• Performed data preprocessing and feature engineering on structured datasets to prepare inputs for model development.
• Developed and evaluated machine learning models, applying industry-standard experimentation and validation practices to assess performance.

B.Tech - Artificial Intelligence and Machine Learning - Saveetha Engineering College (2026-05)