Nitesh Kumar Shah

About

M.Sc. Artificial Intelligence graduate with hands-on experience building and deploying machine learning systems, including LLM-based applications and production-grade deep learning pipelines. Comfortable owning ML solutions from data preparation through training, evaluation, and deployment, with a strong GitHub portfolio of reproducible projects.

Experience

• AI Engineer – Master Thesis Project
  Pattern Recognition Lab, FAU Erlangen-Nürnberg
  Aug 2025 – Mar 2026

Education

• M.Sc.
  FAU Erlangen-Nürnberg
  Artificial Intelligence · Oct 2021 – Apr 2026
• B.E.
  Visvesvaraya Technological University
  Information Science and Engineering · Aug 2016 – Aug 2020

Skills

• FastAPI
• Git
• Python
• REST API
• Model Evaluation
• scikit-learn
• PyTorch
• TensorFlow
• Docker
• Azure
• Retrieval-Augmented Generation
• Pytest
• Transformers
• LangGraph
• GitHub Actions
• Embedding Models
• Cnns
• Transfer Learning
• Ollama
• Llama 3.2
• Qdrant
• Ragas
• Dvc
• Docker Compose

Projects

• Document Layout Detection API ↗
  Python, FastAPI, PyTorch, Detectron2, Docker, Pytest

  Production-ready inference API with model loading fallback mechanisms, health monitoring, and async inference for reliable deployment.

• Chicken Disease Classification – End-to-End MLOps Pipeline ↗
  Python, TensorFlow, DVC, Docker, GitHub Actions, Azure

  Built and deployed a complete ML pipeline with DVC experiment versioning, automated CI/CD, and a monitored production REST API on Microsoft Azure.

• Industrial Document Intelligence Platform – Production-Grade LLM/RAG System ↗
  Python, FastAPI, LangGraph, Qdrant, Ollama, RAGAS, Docker

  End-to-end LLM application with LangGraph agent workflows, open-source LLMs, Qdrant semantic search, and a RAGAS-based evaluation pipeline.

Courses & certifications

• Python for Data Science and Machine Learning · Udemy

🗣️ Languages

• English · Fluent
• German · Basic