Open to AI / LLM engineering roles Forchheim, Germany

I build production AI
that actually ships.

I'm Naveen Narasimhappa, an ai software engineer who designs and ships production AI end to end in Python & FastAPI.

> currently building RAG systems

5+
Years building
1st
Schaeffler Challenge
6+
AI systems shipped
M.Sc.
AI & Data-Driven Systems
PythonFastAPILangChainRAGFAISSAI AgentsPyTorchDockerGitLab CI/CDGCP / GKEOpenAITwilioNumPyPandasLCELEmbeddings
PythonFastAPILangChainRAGFAISSAI AgentsPyTorchDockerGitLab CI/CDGCP / GKEOpenAITwilioNumPyPandasLCELEmbeddings

Engineer who ships AI, not demos

AI software engineer who builds production RAG systems, AI agents, and generative-AI applications end to end. I design and ship LLM-powered features in Python and FastAPI — from data ingestion and retrieval to containerized deployment — with a strong focus on reliability and evaluation.

Award-winning hackathon builder (Schaeffler Challenge winner) with an engineering foundation and an M.Sc. in AI & Data-Driven Systems from FAU Erlangen-Nürnberg. I care about systems that actually ship: measurable retrieval quality, guardrails against hallucination, and clean deployment pipelines.

RAG & retrieval

Chunking, embeddings, FAISS, and evaluation for correctness and hallucination.

Ship to production

Docker, GitLab CI/CD, and GCP — from prototype to a running service.

Reliable by design

Guardrails, domain-restricted responses, and multi-turn dialogue that holds up.

Skills & stack

The stack I reach for to take an AI idea from data to a deployed service.

AI & LLM Systems

End-to-end RAG pipelinesAI agents & agentic workflowsPrompt engineeringFAISS / vector searchEvaluation (correctness, hallucination, LCEL)LangChain

Backend & APIs

PythonFastAPIREST API designDebugging & testingGit / GitLab

Cloud & MLOps

DockerGitLab CI/CDGKE / GCPLinuxReproducible deployment

ML & Data

PyTorchNumPyPandasData preprocessingPCARANSAC

Ask my AI twin

Fittingly for someone who builds RAG systems and AI agents — talk to a mini agent trained on my background. Ask anything.

Naveen · AI twin
online
RAG-powered
Hi 👋 I'm Naveen's AI twin. Ask me about his RAG work, AI agents, projects, the Schaeffler win, or whether he's open to work.

Experience

From hospital IT leadership to research AI to shipping LLM products — a path that keeps compounding.

AI Web Developer (Working Student)

03/2026 — Present
Parasia RestaurantForchheim, Germany
  • Build AI-powered web applications and customer-facing tools, integrating LLM-based features into live web services.
  • Design and develop backend APIs in Python and FastAPI for conversational and automation features across the customer experience.
  • Implement RAG and context-aware LLM workflows for menu queries, reservations, and support, owning end-to-end delivery through Dockerized production rollout.
PythonFastAPILLMsRAGReactDocker

AI & Automation Engineer (Intern)

11/2025 — 03/2026
Rooh GastronomyHersbruck, Germany
  • Designed and implemented AI-driven process automation to optimize restaurant operations and customer interaction workflows.
  • Engineered a real-time AI voice assistant using FastAPI and Twilio to autonomously handle customer calls, reservations, and menu queries.
  • Integrated context-aware conversational workflows ensuring reliable multi-turn dialogue and domain-restricted responses.
PythonFastAPILLMsRAGTwilioDocker

Research Associate

09/2024 — 08/2025
Autotron Group / TU MunichGarching, Germany
  • Designed and deployed an AI-powered 3D geometric analysis system (PCA, RANSAC), automating symmetry detection and improving processing speed by ~50%.
  • Architected scalable data-preprocessing and feature-extraction pipelines for large-scale 3D point-cloud datasets, achieving ~2× faster computation.
  • Built and validated research-grade AI prototypes for industrial automation and simulation, translating complex geometric data into engineering insight.
PythonOpen3DNumPyPCARANSACBlender

Data Analyst (Intern)

03/2021 — 05/2022
Titan Eyewear — Titan Company Ltd.Bangalore, India
  • Analyzed endurance and sensor datasets for 200+ SKU variants, identifying failure trends and quality risks.
  • Built Python- and Excel-based statistical models to optimize inventory and production planning, reducing process delays by ~15%.
  • Collaborated with engineering teams on data-driven dashboards, improving reporting efficiency and decision speed.
PythonPandasExcelStatistical Analysis

Chief Administrative Officer (promoted from Crisis Manager)

01/2020 — 08/2021
Jeevan HospitalsBangalore, India
  • Promoted to Chief Administrative Officer for strong leadership and operational performance, managing a team of 30+ staff.
  • Managed hospital IT infrastructure, billing software, and daily IT operations, improving data accuracy and system uptime by ~20%.
  • Negotiated and managed vendor contracts for IT systems and services, optimizing procurement costs and ensuring continuity.
IT OperationsBilling SoftwareVendor Management

Projects

A sample of what I've built — RAG systems, agentic workflows, voice AI, and generative tools.

AI Developer Buddy — DATEV HackBay 2025

Featured

Generative-AI + RAG system (OpenAI + FAISS) that evaluates source code for compliance with corporate guidelines, with PDF chunking, retrieval pipelines, and agent-like evaluation producing real-time scoring, feedback badges, and recommendations.

RAGOpenAIFAISSAgents

SynthWave AI — Generative Music Composer

Featured

End-to-end platform converting natural-language prompts into original multi-instrument music with AI lyrics and voice synthesis. Dual LangChain LCEL pipeline plus a NumPy DSP synthesis engine; deployed via GitLab CI/CD to GKE (GCP).

LangChainLCELGCPCI/CD

AI Voice Assistant for Reservations — Rooh

Featured

Real-time voice assistant (FastAPI + Twilio) that autonomously handles calls, reservations, and menu queries through reliable multi-turn, tool-using dialogue.

FastAPITwilioVoice AI

Multi-Agent InboxAI — Email Automation

Agentic system that reads, classifies, and drafts email responses using coordinated multi-agent workflows and LLM tool use.

Multi-AgentLLM ToolsAutomation

PDF Query — Streamlit App

Retrieval-augmented app that answers natural-language questions over uploaded PDFs using embeddings and semantic search. Deployed on Hugging Face Hub.

RAGStreamlitEmbeddings

Master's Thesis — 6-DoF Measurement Workflow

Semi-automated Blender add-on (SIMPOD framework) using RANSAC for surface-feature extraction and DBSCAN + Ball Pivoting for 3D reconstruction across industrial parts, replacing an error-prone manual workflow.

RANSACDBSCAN3DBlender

Hackathons & awards

WINNER — Hackbay 2024, Schaeffler Challenge

05/2024

1st place at ZOLLHOF Tech Incubator, Nuremberg — built the winning AI solution among competing teams for Schaeffler.

Nuremberg, Germany

Finalist — One Night to Innovate Hackathon

12/2024

École nationale des ponts et chaussées

Paris, France

Participant — Human-Inspired Computer Vision Challenge

02/2025

EELISA

Budapest, Hungary

Participant — Smart City Metaverse Sustainability Challenge

04/2023

EELISA

Erlangen, Germany

Education & certifications

Education

M.Sc. Electromobility — AI & Data-Driven Systems

10/2022 — 03/2026

Friedrich-Alexander-Universität Erlangen-Nürnberg · Grade 2.1

Erlangen, Germany

B.E. Mechanical Engineering

08/2018 — 07/2022

Visvesvaraya Technological University (VTU)

Belagavi, India

Certifications

  • AWS Certified Cloud Practitioner
  • Retrieval-Augmented Generation (DeepLearning.AI)
  • Certified Scrum Master
  • Python for Data Science, AI & Development (Coursera)

Languages

English C1German B1.1

Let's build something intelligent together.

I'm open to AI / LLM engineering roles and collaborations. Whether it's RAG, agents, or a generative-AI product — I'd love to hear about it.

Forchheim, Germany LinkedIn GitHub