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Generative AI Engineer @ appliedAI | Agentic Systems & RAG Pipelines

Building Production-Ready AI Systems

Generative AI Engineer at appliedAI. I design and build production-ready AI agents, agentic RAG pipelines, and multi-agent workflows that move from prototype to reliable production systems.

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Munich, Germany

Agentic RAGMulti-Agent SystemsFastAPI Deployment

About

AI systems engineering with product judgment.

I build production-ready AI agents, Agentic RAG systems, and multi-agent workflows that solve real business problems at scale.

I design, develop, and deploy intelligent applications powered by Large Language Models — integrating enterprise data, APIs, and workflow automation into reliable, impactful solutions. My work spans LLM fine-tuning, agent orchestration, and RAG architectures, with end-to-end deployment using LangChain, LangGraph, LlamaIndex, CrewAI, OpenAI Agents, FastAPI, Docker, AWS, and Azure.

Agentic RAG

Multi-Agent Systems

LLM Applications

AI Product Development

FastAPI Deployment

Vector Databases

Production AI Systems

What I do

AI Agents & Workflows

Design and build autonomous and multi-agent systems that plan, use tools, and automate complex workflows.

Agentic RAG Systems

Grounded retrieval pipelines over enterprise documents with evaluation, citations, and reliable answers.

Production Deployment

Ship LLM applications end-to-end with FastAPI, Docker, and cloud infrastructure on AWS and Azure.

Experience

Building production AI across research and industry.

From agentic systems and RAG pipelines at appliedAI to applied AI research in industrial automation.

Generative AI Engineer

Current

appliedAI Initiative GmbH

Nov 2025 – PresentMunich, Germany

Designing and building production-grade agentic systems and RAG pipelines. Developing AI agents and multi-agent workflows that integrate enterprise data and APIs into reliable, deployable LLM solutions.

LLMs

OpenAI

Agentic AI

Multi-Agent Systems

ReAct Agent

MCP

OpenAI Agents SDK

LangChain

LangGraph

RAG

Prompt Engineering

LLM Fine-tuning

LLM Evaluation

Guardrails

Vector Databases

Langfuse

Python

FastAPI

REST APIs

Docker

CI/CD

AWS

Azure

Artificial Intelligence Researcher

SOMIC Packaging

Mar 2025 – Oct 2025Amerang, Bavaria, Germany

Designed and built an Agentic RAG assistant for technical support of industrial packaging systems. A ReAct agent orchestrates the full retrieval pipeline — document identification, Ollama embeddings, Milvus vector search, and LangChain-grounded answer generation — delivering precise, source-cited responses through a real-time Streamlit interface with feedback and chat-history logging.

LLMs

OpenAI

LangChain

LangGraph

ReAct Agent

Langfuse

Milvus

Ollama

Streamlit

RAG

Vector Search

Industrial AI

Intern

ISRO – Indian Space Research Organization

Aug 2020 – May 2021Ahmedabad, Gujarat, India

Supported applied technical work in data analysis and engineering at India's national space agency. An early, hands-on foundation for a career in AI and software engineering.

Python

Data Analysis

Research

Engineering

Education

Grounded in Artificial Intelligence.

A master's degree focused on modern AI, machine learning, and applied systems.

M.S. · Artificial Intelligence

Technische Hochschule Deggendorf

Mar 2023 – Oct 2025Deggendorf, Germany

Featured Projects

Projects that ship to production.

A selection of my work across AI agents, RAG systems, LLM applications, and data science.

Chatbot conversation interface answering technical support questions with cited documentation

RAG

Industrial RAG

Agentic RAG for Industrial Technical Support

Production-oriented technical support system that combines LangGraph orchestration, Milvus retrieval, local LLM inference, document grounding, and feedback capture for industrial machine documentation.

LangGraph

Milvus

Ollama

Streamlit

PDF Knowledge Base

Feedback System

Repository Live Demo

Agents

Agent Platform

Multi-Agent Event Planning Platform

CrewAI-powered planning workflow where specialized agents coordinate venue research, logistics, marketing, task planning, and stakeholder-ready event briefs.

CrewAI

OpenAI

Multi-Agent Collaboration

Venue Selection

Logistics Planning

Marketing Automation

Repository Live Demo

Database and analytics dashboard representing natural language SQL querying

LLM Apps

SQL Agent

AI SQL Agent

Natural language analytics agent that translates business questions into SQL, executes against relational databases, and returns concise explainable insights.

LangChain

OpenAI

SQL Databases

Natural Language Querying

Repository Live Demo

Data Science

Recommendations

Movie Recommendation System

Hybrid recommendation engine combining collaborative filtering, content-based retrieval, and TMDb metadata to produce personalized movie suggestions.

Hybrid Recommendation

Collaborative Filtering

Content-Based Filtering

TMDb Dataset

Repository Live Demo

Skills

AI technology stack for production delivery.

A practical stack covering agent orchestration, retrieval, APIs, deployment, vector infrastructure, cloud platforms, and data science.

AI Agents

Expert

LangGraph

CrewAI

PydanticAI

AutoGen

SmolAgents

OpenAI Agents

MCP

RAG & LLM Frameworks

Expert

LangChain

LlamaIndex

Haystack

RAG Evaluation

Prompt Engineering

LLM Fine-tuning

LLM Ops & Observability

Advanced

LangSmith

Langfuse

Evaluation Pipelines

Guardrails

Tracing

Programming

Advanced

Python

TypeScript

SQL

JavaScript

Bash

Data Structures

Backend & Serving

Advanced

FastAPI

Flask

REST APIs

Streamlit

Gradio

Pydantic

PostgreSQL

Frontend

Familiar

React

Next.js

Tailwind CSS

Vector Databases

Advanced

Milvus

FAISS

Pinecone

Weaviate

Qdrant

Chroma

Cloud & DevOps

Advanced

Docker

AWS

Azure

CI/CD

Linux

Kubernetes

Data Science & CV

Advanced

Machine Learning

Recommendation Systems

scikit-learn

Pandas

NumPy

OpenCV

Matplotlib

Seaborn

Hugging Face

Tools & Collaboration

Advanced

Git

GitHub

Jira

Notion

MS Office

Certifications

Focused learning across machine learning and applied AI.

Credentialed foundations that support practical engineering work in RAG, agents, Python, and ML systems.

Microsoft Certified: Azure AI Engineer Associate

Retrieval Augmented Generation (RAG)

Machine Learning Specialization

SQL Beginner to Advanced for Data Professionals

Programming for Everybody (Getting Started with Python)

Languages

Working across two languages.

Comfortable collaborating with international and German-speaking teams.

English

Native / Bilingual

German

Professional Working

Contact

Available for AI engineering, consulting, and product-focused LLM work.

Reach out for roles or projects involving AI agents, RAG systems, LLM applications, vector databases, and production deployment. CV available on request after connecting.

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