Deepesh Yadav portrait

Deepesh Yadav

Systems & AI Engineer

MBSE • SysML • Generative AI • Automotive

Paderborn, Germany Open to relocation (Germany/EU) Available immediately

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Overview

Designing intelligent systems with MBSE + Generative AI.

Hands-on experience in SysML, Automotive SPICE, and LLM-powered engineering tools through research various industry based projects .

AI Engineering Proof of Concept Creation Frontend development

Core Focus

AI Tools • MBSE • SysML

Bridging systems engineering and AI to accelerate requirements, architecture modeling, and compliance workflows.

RFLP V-Model V&V Activities

Tech Stack

React • Python • JavaScript • TypeScript

Built AI-augmented assessment tools, internal Q&A systems, and architecture automation plugins for engineering teams.

RAG OpenAI LangChain Gemini

Impact

40% Faster Compliance Reviews, Happy Stakeholders

Delivered measurable improvements through structured reporting pipelines and LLM-driven analysis of engineering artifacts.

ASPICE ISO 26262 ISO 21434

Skill Matrix

Systems engineering depth with AI experimentation at scale.

Systems Engineering & MBSE

MBSE SysML v1/v2 RFLP Requirements Architecture Automotive SPICE

AI & Machine Learning

OpenAI Gemini Claude RAG LangChain Hugging Face Prompt Engineering

Tools & Platforms

Enterprise Architect Cameo Codebeamer Jira n8n Google AI Studio

Programming

Java Python JavaScript TypeScript React Tailwind CSS Material UI

Standards

ISO 15288 ISO 26262 ISO 21434 Functional Safety Cybersecurity

Languages

English (C1) German (B1), Actively Improving

Experience

Fraunhofer IEM · Student Research Assistant (Aug 2023 – Present)

SysML-Based System Architecture

Government-funded research

Impact

  • Maintained traceability for 500+ requirements across system levels.
  • Optimized decomposition workflows for cross-team collaboration.

How

  • SysML architecture modeling in Cameo Systems Modeler.
  • Structured hierarchy to align stakeholders and artifacts.
MBSE SysML Cameo

AI-Augmented ASPICE Assessment Tool

LLM compliance automation

Impact

  • Reduced manual compliance review time by 40%.
  • Delivered 100% consistent stakeholder evaluations.

How

  • Structured reporting pipeline for risks and traceability.
  • LLM analysis with React-based interface.
React Gemini OpenAI

Cybersecurity Solution Concept

Autonomous wiring harness

Impact

  • Identified vulnerability points in wiring systems.
  • Mapped safety-critical flows and use cases.

How

  • RFLP architecture and flow modeling.
  • Enterprise Architect for systems decomposition.
RFLP SysML Enterprise Architect

LLM-Based Internal Q&A System

Secure knowledge access

Impact

  • Improved retrieval speed by 60% with sub-2s latency.
  • Ensured GDPR-compliant model hosting.

How

  • React app with natural-language querying.
  • Internally hosted OpenAI models and REST APIs.
React TypeScript REST APIs

Projects

Generative AI prototypes for engineering acceleration.

GenSYS — GenAI for SysML Model Generation

Product Owner

Led development of a natural-language interface for SysML v2 models and conversion of SysML 1.x diagram images into structured v2 models.

Showcased live to 50+ industry & academic participants.

SysML v2 Python Streamlit RAG

GenAI Research Analysis Tool

Academic Knowledge Extraction

Built a multi-model system to extract engineering challenges from 50+ dissertations, reducing literature review time from weeks to hours.

95% extraction precision with cross-referenced citations.

LangChain Gemini Claude OpenAI

Education

Academic foundation in systems, AI, and software engineering.

M.Sc. in Computer Science

University of Paderborn, Germany (Oct 2022 - Present)

Thesis: AI Augmented Alternative Architecture Generation — framework integrating multiple LLMs and a Cameo plugin to reduce architecture exploration time by 35%.

B.Tech. in Information Technology

JSS Academy of Technical Education, India (Aug 2017 - Jul 2021)

Let's Build Together

Open to Systems/MBSE Engineer or AI Engineering roles in Germany.