DR.ENG
FORD_ENGINEER • SOLUTIONS_ARCHITECT

Architecting
Systems at Scale

Hi! I'm Daniil Rapoport, an engineer at Ford Motor Company specializing in robust industrial-scale systems, AI-integrated architectures, and cloud infrastructure optimization. I transform complex technical challenges into elegant, scalable solutions.

8+

Years Experience

50+

Projects Delivered

99.9%

Uptime Record

AI_KNOWLEDGE_BASE

System online. Ready to discuss industrial systems, AI integration, cloud architecture, and your next big project.

What's your expertise?

Core Areas: Cloud Infrastructure • System Design • AI/ML Integration • Microservices • DevOps • Ford Automotive Systems

Technical Profile

Deep expertise in enterprise-scale systems design and modern cloud architectures

Core Expertise

With 8+ years at the intersection of automotive engineering and software architecture, I specialize in designing systems that scale. My work at Ford has exposed me to the unique challenges of legacy system modernization alongside cutting-edge cloud infrastructure.

Technical Stack

Cloud Architecture Kubernetes Microservices Python/Go AI/ML Ops DevOps Database Design System Design

Industrial Systems

Manufacturing automation, legacy modernization, real-time diagnostics

AI Integration

RAG systems, model deployment, MLOps pipelines, knowledge bases

STATS.LIVE ● ACTIVE
System Reliability 99.9%
Code Quality A+
Performance Optimized

"Excellence through continuous optimization"

Get In Touch

What I Offer

Comprehensive technical solutions for enterprise challenges

Cloud Architecture

Design and implement scalable, resilient cloud solutions. Kubernetes orchestration, microservices, multi-cloud strategies.

AI/ML Systems

Build production-grade AI systems. RAG pipelines, model deployment, knowledge management, MLOps infrastructure.

System Design

Enterprise architecture consulting. Performance optimization, legacy modernization, technical strategy.

Featured Projects

Recent work showcasing technical expertise and impact

Kubernetes Microservices

Microservices Platform

Redesigned legacy monolith into scalable microservices architecture, reducing deployment time by 70% and improving system reliability to 99.99%.

View Case Study
AI/ML RAG

AI Knowledge System

Built retrieval-augmented generation system integrating corporate knowledge base with LLM, enabling intelligent query resolution across enterprise data.

View Case Study

Let's Build Something Extraordinary

Whether you're looking to architect cloud infrastructure, integrate AI systems, or modernize legacy applications, I'm ready to help transform your technical vision into reality.

Email

daniil@ford.engineering

Location

Detroit, MI / Global Remote

Response Time

Within 24 Hours