KEMAL DEMİROZMAN

Mechanical Design Engineer — Product & Platform Architecture, Design Automation, Technical Leadership
İSTANBUL, TR  ·  HERGELE MOBILITY  ·  YTÜ '21  ·  kemal.demirozman@gmail.com  ·  +90 541 338 31 56
DOC NO: KD-CV  ·  REV: 08.26  ·  SHEET 1/1  ·  SCALE 1:1
Kemal Demirozman

Professional Summary

Mechanical engineer specializing in 0→1 development of industrial electric vehicles, trailers and electromechanical platforms, with a growing focus on design automation and configurable product architecture. Experienced across the full product lifecycle: concept development, rapid prototyping, customer demonstrations, production preparation and iterative improvement. Led vehicle platform development from concept to serial production, reducing assembly time by 50% through modular architecture redesign. Currently architecting a configuration-driven modular vehicle family and its automated design-to-manufacturing pipeline (config → parametric CAD → validated production package), and built an AI-native business management platform now used in production. Combines deep mechanical execution — GD&T, tolerance stack analysis, structural FEA, drivetrain integration — with AI-assisted software automation and cross-functional engineering leadership.

Core Engineering Competencies

  • Vehicle Development & System Architecture
  • Modular Platform & Configuration-Driven Design
  • GD&T and Tolerance Stack Analysis
  • Structural FEA and Mechanical Validation
  • CAD Automation with Python (Fusion 360 API)
  • Rule-Based Design Gates (Stability, Safety, Ergonomics)
  • Motor & ESC Selection, Drivetrain Integration
  • Rapid Prototyping and Industrialization
  • Design Verification and Testing
  • AI-Assisted Software Development (AI Coding Agents)
  • Engineering Knowledge Systems & Decision Records
  • Supplier Coordination (Türkiye / China / United States)

Working Method — AI-Assisted Engineering

I am not a traditional software developer — I build production software by directing AI coding agents (Claude), while doing the mechanical engineering myself. What makes this reliable is process, not typing: every project keeps a docs-as-code engineering record — numbered design decisions with rationale and rejected alternatives, a single-source parameter registry (no value lives in two places), and automated audit gates that block inconsistent outputs instead of merely warning. The Wagger design-to-manufacturing pipeline (40+ Python scripts, 5 automated gates, 111 recorded decisions, 275 parameters) and the Tıkır platform were both built this way.

Selected Projects

Wagger — Configurable Modular Industrial Vehicle Family 2026 – Present
System Architect & Lead Engineer, Hergele Mobility — concept & design phase · case study →
  • Architecting a highly modular, configurable industrial vehicle family that unifies order-picker and tugger product lines on a single parametric chassis platform, turning low-volume custom orders from engineering projects into configurations.
  • Designed a fixture-less chassis manufacturing concept — laser-cut tab-and-slot and tube-cope joints that self-locate on the bench — eliminating fixture investment and making single-unit orders economical.
  • Designed self-contained, field-replaceable drive modules (motor, ESC, swappable battery, EM brake in one unit) so field service becomes a module swap instead of on-site diagnostics.
  • Built an automated design-to-manufacturing pipeline: configuration JSON → serial number → parametric Fusion 360 model → complete production package (DXF flat patterns, bend and weld drawings, weld plans, mass & CoG reports), generated end-to-end by 40+ Python scripts and validated by automated integrity checks.
  • Implemented a rule engine that applies engineering gates automatically at configuration time: load class limits, tipping/center-of-gravity checks, operator ergonomics and occupational safety rules.
  • Established a single-source engineering record — 275-parameter registry, 111 traceable design decisions with rationale and rejected alternatives, automated consistency audits — so no value ever lives in two places.
  • Hardened the pipeline with blocking quality gates — package completeness audits, part-type checks and rule-block execution guards — so an inconsistent production package can never reach the workshop.
  • Built one-command market localization: the same order re-emits as a US-manufacturable package — material thicknesses and section sizes re-resolved to imperial stock, every dimension and unit converted, and document language switched automatically.
  • Defined and batch-automated a 26-test chassis verification matrix; first customer-order vehicle adopted as the platform's MVP.
Tıkır — AI-Native Business Management Platform 2026 – Present
Creator — built solo by directing AI coding agents; live in production; Hergele Mobility is the first customer · case study →
  • Designed and built single-handedly from scratch — directing AI coding agents end to end — an AI-native multi-tenant business management platform (CRM/contacts, finance, tasks, dashboards) now used in production by two organizations.
  • Embedded an AI assistant (Claude) that answers questions and performs actions on live company data through natural language — e.g. querying receivables and drafting follow-ups in a single sentence.
  • Implemented secure multi-tenancy with row-level security, authentication and additive schema migrations; deployed with continuous delivery.
  • Stack: Next.js 15, TypeScript, Supabase (PostgreSQL, Auth, RLS), Anthropic API, Vercel.

Professional Experience

Hergele Mobility — Production Engineer Nov 2023 – Present
  • Led development of industrial electric vehicle platforms, trailers and mechanical accessories from concept to serial production.
  • Delivered vehicles include the WAMO 70 mezzanine navigator, WAMO tugger and stock-chaser variants, the LCW order-picker custom build, and the DMT3500 heavy tugger (3,500 kg towing capacity, independent suspension on all three wheels); cage trailers designed here are in active daily use in Migros warehouses.
  • Designed chassis architecture, modular assemblies and structural subsystems for electric vehicle platforms.
  • Prepared GD&T technical drawings and performed tolerance stack analysis using Fusion 360.
  • Performed structural FEA simulations and mechanical validation for load-bearing components.
  • Selected motor, ESC and drivetrain components based on system-level requirements; designed wiring harness routing and mechanical integration.
  • Executed tipping and stability tests to validate vehicle safety and operational limits; designed mechanical test jigs and performed design verification testing.
  • Established rapid prototyping workflows using additive manufacturing and CNC fabrication.
  • Built AI-assisted internal engineering software: automatic wiring-harness drawing and assembly-diagram generation, tube bending simulation, tube cutting optimization, and swept-path simulation & optimization for vehicles and trailer trains.
  • Coordinated international suppliers and manufacturing partners across Türkiye, China and the United States.
  • Structured production checklists, assembly procedures and quality workflows.
  • Participated in customer visits and demonstrations; translated field feedback and sales requirements into design improvements and custom adaptations; supported post-sales troubleshooting and product improvement initiatives.
Hummingdrone Havacılık — Product Design Engineer Apr 2022 – Nov 2023
  • Designed UAV mechanical structures, docking systems and vibration-isolated payload mechanisms.
  • Executed concept, preliminary and detailed mechanical design in a 3D CAD environment.
  • Performed structural FEA analysis and mechanical optimization.
  • Prepared detailed technical documentation including GD&T drawings.
  • Collaborated with electronics and software teams for system-level integration.
  • Projects included a protective-cage drone for hazardous and confined areas, a sub-1 kg prototype, and an autonomous landing, takeoff and charging platform.

Internships

  • TOFAŞ — Management Trainee, Commercial Systems Project Management (2017)
  • Borusan Mannesmann — Production Department Intern (2016)
  • TOFAŞ Türk Otomobil Fabrikası A.Ş. — Body Workshop Production Intern (2015)

Leadership & Process Development

  • Established a docs-as-code engineering record system: decision registry with rationale, single-source parameter registry and automated audit gates guarding design consistency.
  • Built and deployed an AI-native CRM/business platform supporting engineering and sales collaboration.
  • Structured standardized assembly workflows and quality procedures for scalable manufacturing.
  • Coordinated engineering, production and supplier teams during development cycles.
  • Improved product maintainability and serviceability through modular system architecture.

Engineering Tools

CAD: Fusion 360, SolidWorks, AutoCAD

Simulation: Fusion 360 Simulation (FEA)

Manufacturing: CNC Machining, Sheet Metal Fabrication, Laser Cutting, Additive Manufacturing (FDM, SLA, SLS, MJF, SLM)

AI-Assisted Development: Production automation and apps built by directing AI coding agents (Claude) — Python/Fusion 360 API pipelines, Next.js + Supabase platforms — with Git and docs-as-code engineering records

Electronics & Prototyping: Arduino

Other: LaTeX, MS Office

Languages

Turkish (Native)  |  English (C1 – Advanced)  |  German (B1 – Intermediate)

Education

Yıldız Technical University — B.Sc. Mechanical Engineering (2012 – 2021)

Anadolu University — Sociology (2021 – Present)

İstanbul Erkek High School (2007 – 2012)

Interests

Cycling | Hiking | 3D Printing | Arduino Projects | AI-Assisted Engineering | Vibe Coding