Apurv More

CEO

Dresden, Germany10 mos experience

AI Enabled

Key Highlights

Expert in AI-driven quality management systems.
Proven track record in reducing defect rates.
Strong background in semiconductor manufacturing processes.

Stackforce AI infers this person is a Quality Engineer with a focus on AI-driven manufacturing solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Quality ManagementSupplier QualitySix Sigma

Other Skills

Root Cause Analysis8D Problem SolvingFailure Mode and Effects Analysis (FMEA)Quality Assurance TestingCorrective and Preventive Action (CAPA)Advanced Product Quality Planning (APQP)Process Failure Mode Effects Analysis (PFMEA)ISO 9001AutomationFailure ModeEffects Analysis (FMEA)IATF 16949

About

Bridging Quality Engineering & Artificial Intelligence | Smarter QMS, Faster Decisions, Zero-Defect Vision

Experience

10 mos

Total Experience

5 mos

Average Tenure

5 mos

Current Experience

Self employed

AI Quality Architect & Engineer (Freelance)

Dec 2025 – Present · 5 mos · Dresden · Hybrid

Quality is no longer just about catching defects — it's about predicting them before they happen.
Most quality systems are built to document what went wrong. I build systems that see it coming — combining deep engineering roots in various sectors with AI-driven workflows that turn quality from a cost center into a competitive advantage.
I don't just implement quality systems. I reimagine them — so that manufacturing teams can move faster, decide smarter, and stay ahead of failures before they escalate.
What I do:
AI-Driven QMS Automation — Intelligent CAPA, NCR, and FMEA workflows that cut through administrative noise and surface root causes faster
Supplier & Process Quality — PPAP/PPQ, capability assessments, and supplier audits enhanced with predictive risk insights
Proactive Compliance & CI — Six Sigma, 8D, and PFMEA methodologies reimagined with AI analytics that get ahead of failures before they escalate
The outcome: Quality teams that spend less time reporting on the past and more time shaping the future — with faster decisions, leaner processes, and audit-ready documentation built in by design.
If you're working on AI-enabled quality transformation, predictive analytics, or QMS digitalization — let's talk.

Artificial Intelligence (AI)Supplier QualityRoot Cause Analysis8D Problem SolvingFailure Mode and Effects Analysis (FMEA)Quality Assurance Testing+7

Career break

Professional development

Oct 2024 – Nov 2025 · 1 yr 1 mo · Dresden, Saxony, Germany

Took a purposeful career break to realign long-term career goals, invest in continuous learning, and strengthen my professional foundation.
1) Built a structured understanding of semiconductor manufacturing processes, including photolithography, wet etching, deposition, and process flow fundamentals
2) Strengthened knowledge of process control in high-precision manufacturing, applying SPC, control charts, and data-driven decision making to semiconductor use cases
3) Applied quality engineering methodologies (FMEA, PFMEA, Control Plans, CAPA, 8D, RCA) to semiconductor-related case studies and manufacturing scenarios
4) Studied defect mechanisms, yield loss concepts, and process deviations relevant to fab environments
5) Developed self-initiated case studies focused on process reliability, equipment commissioning, and inspection effectiveness
6) Deepened understanding of equipment qualification, preventive maintenance, and process stabilization in automated production environments
7) Enhanced skills in cross-functional communication, documentation, and structured problem-solving aligned with ISO-compliant manufacturing systems
8) Completed and reinforced Six Sigma Black Belt principles with a focus on semiconductor and high-volume manufacturing applications
9) Actively followed semiconductor industry trends, fab operations, and manufacturing best practices through technical resources and professional content
10) Refined CV and application strategy to align with Process Engineering, Manufacturing Quality, and Supplier Quality roles in the semiconductor industry

Fraunhofer ikts

2 roles

Master Thesis ( Quality )

Apr 2024 – Sep 2024 · 5 mos · Dresden, Saxony, Germany

Researched and resolved manufacturing issues through QC and QA standards, enhancing inspection dependability.
Implemented quality control strategies on the production line, reducing defect rates.
Examined corrective measures and implemented long-term solutions to enhance overall product quality.

Six SigmaISO 9001Quality Management

Research Intern

Nov 2023 – Apr 2024 · 5 mos · Dresden, Saxony, Germany

Conducted quantitative research to optimize processes and quality management methods enhancing production quality.
Spearheaded initiatives for defect mitigation in quality control, reducing faulty products.
Implemented quality control measures based on quality principles to ensure compliance with industry standards.

Failure ModeEffects Analysis (FMEA)Quality Management

Vinati organics limited

Trainee

Jan 2021 – Feb 2021 · 1 mo · India · Remote

During my time as a trainee, I executed equipment calibration and managed asset tracking to help reduce downtime. I collaborated with engineering teams to assess the process capability of critical components and supported continuous improvement initiatives aimed at enhancing plant efficiency and quality control procedures.