Connor Robinson

Summary

Strategic Process Improvement Engineer with 15 years of experience in high-precision manufacturing, microelectronics, and continuous improvement across technical sectors. Proven expert in utilizing Lean Six Sigma, DMAIC, and Root Cause Analysis to optimize assembly yield, eliminate equipment failure modes, and drive process robustness. Successfully delivered £620k in documented savings (2025–2026) through automated inspection systems and data-driven maintenance strategies. Strong familiarity with cleanroom environments (ISO 14644-1), gold wire bond inspection, and cross-functional NPI coordination. Data driven approach using QMS and Power BI to spearhead improvements using trend analysis and cross stakeholder involvement. Expert at bridging the gap between complex technical datasets and physical shop-floor operational excellence to achieve record yields and a 90% reduction in non-conformance defects.

Overview

years of professional experience

Work history

Process & Data Improvement Engineer (Senior CI Focus)

TT Electronics

Bedlington, Northumberland

2023.06 - Current

Automation & Defect Reduction (AOI): Led the specification, commissioning, and transition to Automated Optical Inspection (AOI) systems for gold wire bond lines. Successfully eliminated human error in cosmetic inspections, standardized defect criteria, and mitigated active quality issues, delivering £140k in annual savings.
Interconnect Process Support: Provided flexible, hands-on engineering support to other parts of the business developing practical understanding of microelectronic assembly and ongoing AOI wire bond inspection project.
Reliability Strategy: Leveraged A3 frameworks and trend analysis to recover failing high-value product lines, increasing yields from 30% to 94% and saving £400k in annual projected losses.
Maintenance & Quality Transformation: Developed Power BI dashboards to analyse live MRB data, identifying 'Top 5' failure modes and achieving 67.96% reduction in non-conformance costs (£469k annualized savings).
Process Optimization: Commissioned Automated Overload system that reduced plating cycle times to one-third of legacy processes and eliminated major defect modes.
Operations & Yield Leadership: Currently leading 3 site-wide yield improvement projects focused on the highest defect types; coordinate stakeholder teams and solely support the Vision and Packing Area to achieve record throughput using optimized layouts and modernized Operator Instructions.
Digitalized Audits: Developed digital Layered Process Audits (LPAs) to evaluate both processes and operators, system currently being prepared for national rollout.

Manufacturing Engineer (Systems & Sustainability)

Siemens Energy

Newcastle Upon Tyne

2011.09 - 2023.06

New Product Introduction (NPI): Provided engineering coordination for R&D-led product launches, ensuring seamless integration between design engineering, technical specifications, and operational shop-floor execution.
Risk Mitigation: Analysed high-volume manufacturing data to identify operational inefficiencies and implemented FMEA (Failure Mode and Effects Analysis) to proactively mitigate business risks.
Technical Compliance: Supported modernizing site operations through technical audits and documentation updates to meet Critical BS certification, including managing live inspection data for customers on ITAR production lines.
Digitalization & Sustainability: Developed and implemented custom VBA-driven version of works order cards as live Excel document, successfully modernizing operational tracking and eliminating paper works cards from the shop floor.

Education

NVQ Level 4 (HNC) - Manufacturing Engineering

Siemens Advanced Apprenticeship

Newcastle

NVQ Level 3 - Manufacturing Engineering

Tyne Met College