Professional Experience

Experience

Twelve-plus years of hardware quality engineering across four domains — automotive, hyperscale cloud infrastructure, data center networking, and humanoid robotics.


Positions

Staff Quality Engineer

1X Technology — Hayward, CA
  • Developed end-to-end quality strategies for humanoid robotic products, covering PCBA, electromechanical subassemblies and full robotic system integration, enabling reliable scale-up from pilot to volume production.
  • Led cross-functional NPI launch execution as the primary operations interface between product development, module engineering, global supply chain, manufacturing process engineering, quality engineering, and manufacturing teams.
  • Led Process FMEA (PFMEA) and Control Plan for robot manufacturing and test flows, identifying failure modes across mechanical, electrical, test, etc. and strengthening process robustness through targeted mitigations.
  • Partnered with test engineering to embed in-station quality checks, functional tests, and automated fault detection into robotic manufacturing workflows. Implemented SPC.
  • Analyzed manufacturing process and test data to identify systemic issues and drive root cause analysis and corrective actions. Implemented design and process changes as part of CAPA.
  • Implemented end to end QMS system and IQC area prioritizing critical assemblies and components.
  • Designed and executed DoEs to establish optimized pass/fail limits, component tolerances, and test thresholds for robotic subsystems, improving test accuracy while minimizing false failures. Used Six Sigma methodology to minimize the variation.
  • Performed extensive problem solving to resolve chronic issues using 8D and Shainin methodologies.
  • Implemented reliability testing baseline for robotic products. Supported DFMEA, process development, and design changes.
  • Drove process and quality improvement initiatives to improve manufacturing yield, equipment UPH, downtime performance, and overall factory readiness during new product introduction.
  • Applied Gage R&R and statistical analysis to validate measurement systems used in sensor calibration, test stations, actuator performance testing, and end-of-line functional tests.
  • Documented and maintained robot quality plans, test procedures, control plans, and data-driven corrective actions, ensuring repeatable execution and audit readiness.
  • Worked with suppliers to resolve supplier quality issues, established process and product requirements.
Humanoid robotics NPI Reliability engineering

Manufacturing Quality Lead

Nexthop Systems — Santa Clara, CA
  • Resolved 20+ critical issues by leading cross-functional teams and implementing CAPA for network switches, which accelerated NPI program milestones. Used A3, 8D, and Shainin methods to perform problem solving.
  • Led problem solving with cross-functional teams for failure analysis (FA) to implement design changes, test coverages, and detections in manufacturing processes. Yield increased from 60% to 95%.
  • Enabled networking platforms with Broadcom Tomahawk 5, Tomahawk 6, and Qumran3D ASICs from SMT characterization builds to final mass production. Established qualification plans. Created MIL and CTQ lists.
  • Reviewed Gerber files, board stack-ups, shadow moiré results, stencil designs, and SMT reflow profiles to ensure manufacturability, adherence to IPC standards, robust solder quality, and overall assembly reliability for HDI PCBs. Used Cadence Allegro.
  • Directed SMT and PCBA process development, incorporating signal integrity requirements and IPC standards to improve manufacturability and system-level performance. Resolved issues with higher BER with connectors, head in pillow, bridging, etc. in SMT, reducing COPQ.
  • Owned customer quality management, customer complaints, field returns, FA reports, and CAPA execution in collaboration with suppliers, internal and external engineering teams. Implemented customer quality KPIs.
  • Collaborated with sourcing teams to qualify alternate suppliers, improve capacity, and reduce single-source risk, generating savings per platform by improving sourcing flexibility and part interchangeability alignment.
  • Implemented supplier qualification and product qualification processes. Managed end-to-end component quality.
  • Implemented HALT/ORT reliability testing to create baseline guidelines to improve MTBF/MTTF.
  • Directed cross-functional program management for network switch and subsystem NPIs from concept through EVT/DVT/PVT builds, creating schedules, ramp plans, and deliverables to ensure on-time, on-budget, and scalable production for domestic and global deployments.
  • Served as the primary global operations interface for NPI programs, partnering with core Product Development, Global Supply Chain, Manufacturing Process Engineering, Quality Engineering, and OEM/CM teams.
  • Established quality metrics, phase-gates, and risk assessment matrices for NPI programs, providing structured escalation and recovery plans in executive reviews.
  • Drove ramp readiness with engineering, operations, and CM teams by planning capacity, managing factory equipment capex, and ensuring component availability, quality, and cost targets were met for seamless NPI-to-production transitions.
  • Collaborated with supply chain teams to manage BOM accuracy, build matrix, and Clear-to-Build (CTB) processes across five SKUs at both global and domestic sites. Ensured seamless transitions from NPI to mass production for NUDD components.
  • Delivered executive-level program reporting on KPIs, defect trends, and risk status, enabling data-driven business and technical decisions.
  • Implemented manufacturing quality database for ODM/CM SFC, material traceability, SMT process, and functional test, and created dashboards for manufacturing KPIs.
  • Implemented robust IQC and OQC processes to ensure the highest quality.
Data center networking ASIC platforms NPI

Sr. Manufacturing Quality Engineer

Amazon Web Services (AWS) — Seattle, WA
  • Directed global NPI and manufacturing quality programs for AWS cloud platforms (including Graviton CPUs, GPU accelerators, networking hardware, and storage systems) from concept through E/D/PVT builds to high-volume production at six ODM sites. Ensured factory readiness for all builds.
  • Reduced fleet failure rates 12% → 3% by applying DOE, Shainin, A3, and 8D methodologies to systemic datacenter failures.
  • Led customer quality management: analyzed fleet health, field failures, and part replacement data; collaborated with datacenter ops to execute CAPAs that improved uptime and customer satisfaction.
  • Drove DFM/DFX initiatives to optimize PCBA, server, and rack designs for manufacturability, testability, and long-term reliability. Enabled several compute, storage, and accelerator platforms.
  • Increased FPY to 97% and scaled weekly output to 140 racks/week by strengthening supplier processes and implementing predictive test analytics.
  • Directed HALT/HASS reliability testing and applied results to improve MTBF/MTTF, ensuring high-reliability hardware.
  • Built predictive dashboards (SQL, Python, QuickSight) to track KPIs, anticipate failures, and deliver insights in executive program reviews.
  • Created Shell/Bash scripts to parse SEL/SDR logs and identify test failures; used SQL and Python to analyze trends and visualize quality data in QuickSight and Python-based dashboards.
  • Performed board-level debugs to verify functionality, isolate issues, and lead root cause analysis.
  • Launched three new Foxconn sites and onboarded HPE as an ODM partner, implementing Six Sigma, Lean practices, and supplier performance metrics for global scalability.
  • Audited and qualified suppliers; presented vendor scorecards and risk assessments in executive QBRs, influencing supplier strategies and next-generation designs.
Hyperscale cloud Reliability engineering Data-driven quality

Quality Engineer

GKN Driveline — Newton, NC
  • Owned customer quality management for Tier-1 OEMs, ensuring compliance with IATF 16949, VDA 6.3, APQP, and PPAP requirements.
  • Led cross-functional problem-solving using 8D, A3, and Shainin methodologies to eliminate chronic defects and repeat failures.
  • Implemented PFMEA, control plans, and MSA (Gage R&R) to strengthen defect prevention and reduce risk.
Automotive Driveline systems

Domain expertise

Methodology fluency

8D, A3, and Shainin problem-solving; PFMEA and control plans; DFM/DFX; statistical process control (SPC); design of experiments (DOE); Six Sigma; IPC standards; IATF 16949, APQP, and PPAP; ODM/JDM/CM management.

Reliability engineering

Weibull analysis (β/η parameters, maximum likelihood estimation, mixed decomposition, B-life calculations); HALT/HASS/ORT testing frameworks; Arrhenius and Coffin-Manson acceleration models; reliability program design for liquid-cooled platforms.

PCB / PCBA

Expert in SMT process setups, initial qualification of NPI boards, problem solving, and production ramp; corner bond adhesives and rework station ERP implementation in Odoo.

Certifications & education

PhD, Information Systems Engineering and Management (in progress)

Harrisburg University of Science and Technology

MS, Industrial Engineering

University of Texas at Arlington

PMP — Project Management Professional

Project Management Institute