Professional Experience
Experience
Twelve-plus years of hardware quality engineering across four domains — automotive, hyperscale cloud infrastructure, data center networking, and humanoid robotics.
Positions
CURRENT · DEC 2025 – PRESENT
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
JUN 2025 – NOV 2025
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
APR 2021 – MAR 2025
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
MAR 2017 – APR 2021
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