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AI Engineer with 6+ years in Inventory Control & Quality Assurance
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ICQA leader with 3+ years at Amazon driving inventory integrity, quality assurance, and operational excellence across high-volume fulfilment centres in India and the UK. Experienced in leading and coaching associate teams, coordinating SOX-aligned inventory counts and audits, and supporting safety programs and compliance to sustain zero-incident workplaces. Proven ability to measure quality, identify root causes of inventory deviation, and deliver data-driven process improvements that reduce discrepancies, optimize shift forecasting, and accelerate decision-making. Skilled at partnering with cross-functional stakeholders and building scalable, network-wide quality tools that elevate team productivity and customer experience.
Teesside University
MSc Artificial Intelligence (with Advanced Practice)
August 1, 2021 – June 30, 2023
Gujarat Technological University
Bachelor of Engineering · Information Technology
August 1, 2013 – June 30, 2017
Amazon
ICQA Research Analyst & Team Lead
April 1, 2025 – Present
India
Amazon UK Services Ltd.
ICQA Data Analyst
September 1, 2024 – March 31, 2025
United Kingdom
Teesside University
Advanced Practice Internship
September 1, 2022 – December 31, 2022
United Kingdom
Centralized Counting Queries
April 1, 2025 – June 30, 2026
Deployed 12 specialized queries supporting SOX-aligned random counts across INFC South — reinforcing inventory integrity at network scale.
PRISM – Platform for Real-time ICQA Support & Metrics Tool
January 1, 2025 – June 30, 2026
Designed and launched a unified, network-wide ICQA platform consolidating tools, portals, and real-time metrics — directly supporting network-wide fulfilment and quality initiatives for hundreds of PS/PA users across INFC.
Automated Peculiar Inventory Dashboard
September 1, 2024 – March 31, 2025
Built an automated exception-tracking dashboard that reduced processing time by 40%, accelerating root-cause identification for inventory deviation.
Stow-by-Velocity Algorithm
September 1, 2024 – March 31, 2025
Developed a velocity-based stow placement algorithm improving space utilization by 20% and supporting upstream inventory accuracy.
Chime Chatbot Enhancement
September 1, 2024 – March 31, 2025
Enhanced an internal Chime-based support chatbot, cutting stakeholder response times by 30% and improving ICQA-ops communication cycles.
Microsoft Excel Certification
Unknown
June 1, 2026 – Present
110% of Performance Goals Achieved
Amazon EMA3 UK
June 1, 2026 – Present
Process Guide (PG) – Packing Operations
Unknown
June 1, 2026 – Present
Amazon Peak Season Support (4 Peaks)
Amazon
June 1, 2026 – Present
Zero Safety Incident Contribution
EMA3
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across Amazon's UK and India operations, coupled with their Master's degree in the UK and leadership role in a university's Indian Club, suggests adaptability and experience in diverse environments. Their focus on process improvement, data-driven decision-making, and team development aligns with a performance-oriented culture. However, the direct relevance of their past roles to core AI engineering (beyond data analysis) is limited, which might impact cultural fit for a purely research or model development-focused AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team coaching, and stakeholder management skills through their Amazon roles and university leadership. Their experience in driving process improvements, conducting root cause analysis, and supporting safety programs indicates a robust operational fit. The ability to coordinate cross-functional teams and manage projects (as a Mobile Application Developer) further highlights their capacity for collaborative and results-oriented work.