Govern customer onboarding delivery across all markets within the region, ensuring adherence to global standards, service level agreements (SLAs), and best practices.
Own end-to-end BIM information management for AWS's hyperscale data center program across APJC portfolio, ensuring compliance with ISO 19650 standards and AWS Exchange Information Requirements (EIR)
Delivering value as part of a core engagement team working on a CXO level strategy and transformation agenda – projects range from market entry strategy, growth / turnaround strategy and go-to-market strategy; commercial due diligence, post-merger integration and divestments; digital, cost & organization transformation and rapid value creation.
Serve as the primary Talent Development and Inclusion partner for APAC, representing the function across all regional locations and serving as a trusted advisor to senior business and HR leaders.
Deep Learning Systems Architecture & Ownership : Design and own CNN, U-Net, and ViT systems for precision inspection, measurement, and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility.
Deep Learning Model Implementation & Product Development Ownership: Build, train, evaluate, and maintain CNN/U-Net/ViT models for automated inspection and measurement. Own model performance end-to-end — ablation studies, confidence calibration, product development performance monitoring.
Feature Engineering Pipelines: Build and maintain reliable, versioned feature engineering pipelines that transform raw engineering, sensor, and operational data into structured ML-ready feature sets — delivered to the specification defined
Area A — Scientific ML & PINNs Methodology Origination: Originate and advance PINNs methodology — design physics-constrained loss function architectures, validate digital twin ML components against domain physics (with storage domain expert), and deliver validated prototypes with complete technical documentation to implement. As the sole PINNs methodology originator on the team — this capability cannot be delegated or substituted.
Provide dedicated, white-glove IT support to C-Suite executives, resolving technology issues quickly, professionally, and with minimal disruption to their day
Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions.
Process Documentation: support the review, development, and maintenance of Standard Operating Procedures (SOPs) to ensure processes are accurately documented and aligned with business requirements