Delivery Experience & Applied Projects

Selected examples of enterprise delivery, AI-driven platform innovation, and applied research demonstrating execution maturity and measurable business outcomes.

Enterprise Case Work

NDA-safe examples from enterprise engagements

Enterprise HR & Workforce Platform Modernization

Global Management Consulting Leader

Context

Large-scale HR transformation initiative requiring modernization of legacy systems, integration of multiple SaaS platforms, and implementation of AI-driven workforce analytics for 1000+ enterprise clients.

What Was Delivered

Cloud-native, microservices-based HR platform supporting multi-tenant deployment
AI/ML-powered talent analytics, workforce optimization, and predictive insights
Seamless integration with existing ERP, CRM, and analytics ecosystems
Enterprise-grade security, compliance, and audit capabilities

Business Impact

25% improvement in operational efficiency through automation
Unified workforce intelligence across fragmented systems
Real-time analytics supporting strategic decision-making
Scalable platform serving thousands of enterprise users globally

Role: Senior Manager Software Engineering & Chapter Lead

Duration: Apr 2019 - Oct 2024

AI-Driven Oil Trade Analytics & Decision Intelligence Platform

Global Digital Transformation Consultancy

Context

Commodity trading firm requiring AI-powered analytics for market intelligence, risk management, and trading optimization in volatile energy markets.

What Was Delivered

Predictive analytics platform using machine learning for market forecasting
Real-time decision intelligence dashboards for trading operations
Integration with existing ETRM and risk management systems
Cloud-based architecture enabling global access and scalability

Business Impact

25-40% improvement in decision accuracy through AI insights
Faster response to market volatility and trading opportunities
Unified view of risk across commodity portfolios
Reduced operational complexity through platform consolidation

Role: Technical Lead

Duration: Nov 2017 - Jan 2019

Applied AI & Innovation

Research and applied machine learning projects

Deep Learning for Time Series Forecasting

Focus

Novel deep learning architectures for financial market prediction, combining LSTM, transformers, and attention mechanisms for multi-horizon forecasting.

Outcome

Advanced time series models demonstrating improved accuracy over traditional methods, applicable to trading, demand forecasting, and predictive maintenance.

NLP for Document Understanding & Information Extraction

Focus

Transformer-based NLP systems for automated document analysis, entity extraction, and semantic understanding across unstructured enterprise data.

Outcome

Production-ready document intelligence systems reducing manual processing time and enabling automated workflows for contract analysis and compliance.

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