• Led cross-functional teams within the Generative AI CoE, driving innovation and strategic initiatives across the Asia Pacific region
• Led capability assessments and defined solution roadmaps, supporting proposal strategy across multiple client engagements

Client: Manufacturing Client

• Led solution architecture, AI design, and platform development for an Agentic AI-powered predictive maintenance and strategy optimisation platform, moving maintenance planning towards risk-driven decisions
• Designed Generative AI workflows to review SAP work orders and engineer notes, improve functional location and material mappings, and identify failure and component replacement events hidden in maintenance text
• Defined reliability engineering and Weibull analysis approaches to assess asset failure probability, hazard, and remaining useful life across material, equipment, and functional location levels
• Designed agentic planning and optimisation workflows that balance asset criticality and failure risk with labour, cost, inventory, workforce skills, and shutdown constraints; recommendations remain subject to engineer review

Client: Pharma Client

• Led the architecture, design, and delivery of a Generative AI training and evaluation platform for pharmaceutical sales teams, automating quiz generation, answer evaluation, and knowledge assessments using AWS, FastAPI, React, and LangChain
• Delivered a scalable RAG chatbot and analytics platform to support knowledge access and learning effectiveness across the organisation
• Acted as Solution Architect and Delivery Lead overseeing end-to-end implementation of generative AI solutions, ensuring alignment with business objectives and technical feasibility

Client: FMCG

• Built and deployed granular volume forecasting models across the North American market using Python, PySpark, and Databricks, achieving 90% accuracy and improving planning across customer, location, and package dimensions
• Designed scalable MLOps pipelines in Azure, implementing CI/CD and Continuous Training processes, enhancing reliability, monitoring, and deployment efficiency

Client: Pharma Manufacturer

• Developed a GenAI-based tool to automate the extraction of key data from US Government pre-solicitation and solicitation bids, accelerating bid creation for sales and supply chain teams
• Developed a competitive intelligence pipeline leveraging FDA inspection news and web intelligence, with LLM-based analysis deployed using Airflow, Vertex AI, and BigQuery on Google Cloud Platform

Client: Rolls-Royce

• Explored unsupervised learning methods to predict aircraft engine part failures, led the deployment of physics-informed ML predictive maintenance models for two parts across 1,000+ engines, and built an autoencoder-decoder model to detect anomalies by modelling new engines on the test beds using 250+ parameters
• Created a "Human with AI" tool that saved 1,200+ man-hours by assisting SMEs in diagnosing engine issues
• Developed a supplier optimisation engine that influenced £180M in sourcing decisions

Client: FMCG

• Developed a workforce planning application that assigned manufacturing jobs to contractors based on preferences, availability, and historical performance using optimisation techniques

Client: OLAM International

• Set up a Data Centre of Excellence using Azure Cloud and built scalable data pipelines

• Collaborated on data science initiatives to optimise store performance and operations across Tesco's UK, Central Europe, and Ireland markets in the Space, Range, Display, Merchandising, and Promotions domain

Client: Walmart International

• Improved under-stocking for Walmart's LATAM supply chain, delivering $1.2M/month in savings by modelling supplier delivery risk (75% accuracy), forecasting lead times (85% SMAPE), and suggesting an optimised EOQ/reorder points that integrate these risks via integer programming and Monte Carlo simulations
• Built an NLP-based PoC to estimate ingredient composition and cost in food items using USDA nutrient data, aiding sourcing managers and food scientists in procurement decisions
• Collaborated with cross-functional teams to develop an interactive web application that empowered sourcing managers and buyers with real-time decision-making tool