Enterprise work, technical challenges, and measurable outcomes.
Detailed accounts of how we've helped organizations navigate complex transformations — the challenges they faced, the approach we took, and the results we delivered together.
Migrating 2,200 applications to the cloud in 24 months
A multinational manufacturer operating across 70+ countries needed to exit aging data centers under a hard 30-month deadline. We orchestrated one of the largest application migration programs in the sector, moving over two thousand workloads to a cloud-first architecture ahead of schedule.
- —2,200 legacy applications spread across two end-of-life data centers with no unified inventory
- —Hardware procurement lead times of 12+ weeks made scaling for seasonal demand nearly impossible
- —A hard 30-month exit deadline imposed by the data center lease, with zero tolerance for downtime on production lines
- —Decades of undocumented interdependencies between applications made risk assessment difficult
- +Built an automated application dependency mapping tool to catalog all 2,200 workloads and their connections in 6 weeks
- +Designed a phased migration wave plan grouped by dependency clusters, with parallel run environments for critical systems
- +Used AWS Application Migration Service for lift-and-optimize, with automated cutover and instant rollback capability
- +Embedded a dedicated cloud governance team to manage cost, security, and compliance throughout the program
AI-driven inventory optimization across 200 stores
A brick-and-mortar retailer with 200+ stores and 4,500+ SKUs was losing revenue to stock-outs on fast-moving items while capital sat trapped in overstock. We built a predictive inventory platform that transformed their supply chain from reactive to anticipatory.
- —Chronic stock-outs on high-velocity SKUs costing an estimated 8% in lost revenue annually
- —Overstock on slow-moving items tied up working capital and required deep discounting to clear
- —Manual reorder processes relied on store-manager intuition, with no demand forecasting capability
- —No real-time visibility into inventory across the 200-store network
- +Engineered a predictive demand forecasting engine using time-series models trained on 18 months of POS data
- +Built a real-time inventory monitoring pipeline streaming stock levels from all 200 stores every 5 minutes
- +Developed automated reorder triggers with dynamic safety-stock thresholds per SKU per store
- +Shipped a store-level dashboard giving managers actionable restock alerts and exception reports
Replatforming a monolith into a real-time, cloud-native system
A high-traffic e-commerce platform was buckling under its own growth, with slow response times, frequent outages, and rising operational costs. We led a full modernization program that decomposed the legacy monolith into a resilient, real-time architecture.
- —A legacy monolith with response times exceeding 800ms during peak traffic, driving cart abandonment
- —System availability hovering around 99.5%, with unplanned outages during high-volume sales events
- —Rising operational costs with no clear path to scale without a major infrastructure investment
- —Security incidents increasing 15% year-over-year as the aging codebase accumulated vulnerabilities
- +Decomposed the monolith into 40+ microservices with clear domain boundaries and independent deployment pipelines
- +Rebuilt the data layer with a real-time analytics pipeline enabling sub-second personalization and pricing
- +Implemented AI-driven marketing optimization, replacing manual campaign management with automated targeting
- +Established a continuous security program with automated vulnerability scanning and incident response SLAs
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