01
Zero-downtime deployment platform for a nationwide fleet
Prior role · Fortune 500 information services · Cloud, Modernization & IT Operations
Challenge
Software releases to thousands of client-facing nodes across the country were slow, manual, and risky, with outages during deployment windows.
Approach
Architected a high-performance, concurrent deployment and orchestration engine in Rust that coordinates large-scale releases across heterogeneous clusters with automated rollback and verification.
Outcome
Zero-downtime releases as the norm and 99.99% deployment reliability across the fleet.
02
Applied AI inside a legacy fraud-analytics platform
Prior role · Financial-crime analytics · Applied AI & Data
Challenge
A mature analytics product needed modern machine learning and large-language-model capabilities without a rewrite of the legacy systems it ran on.
Approach
Engineered and deployed a suite of real-time machine-learning microservices for transaction anomaly detection, and led pathfinding work integrating LLM and agentic AI workflows into the existing pipelines.
Outcome
High-precision detection of malicious transaction patterns in production and a modernized ML analytics pipeline that the product group continues to build on.
03
Automated hardware validation for prototype memory devices
Prior role · Global semiconductor manufacturer · Embedded, Electrical & OT
Challenge
Next-generation non-volatile memory prototypes required rigorous factory-floor validation, stress testing, and burn-in before they could ship, and existing tooling could not keep pace.
Approach
Built low-level C++ diagnostic and test-automation suites for production test floors, and worked directly with hardware teams to design and run experiments characterizing device behavior.
Outcome
Faster prototype evaluation and a repeatable validation framework that shortened time-to-market for new device generations.
04
Infrastructure-as-code modernization for global engineering datacenters
Prior role · Global semiconductor manufacturer · Cloud, Modernization & IT Operations
Challenge
Bare-metal server provisioning and configuration for high-performance-computing clusters was manual and inconsistent across a global Linux estate.
Approach
Delivered highly available infrastructure with automated configuration management, and built an infrastructure-as-code solution that overhauled rack landing and provisioning workflows.
Outcome
Deployment velocity improved by more than 300%, with consistent, auditable configuration across sites.
05
Embedded power-quality monitor
Independent hardware project · Power systems · Embedded, Electrical & OT
Challenge
Real-time visibility into power phase and harmonic conditions at the point of use, without a rack of bench instruments.
Approach
Designed a custom PCB in KiCad around an ARM Cortex-M4 microcontroller, with firmware performing real-time phase monitoring and harmonic analysis and reporting over a local mesh network.
Outcome
A working board-to-dashboard monitoring device: the same sensor-to-software path we apply to utility, facilities, and smart-city instrumentation.
06
Machine-learning load forecasting for power grids
Electrical engineering research · Power systems · Applied AI & Data
Challenge
Grid operators need to anticipate non-linear load flows under stressed conditions faster than conventional power-flow analysis allows.
Approach
Engineered a deep-learning model in Python to predict non-linear grid load flows and run predictive load analysis under constrained scenarios.
Outcome
A predictive analytics approach applicable to utility planning, demand forecasting, and infrastructure resilience work.