● Cloud Architecture

• Cloud Engineer utilizing Azure and AWS to manage and provision resouces.

• Resize Azure VMs using Azure Advisor and performance metrics to optimize compute costs.

• Configure cost tracking for AKS clusters using Azure Cost Management, tagging policies, and ARM templates.

• Automate onboarding of 100+ servers to enterprise monitoring system using PowerShell scripts.

● Corporate Innovation

• SME for AI and robotics pilots, conducting startup evaluations based on technology readiness, scalability, and enterprise applicability; advised go/no-go decisions by assessing integration feasibility and strategic fit.

• Develop internal market and technology intelligence reports - analyses on Data Center & AI, Nuclear Energy, Grid Interconnection Queues, and Wind Blade Recycling - to support senior executive decision-making; translated complex technical landscapes into strategic insights aligned with business objectives and innovation priorities.

● Operational Excellence

• Technical project manager for the Spot robot from Boston Dynamics, overseeing its software updates/patches, autonomous missions, and implementation in substation inspections. Managing AI integration to leverage advanced computer vision processing, enabling thermal, and LiDAR sensors for data collection and analysis.

• Develop Python scripts to clean, calculate, and visualize data from 17,000 outages for a cost-benefit analysis aimed at opening a new service center. Scaled scripts into a Flask application for upper management usability.

● Full stack engineer, utilized C#, REACT, SQL, and host of other tools.

• Developed and maintained internal web and client/server applications in an Agile framework, utilized by 100s of engineers and 8 sister companies.

● Developed, integrated, and managed the life cycle of a Python-based error-correction tool in partnership with Iberdrola Middle East.

• Tool identifies and correct thousands of Distribution and Transmission assets. Achieving a 98.6% reduction in correction time, decreasing data cleaning labor from 6 hours to 5 minutes.

• Scaled into a web application and hosted the tool on a server for user accessibility.

Conducted research at the Sustainable Power and Energy Lab (SPEL) - A Partnership of UCONN and Eversource Energy.

● Smart Charging Algorithms to Enhance Grid Resilience in Power Systems

● Optimal Allocation of EV Charging Stations

● Modern Distribution Systems Resilience

● Transformed unprocessed data into visual analytical representations to facilitate effective business decision-making and operations.

● Provided technical support to staff in their use of EPIC Electronic Health Record (EHR) systems

● Troubleshooted software issues and placed accurate tickets through ServiceNow software