Engineering Team Lead for Nexus Edge product suite, orchestrating the development of hardware design improvements for microgrid + EV charging site intelligent control systems, integrating auxiliary communication products, protocol conversion, and metering solutions.Pioneered the enhancement of system reliability for Zigbee-enabled EVSE networks by conducting comprehensive root cause analysis, resulting in strategic improvements in network and hardware design, and the development of detailed troubleshooting guides and optimized device configurations.Developed a Python-based FFT analysis tool for advanced network troubleshooting, facilitating the detection of cyclical performance issues within cellular, Wi-Fi, and Zigbee networks, thereby significantly enhancing diagnostic capabilities.Directed the re-engineering of the EV Site Kiosk, delivering a cost-effective redesign that significantly improved aesthetics, reliability, versatility, and functionality, cutting the original design's costs by 66%.Executed critical design changes to improve the reliability of cellular and Wi-Fi communications for edge devices, including an antenna redesign, communication MCU upgrades, and the refinement of Wi-Fi networking processes and designs.

Leveraged comprehensive programming and network communications skills to manage the SCADA and DMS system for EPB’s fiber-backed Smart Grid, successfully overseeing software, servers, switches and over 2000 remote IEDs/RTUs including PV and BESS systems with third-party microgrid controllers. This resulted in improved system stability and enhanced grid reliability for approximately 180,000 utility customers.Developed and implemented advanced data solutions utilizing SQL, Python, Excel VBA, and other tools to ensure DMS model accuracy, streamline data pipelines between Oracle and Apache-Cassandra based historian databases, and automate daily SCADA reporting functions. This initiative led to more precise DMS calculations, robust data archival and has also improved Power Factor Control and Voltage Control mechanisms within the DMS.Enhanced utility infrastructure reliability and protection by using C language and other tools for developing backend calculations and creating user-friendly HMI displays that contribute to circuit overloading prevention and increased 12kV automation reliability. Spearheaded the successful configuration, deployment, and testing of Virtual RTUs (VRTUs) and SEL-RTACs for several BESS/microgrid projects, including an experimental microgrid controller developed by ORNL as part of DoE CITADELS, which paved way for future networked microgrid projects industry wide and at EPB.Improved internal workflows and accuracy of operations by creating a Python-based Phase Audit Application for field checkers and integrating switch order generation with SCADA/DMS. These projects have facilitated more accurate GIS/DMS models and better operational efficiency.

As a key player within Ford Land's Global Technology Team, successfully devised IoT and technology systems for global real estate projects, serving as product owner for several smart building/city systems. Concurrently designed integrations leveraging AI/ML to minimize building energy usage, optimizing HVAC systems while enhancing user experience, which led to substantial energy savings and increased tenant satisfaction.Product owner for several IoT smart building and smart city systems, including global spatial analytics sensor strategy, LiDAR, indoor wayfinding, smart parking systems, drone and robot delivery, asset tracking, smart restrooms, master systems integration, building and energy analytics, and wireless spectrum governance.

Worked within the Global Technology Team for Ford Land to design IoT sensors/devices and systems integration strategies for commercial smart building projects at Ford Motor Company facilities.

Proficiently monitored and optimized operations for 16 utility-scale PV plants, using SCADA data analysis to guide the O&M team. Simultaneously, developed an automated solution for monthly and quarterly performance reporting using VBA programming, enhancing reporting efficiency and enabling timely production optimization.

Designed a low-cost, versatile IoT energy modeling system with an integrated network of self-designed Wi-Fi sensor controllers and environmental sensors for high-frequency data collection. Concurrently, developed a Raspberry Pi-hosted web server using Python and Node.js, enabling researchers to stream real-time sensor data remotely, thereby significantly enhancing data accessibility and research potential.

Used Python and other tools to efficiently extract publicly available data from websites, greatly reducing the data collection time for the client.

Diligently assisted in designing substation protection and control relaying systems using AutoCAD for TVA projects. Also, enhanced interdepartmental performance by creating and maintaining customized AutoLISP and VBA programs, highlighting adaptability and initiative in improving operational efficiency.

Pioneered a mobile-app based ridesharing service for college students, with a strategic tiered pricing model, successfully selling the company in 2017 post-effective beta market testing to pursue an electrical engineering degree.

Enhanced drilling and completion operations on an offshore deepwater drilling vessel, led rig and third party personnel to design and manage rig data acquisition, logging, and data streaming to ensure operational visibility, efficiency and safety.

Specialized in geomechanical modeling and BOD development, significantly enhancing the design process for current and future wells while also working as an on-site drilling engineer.Led project to integrate well design software platforms, effectively streamlining design process and data management across departments, resulting in increased operational efficiency.

Created BODs and performed statistical cost estimates for deepwater prospects within Stone Energy.