Electrical Engineering student at the University of California, Riverside with hands-on experience in power distribution, ArcMaps, electric vehicle infrastructure, solar microgrids, battery energy storage systems, project management and embedded systems. Certified Engineer in Training in the state of California.
Designed full electrical plans for a 750 KW municipal solar carport: single-line diagrams, inverter and transformer selection, switchgear layout, conductor sizing, grounding, and Title 24 compliant lighting. Through the use of As-Builts, Utility Coordination, and NEC guidelines, I developed a design in AutoCAD that optimizes material costs while ensuring safety, code compliance, and efficient energy production for the city, in turn offsetting site load through clean energy generation and contributing to the city’s sustainability goals.
Conducted load flow case studies to optimize reactive power and voltage profiles across a municipal distribution simulation. Tuned generator setpoints, capacitor banks, synchronous condensers, and solar resources. This ensures safe and efficient operation of the electrical grid under varying load conditions and generation scenarios, while identifying potential issues and mitigation strategies.
Read and interpreted as-built drawings for electrical infrastructure projects. Drafted maps and filled attribute tables for visualization and analysis using ArcGIS. This aids in documenting the design and construction of electrical systems for operations, maintenance, and future system planning.
Built a Python script that extracted customer data from XML and generated formatted PDF bills, producing 1,200+ invoices in under 5 minutes. Used libraries such as xml.etree.ElementTree for XML parsing and OS for file handling and many more libraries to automate the entire workflow from data extraction to PDF generation and file organization. This eliminates manual billing workflows for city operations and corrected many underlying issues with previous methods.
Developed electrical infrastructure plans for 10 Level 3 and 10 Level 2 EV chargers. Referenced As-Builts, NEC, ADA, CBC Standards and manufacturer specifications to draft engineering plans in AutoCAD. This project supports fleet and public electric vehicle adoption by increasing accessibility to charging stations.
Designed and built an autonomous car capable of organizing objects (recyclables and trash) in an indoor environment. Integrated LiDar sensors for environment mapping and obstacle detection along with IMU for orientation tracking and computer vision to coordinate the robotic arms pick up sequence with the robots movements. Aiming to create a scalable solution for automated waste management.