Grid software for energy markets,
storage, and modern power systems.
I build the data layer of the grid, pulling real market data from CAISO OASIS, modeling LMP decomposition and economic dispatch, simulating BESS control logic, and deploying cloud infrastructure for power engineering workloads.
Simulated CAISO NP15 telemetry. Values update every 2 seconds.
Built to understand how real power systems work.
CAISO's wholesale electricity market generates LMP price signals every 5 minutes across 4,900+ pricing nodes. The raw OASIS API data requires domain expertise in market economics to interpret — most engineers never see past the raw CSV.
Built a full-stack dashboard ingesting real-time CAISO data via gridstatus, decomposing LMP into energy, congestion, and loss components, and applying merit order clearing and economic dispatch models from Kirschen & Strbac to produce actionable grid operations insight.
Live dashboard serving interactive Plotly charts: LMP components, NP15/SP15/ZP26 hub spreads, generation mix with duck curve, BESS charge/discharge cycles, and system load profile. Deployed on Render with 5-minute server-side caching.
Simulates an energy management system with solar generation, battery storage, and mixed loads. Runs minute-by-minute dispatch decisions to balance cost, reliability, and grid dependency.
The dispatch algorithm minimizes grid import cost by preferring solar self-consumption, then battery discharge during peak tariff periods, while respecting SOC constraints, C-rate limits, and thermal bounds.
Terraform IaC that provisions a full circuit simulation environment on AWS in one command: VPC, EC2 with ngspice pre-installed, encrypted S3 for results, and least-privilege IAM roles.
Infrastructure designed for engineering workloads: isolated VPC, security groups scoped to simulation traffic, S3 lifecycle rules for result archival.
Built and maintained cross-platform mobile features using React Native and TypeScript. Collaborated via GitLab, writing component-driven UI and integrating backend APIs.
Contributing to energy access initiatives that bring reliable power to underserved communities. Working at the intersection of power engineering and humanitarian impact.
Teaching Quran recitation and memorization across age groups. Breaking down complex material for learners at different levels sharpened how I communicate technical ideas.
I study Electrical Engineering at San Jose State University, focused on power systems. The modern grid is being asked to absorb solar variability, dispatch BESS in real time, and clear wholesale markets every five minutes — that takes engineers who understand both the physics and the software stack.
I learn by building things. That means pulling real LMP data from CAISO OASIS, implementing economic dispatch from first principles, and simulating EMS control logic against actual physical constraints — not toy datasets.
Outside of engineering I teach Quran at Masjid Muhajireen and volunteer with KiloWatts for Humanity, a nonprofit that installs solar microgrids in off-grid communities.
Interested in power systems, grid software, or energy markets? Open to internship opportunities. Reach out.