Full Stack Engineer with 5+ years of experience building production-grade energy market platforms, real-time IoT dashboards, and asset management tools. Currently at Fluence Energy building the Mosaic BESS bid optimization platform — operator dashboards, backend APIs, and cross-team integrations across AEMO NEM, CAISO, ERCOT, and MISO markets.
Core stack: React.js / TypeScript (frontend) · Python / Django (backend) · Azure Cloud
- 🔋 Currently building real-time operator dashboards for battery energy storage bid optimization at Fluence Energy
- ⚡ Working across Mosaic, NISPERA & Fluence OS teams — frontend views, shared component libraries, and backend integrations
- 🌬️ Previously built a wind farm monitoring platform from scratch (React + Django + Azure IoT)
- 🛠️ I ship reusable React component libraries, D3.js data visualizations, and Django REST APIs in production
- 📫 Reach me at [email protected]
Mosaic BESS Bid Optimization Platform — AEMO NEM, MISO, CAISO, ERCOT
Armada Application (Frontend + Backend)
- React.js operator dashboards with MUI, Redux, and custom SVG/D3.js visualizations
- Live bid monitoring, dispatch schedules, battery state-of-charge, and forecast display widgets
- Reusable component library: Virtual Tolls interface, market config panels, alert views — all with Vitest tests
- Python/Django backend: bid configuration APIs, market data ingestion, operator alert systems
- MISO market expansion: LMP node maps, DART spread dashboards, ESR config forms
Cross-Team Integration — NISPERA & Fluence OS (FOS)
- Integrated frontend views surfacing NISPERA battery health metrics and degradation trends inside Mosaic
- FOS fault detection UI: anomaly heatmaps, cell-level diagnostic drill-downs, sensor correlation plots
- Shared React component library consumed across Mosaic + NISPERA teams
- Backend microservices aggregating Grid Stack Battery Module telemetry (voltage, temp, SOC, impedance)
Real-time IoT monitoring for enterprise wind energy operators
- Built from scratch: React.js frontend + Django REST Framework backend
- Interactive dashboards: turbine sensor data, alert timelines, power generation analytics with D3.js and React Charts
- Azure IoT Hub → Stream Analytics → Time Series Insights pipeline from SCADA systems
- Django APIs: sensor ingestion, trend queries, alert CRUD, RBAC — all Swagger-documented
- CI/CD with Azure DevOps YAML + Docker for zero-downtime deployments
| Project | Tech | Description |
|---|---|---|
| Tomato-Price-Prediction | Python, LightGBM, XGBoost | District-wise daily tomato price forecasting — 10 data sources, 150+ ML features, multi-horizon predictions for 17 Karnataka districts |
| leaf-diseases-predition ⭐20 | PyTorch, TensorFlow, Keras, FastAI | Multi-model deep learning benchmark for plant disease classification across 4 frameworks |
| online-shopping-system-advanced ⭐448 | PHP, MySQL | Full-featured e-commerce platform with advanced admin panel |
| event-management ⭐263 | PHP | College event registration and management system |
Excellence Award (2022 & 2023) — Terawe Corporation
Recognized for outstanding performance and exceptional contributions to energy platform and IoT client delivery across consecutive years.
