Shailendra Singh PhD, PE, CFM
Water Resources Engineer, Geosyntec Consultants
Shailendra is a water resources engineer with more than 12 years of combined professional and research experience in hydrologic and hydraulic (H&H) modeling, climate-informed flood analysis, dam safety, and watershed planning. He applies process-based numerical models and advanced geospatial and statistical methods to quantify how land-use change, extreme precipitation, and climate escalation reshape flood risk, infrastructure performance, and water quality across site, municipal, and regional scales.
His work spans confidential mining clients, municipalities, sewer districts, and regional planning agencies, delivered through 1D/2D HEC-RAS, HEC-HMS, EPA-SWMM, WASP, and SWAT workflows integrated with ArcGIS Pro and Python-based automation. He co-authored ISWS Bulletin 75 (Illinois Precipitation Frequency Study) and contributes to Geosyntec's technical leadership in Rain-on-Grid modeling, PMP/PMF analysis, and reproducible modeling practice.
- Experience
- 12+ years
- Focus area
- Hydrologic and Hydraulic Modeling
Expertise
- 1D and 2D HEC-RAS modeling, including large-scale Rain-on-Grid applications
- Watershed hydrology using HEC-HMS, EPA-SWMM, and SWAT
- Dam breach, spillway design, and high-hazard dam safety analysis
- Floodplain modeling, mapping, and no-rise / FEMA / state regulatory support
- Rainfall frequency analysis, PMP/PMF estimation, and climate escalation (SSP/RCP scenarios)
- Urban stormwater management, culvert and conveyance design, and stream restoration hydraulics
- Water quality modeling and NARP support using WASP and SWAT
- Statistical, geospatial, and Python-based automation of H&H workflows (ArcPy, ras-commander, SALib)
Technical stack
- HEC-RAS 1D/2D
- HEC-HMS
- EPA-SWMM / PC-SWMM
- StormCAD
- STORMWISE
- SWAT / SWAT+
- DRAINMOD
- RZWQM
- ArcGIS Pro / QGIS
- R programming
- Python
That practice shapes RasFlow Studio: full automation where it helps, operator control where it matters, and a scalable path from watershed inputs to verified HEC-RAS 2D results and client-ready deliverables.