Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Irfan GIS Portfolio

Irfan GIS Portfolio

A comprehensive showcase of large-scale Geospatial and Civil Engineering projects. This portfolio highlights my expertise in maintaining 99.89% data accuracy across massive datasets, including the management of 200,000+ land parcels for the AP Resurvey project.

Key Technical Competencies:

GIS/CAD: ArcGIS Pro, QGIS, AutoCAD, Civil 3D.

Engineering: M.Tech in Structural Engineering with a focus on infrastructure assets.

Operations: End-to-end project management, from drone data processing to final database delivery.

Bridging the gap between high-precision mapping and structural integrity.

Avatar for Irfan Shaik

Irfan Shaik

February 24, 2026

Transcript

  1. TECHNICAL PORTFOLIO TECHNICAL OPERATIONS LEAD | SENIOR GIS MAPPING SME

    Shaik Mohammad Irfan M.Tech. Structural Engineering | 8+ Years Geospatial Expertise SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 01 / 08
  2. Programmatic Impact 200k+ PARCELSVALIDATED SCALE OF OPERATIONS 99.8% PRECISION FLOOR

    RMSE STATISTICAL VERIFICATION 5cm GSDRESOLUTION UAV PHOTOGRAMMETRY STANDARD SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 02 / 08
  3. 01. AP Resurvey Project DIGITAL TWIN INFRASTRUCTURE BASELINE Directed the

    technical pipeline for 200,000+ parcels. Managed the transition from legacy 2D records to centimeter-accurate spatial models. Technical Highlights: • Integrated CORS-GNSS networks for RTK Drone Ops. • Managed DSM-to-DTM bare-earth filtering. • Adhered to 6-decimal coordinate precision. OVERSEEING THE DRONE FLY PLANING TO CAPTURING THE REALITY AT 6-DECIMAL PRECISON SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 03 / 08
  4. 02. SVAMITVANational Scheme UAV-LED HABITATION VALIDATION Personally mapped 20,000 units

    and audited 40k. Resolved spatial discrepancies between legacy records and modern imagery. Technical Highlights: • Orthomosaic generation with 5cm GSD. • Ground Truth (GT) reconciliation protocols. • Unique Land Parcel Number (LPN) assignment. SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 04 / 08 1. Habitation Area, 2. Vectorized Polyon, 3. Final Digital Map
  5. 03. APSACDILRMP Implementation LEGACY-TO-GIS MODERNIZATION PIPELINE Vectorized 2,500+ legacy cadastral

    maps. Designed systemic workflows for raster cleaning and at- tribute linking. Technical Highlights: • Established strict Topology Rules (No overlaps). • Vertex Snapping for geometric integrity. • Database normalization for GIS interoperability. SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 05 / 08 LEGACY MAP VS DIGITIZED MAP
  6. 04. POLRInitiative TEXTUAL & SPATIAL RECONCILIATION Standardized the purification pipeline

    to reconcile textual revenue registers (ROR/Adangal) with physi- cal reality. Technical Highlights: • Resolved spatial litigations via ground truth. • Synchronized spatial and alphanumeric datasets. • Developed SOPs for Feature Extraction. SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 06 / 08 CONVERSION OF OLD LEGACY TEXTUAL DATA TO ONLIE READY DIGITALIZED DATA
  7. Technical Leadership Instrumentation SME Calibration master for DGPS, ETS, and

    RTK field telemetry. Software Lead Primary instructor for QGIS and AutoCAD vectorization. Mentorship Personally trained 100+ col- leagues in 6-decimal precision. SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 07 / 08 Trained 100+ at Ground Level Trained 100+ on Digitizing Tools Mentored 10+ Jr Analysts
  8. Strategic Roadmap: HMDA 3D Digital Twin DIRECT APPLICATION OF SME

    EXPERTISE TO THETCURREGION LiDAR &Ground Truth I will utilize 8 years of CORS-RTK expe- rience to ensure that the LiDAR point clouds match the physical ground real- ity exactly. By establishing high-precision Ground Control Points (GCPs), we will eliminate the vertical and horizontal drift that typically affects large-scale urban mod- els. High-Fidelity Modeling Applying Structural Engineering logic to Level of Detail (LoD) building extraction. I will oversee the mathematical snap- ping of building vertices to the 6th decimal place, ensuring that the 3D semantic layers are consistent, non- overlapping, and survey-accurate for the master database. Scrum Framework I will manage the TCUR map- ping program using tile-based production Sprints. This Agile approach will facili- tate a 20% increase in through- put while maintaining rigorous QA/QC gates for every tile be- fore final integration. www.IrfanMaps.com SHAIK MOHAMMAD IRFAN | GIS SME | HMDA 3D DIGITAL TWIN 08 / 08 MORE AT: