Shivam Kumar

Results-driven GIS and Geospatial Technology professional with 3+ years of progressive experience spanning autonomous-vehicle HD mapping, enterprise spatial database management, and government geospatial and land-record projects. Currently contributing to the NAKSHA (National Geospatial Knowledge-based Land Survey of Urban Habitations) project under the Department of Land Resources (DoLR), Government of India, supporting urban land and parcel-level GIS, cadastral data management, ground-truthing, and GPS/GNSS-based field data validation. Proven track record in spatial data quality assurance, ArcGIS/QGIS-based analysis, AI/ML dataset curation, remote sensing, and enterprise GIS coordination.

Adept at translating geospatial data into actionable land administration and e-Governance solutions.

Senior GIS Executive - MP State Electronics Development Corporation (MPSEDC) – NAKSHA Project, Department of Land Resources (DoLR), Government of India

(2026-05)

• Supporting the NAKSHA (National Geospatial Knowledge-based Land Survey of Urban Habitations) project under DoLR, contributing to GIS and geospatial data management for urban land and parcel-level mapping.
• Performing cadastral GIS and land-record-related workflows, including creation, editing, and updating of GIS data for urban habitation surveys.
• Conducting spatial and attribute data validation and quality assurance, identifying and resolving inconsistencies across land parcel datasets.
• Carrying out ground-truthing and field survey activities, including GPS/GNSS-supported field data collection to verify mapped land parcels.
• Providing technical support to state governments and Urban Local Bodies (ULBs) on GIS and data-related issues within the NAKSHA application.
• Preparing and validating GIS layers, managing spatial data import/export, and handling coordinate/reference systems for NAKSHA workflows.
• Coordinating with state and project teams, supporting training/handholding and dashboard-based monitoring for NAKSHA implementation.

GIS Engineer - R.M.S.I Private Limited - Noida Sector-16

(2023-01 - 2026-02)

• Developed and maintained HD maps with lane-level details—road markings, signals, and speed limits—to support autonomous vehicle navigation systems.
• Annotated and labeled satellite imagery, LiDAR point clouds, and street-view data for AI/ML training datasets, enabling accurate road segmentation, object detection, and traffic sign recognition.
• Integrated real-time geospatial data for vehicle localization and path planning, improving positional accuracy by fusing GPS and sensor data with HD maps.
• Contributed to simulation environments by creating digital twin road networks for testing AI driving systems prior to on-road deployment.
• Applied Python (GeoPandas, OpenCV) and ArcGIS/QGIS to process large-scale spatial datasets and automate annotation pipelines, reducing manual effort significantly.
• Collaborated with ML engineers to prepare, clean, and validate geospatial datasets for computer vision algorithms in lane detection, pedestrian recognition, and obstacle avoidance.

B.Tech - Computer Science & Engineering - G.C.R.G Group of Institutions, Lucknow | Dr. A.P.J.

Abdul Kalam Technical

University (2019 - 2023)

Class XII - Pt. J.N.S Intermediate College, Renukoot, Sonebhadra (U.P.) (2019 - 2019)

Class X - Pt. J.N.S Intermediate College, Renukoot, Sonebhadra (U.P.) (2017 - 2017)