---
title: "RAJAT SINGH - GIS Engineer | Utility in Dehradun | Tal"
description: "Meet RAJAT SINGH, GIS Engineer | Utility based in Dehradun."
image: "https://tal.club/meet/rajat-singh/share-image"
---

# RAJAT SINGH on Tal

## Headline

GIS Engineer \| Utility

## Location

Dehradun

## Work experience

GIS Engineer \| Utility at RMSI, Sep 2025 \- Present · 10 mos, Dehradun, Main Gas Pipeline Feature Editing & Realignment Specialist using ArcFM \(Schneider Electric GIS extension\)\. Key responsibilities: Performing detailed feature editing on main gas pipelines, including reshaping, dimension adjustments, positional corrections, and realignment for high\-accuracy spatial mapping\. Conducting remapping and realignment of main gas pipeline features by referencing LiDAR points \(from point cloud data\) to ensure precise alignment with actual terrain and surveyed positions\. Aligning and utilizing LiDAR points as base references for pipeline editing, realignment, and remapping to correct legacy data and achieve sub\-meter accuracy\. Integrating reference data from grid maps, LiDAR points, and DocuWare documents \(scanned as\-builts, survey records\) to update geodatabase geometry and attributes for main gas pipelines\. Ensuring connectivity, as\-built accuracy, and compliance with utility standards through quality checks and validation in ArcFM\. Hands\-on expertise in geospatial editing using ArcFM and LiDAR\-derived references to support reliable gas distribution infrastructure and operational integrity\.

Geographic Information Systems Consultant at CSL Group, Inc\., Jul 2025 \- Sep 2025 · 3 mos, Dehradun, Geospatial Annotation & Measurement Specialist using Attentive AI's AutoMeasure \(AI\-powered takeoff and property measurement tool, now Beam AI\)\. Key responsibilities: Serving as GIS Consultant, handling landscape annotation and automated measurements on aerial/satellite imagery for property takeoffs in landscaping, paving, and field services projects\. Utilizing AutoMeasure platform to perform AI\-driven feature detection and annotations \(e\.g\., lawns, driveways, sidewalks, hardscapes, pavements\) similar to vector digitization, area/length calculations, and editing workflows in QGIS\. Reviewing and refining AI\-generated annotations through manual edits, custom splits, boundary confirmations, and adjustments to ensure high\-accuracy measurements and reports\. Processing property addresses, integrating aerial data, and generating precise takeoff outputs for bidding, planning, and operational use in geospatial applications\. Contributing to efficient GIS workflows by leveraging AI tools to reduce manual effort, improve speed, and enhance data reliability in landscape and property analysis\. Gained hands\-on experience in AI\-enhanced geospatial tools and consulting for accurate, scalable property measurement solutions\.

Trainee at RMSI, Apr 2024 \- Nov 2024 · 8 mos, Dehradun, Trainee in Annotation & Labeling for AI/ML and Autonomous Driving Projects using Kognic annotation platform \(Qualcomm project\)\. Key responsibilities and learning: Assisted in high\-precision annotation and labeling of multi\-sensor data \(camera, LiDAR\) for training machine learning models in autonomous vehicle technologies, focusing on object detection, semantic segmentation, instance segmentation, and object tracking\. Used Kognic software for human\-in\-the\-loop annotation workflows, learning to label dynamic objects \(vehicles, pedestrians, road elements\) and ensure data quality through sensor fusion and automated checks\. Contributed to High\-Definition \(HD\) Mapping tasks for autonomous vehicles, adhering to standards like Navigation Data Standards \(NDS\) and ADAS Interface Specifications, by supporting labeling of static and dynamic features\. Supported Qualcomm autonomous driving project by helping create accurate annotated datasets essential for AI model development in ADAS and self\-driving systems\. Conducted basic quality checks, followed annotation guidelines, and participated in iterative refinements to build reliable training data for safety\-critical applications\. Gained foundational hands\-on experience in AI data annotation using Kognic platform, HD mapping, and geospatial technologies for autonomous vehicles during trainee role at RMSI\.

Data Entry Clerk at Sai A1 Services, Oct 2021 \- May 2023 · 1 yr 8 mos, Dehradun, Uttarakhand, India, Data entry spacialist And Account Management

## Education

Bachelor of Computer Application BCA, Information Technology, Indira Gandhi National Open University

12th, Business/Commerce, General, Kendriya Vidyalaya \(KV\)

[View the original profile](https://tal.club/meet/rajat-singh)

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