Ishita Tudu

Results-driven MSc Geoinformatics graduate with 2+ years of project-based experience spanning GIS mapping, remote sensing, LiDAR analysis, and AI/LLM data operations. Proven track record delivering high-accuracy geospatial datasets for government-scale projects (Survey of India – Swamitva) and enterprise AI pipelines. Adept at bridging the gap between spatial data science and emerging AI workflows — combining domain expertise in ArcGIS, QGIS, and ENVI with hands-on experience in prompt engineering, model evaluation, and LLM quality assurance.

Seeking remote roles in GIS, geospatial data engineering, AI data annotation, or LLM operations.

Analyst – AI/LLM Practice - Innodata India Private Limited

(2025-12 - 2026-05)

• Design complex, multi-turn prompts and model responses aligned to diverse project specifications.
• Build and refine evaluation rubrics to assess LLM outputs for quality, reasoning accuracy, and task correctness.
• Conduct systematic model benchmarking using AI-driven QA tools, ensuring outputs meet production-grade standards.
• Collaborate with cross-functional teams to iteratively improve prompt strategies and evaluation frameworks.

Senior GIS Executive - iMerit Technology

(2025-01 - 2025-03)

• Performed high-precision LiDAR point cloud interpretation and 3D feature recognition for enterprise geospatial datasets.
• Executed structured data annotation workflows on AWS-based platforms, maintaining strict accuracy and throughput targets.
• Reviewed and validated outputs against quality benchmarks; flagged and resolved edge cases with senior reviewers.

GIS Engineer - CSL Infotech

(2024-01 - 2024-03)

Project: Survey of India – Swamitva Scheme (Haryana)

• Digitised high-resolution drone imagery for village-level land demarcation under the national Swamitva land rights programme.
• Conducted rigorous QC/QA on mapped features — achieving consistent spatial accuracy across large-scale parcel datasets.
• Maintained and updated geodatabases supporting government land administration records.

GIS Intern - Sententia Lustrum Ltd

(2023-01 - 2024-03)

• Cadastral digitisation and georeferencing for land parcel boundary datasets.
• Geospatial mapping of water and gas pipeline infrastructure using ArcGIS and QGIS.
• Prepared and validated spatial layers through standard GIS quality control procedures.

M.Sc. - Geoinformatics - Adamas University (2022-01 - 2024-01)

B.Sc. - Geography (Hons.) - Krishnath College, Kalyani University (2019-01 - 2022-01)