
Tushar Katkar
Technology / Internet
About Tushar Katkar:
Highly skilled AI Developer & GIS Specialist with 3+ years of experience in Remote Sensing, Geospatial Analytics, Deep Learning, Spatial Data Engineering, and Agricultural AI Solutions. Proven record of building production-grade AI/ML models, scalable cloud APIs, and enterprise GIS workflows.
Expert in satellite image processing (SAR + Optical), farm boundary extraction, crop type mapping, Pix2Pix GAN models, multilingual LLM pipelines, and geospatial automation. Experienced in leading projects end-to-end—from data engineering and model development to deployment and analytics delivery.
Open to roles in GIS/Remote Sensing Engineering, AI/ML Development, Data Science, and Project Lead positions.
Experience
AI Developer – Map My Crop (Sep 2023 – Present | Pune)
- Developed production-grade AI/ML models for farm boundary extraction (MIoU 0.97), crop type classification (USA & Canada), and cloud cover detection using FCN, U-Net, SegNet, and GAN models.
- Designed the complete SAR-to-NDVI Pix2Pix GAN pipeline, improving cloud-affected NDVI generation using structure-aware loss and superpixel coherence.
- Built a multilingual, farmer-facing AI chatbot using Qwen 2.5 14B + LangChain + IndicTrans, supporting 10+ Indian languages with domain-specific intent handling.
- Engineered 20+ satellite analytics APIs on AWS (S3, Lambda, SageMaker, EC2) for VRA maps, weather-based crop water requirement, yield forecasting, and SAR/Optical data retrieval.
- Led end-to-end geospatial pipelines involving Sentinel-1/2, Landsat, PlanetScope, raster tiling, GPU inference, cloud deployment, and large AOI data automation.
- Collaborated across teams, managed delivery timelines, optimized codebases, and contributed to scalable product development for global agriculture customers.
Education
Master of Science in Earth Observation & Geo-informatics
IIRS–ISRO & ITC University of Twente (India & Netherlands), 2021–2023
Focused on remote sensing, GIS, geospatial analytics, and deep learning applications for environmental and agricultural domains.
Bachelor of Technology in Agricultural Engineering
College of Agricultural Engineering & Technology, Dapoli, 2017–2021
Specialized in agricultural systems, precision farming, and applied GIS/RS technologies.
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