Geospatial AI & Computer Vision Engineer

ASHUTOSH BARUAH

+91-995******* **********@*****.*** LinkedIn Github

TECHNICAL SKILLS

● Core AI & Computer Vision: Deep Learning, Object Detection, Semantic Segmentation, OpenCV, SAM, Vision Transformers, PyTorch, Optuna, TorchServe, ONNX runtime.

● Geospatial & Sensor Data: Hyperspectral Imaging, LiDAR,GIS, Rasterio, GDAL, Qgis, Arcgis Pro & Online.

● Programming: Python, SQL.

● MLOps & Cloud: Docker, AWS, CI/CD Pipelines.

PROFESSIONAL EXPERIENCE

Freelancing & Consulting January 2025 - Present

● Providing specialized technical consulting for diverse geospatial projects, ranging from automated mapping workflows to geospatial intelligent data pipelines.

● Developed a zero-shot object labelling tool that reduced manual annotation effort by 85% by integrating Meta SAM with a custom CLIP (OPENAI) based prompting engine to automatically generate segmentation masks from text descriptions.

● Developed and deployed enterprise-grade ArcGIS Online applications utilizing Survey123 and Experience Builder, alongside performing advanced spatial analysis and modeling in QGIS and ArcGIS Pro. Geospatial Data Scientist (Manager), Escorts Kubota Limited, Faridabad August 2023 - July 2024

● Achieved a 80% classification accuracy for 6+ crops type across heterogeneous Indian agro-climatic zones outperforming baseline Random Forest models by 14% by developing a deep CNN model to process Sentinel-2 time series data.

● Automated extraction of cadastral farm boundaries across diverse topographies reducing manual digitizing time using Meta’s SAM model combined with edge detection post processing to enforce geometric closure of farm boundary.

● Developed a hyper local crop yield prediction engine for 4 districts across 2 states achieved a test MAE of 0.03 t/ha (30 kg/ha) across the four Indian states by integrating Sentinel-2 multispectral indices with localized rain gauge data from weather stations and district level fertilizer consumption data using a LightGBM regressor.

● Optimized the tractor Dealer network by building a location intelligence model that fused historical sales with geospatial layers( crop biomass/density, soil texture and road accessibility) to eliminate inter-dealer sales cannibalization, increase market penetration and reduction in logistics overhead. Geospatial Data Scientist (PGET), Escorts Kubota Limited, Faridabad July 2022 - August 2023

● Scaled a crop health monitoring system to process 50,000 acres of satellite imagery daily with a 40% reduction in infrastructure costs and 10% improvement in F1-score for pest detection using FastAPI, rasterio & TiTiler for efficient multiband-tiling in AWS.

● Engineered a serverless ML pipeline capable of scaling from 0 to 10,000+ concurrent inference requests ensuring appropriate upscaling and downscaling for seasonal agricultural demands by utilizing AWS Lambda, AWS Step functions and S3.

● Developed an automated, event driven satellite data pipeline for farm management system using STAC to successfully scale to 2500+ farmers for farm registration to visualization and dynamically rendering of PNG map overlay.

Intern, Escorts Kubota Limited, Faridabad Jan 2022 - July 2022

● Designed a real-time early warning system for small land holder farmers reducing crop stress by 10% and optimizing fertilizer application by 20% by integrating edge-deployed IoT sensors with a rule-based engine for crop specific phenological thresholds.

● Developed a high precision autosteer control system for autonomous tractors, achieving a sub 5 cm

“pass-to-pass” accuracy by implementing a multi sensor fusion pipeline and refining with kalman filtering and RTK-PPP.

EDUCATION

Master of Technology (M.Tech.) in Geoinformatics August 2020 - July 2022

● Thesis: Efficient local similarity-based hyperspectral imagery classification using deep neural networks.

● Leveraged PointNet to process unstructured LiDAR point cloud data and developed a semantic segmentation pipeline for urban tree detection.

● Key Coursework: Remote Sensing, Digital Image Processing, Spatial Database Systems, GNSS, LiDAR Bachelor of Engineering (B.E.) in Computer Science & Engineering August 2015 - July 2019

● Project : Home Automation with Digital Locking and Alert System using IoT based systems Certifications

● Space Technologies Application in the field of Agriculture (InSpace - ISRO)

● IITB-ISRO-AICTE Mapathon

● Neural Networks and Deep Learning (Coursera)

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