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JYOTHISRI JAMPANA

@jyothisrijampana

GIS & software engineer turning geospatial and AI into scalable, actionable decision systems.

India
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What I'm looking for

I’m looking for a role where I can build production-grade GIS and AI systems—full-stack when needed—with strong ownership, real-world impact (Digital Twins, smart cities, monitoring), and a team that values scalable engineering and clear decision outcomes.

I’m a GIS & Software Engineer with 5+ years of experience designing and delivering advanced geospatial systems, full-stack applications, Digital Twin environments, and AI-powered analytical solutions. I consistently translate complex spatial data into intelligent, actionable insights that help teams make better, faster decisions.

In my recent work, I architected a Smart Property Mapping Platform by integrating AutoCAD drawings, GIS layers, PostGIS geospatial databases, and real-time pricing intelligence with Leaflet.js and GeoDjango. I also built an AI-powered Cattle Health Monitoring Dashboard that combines IoT sensor data, vaccination records, and predictive analytics to detect disease outbreaks, then scaled it with a multilingual LLM-based chatbot covering 200+ cattle diseases and localized alerts.

I enjoy building end-to-end systems: from cloud-ready deployment using Docker, Git, and CI/CD pipelines to REST API integration across geospatial and web services. I’ve developed Digital Twin–style dashboards like an Ammonium Sulphate Marketing Insights Dashboard with multiple chart types to visualize dealer and market survey data in a decision-ready way.

Beyond GIS, I’ve created AI products across safety, support, and industry workflows—such as an AI Construction Site Safety Assistant using LLMs with CCTV/IoT/LiDAR, a multilingual e-commerce support chatbot with engagement analytics, GeoAI land-use monitoring using Sentinel-2 imagery, and edge-deployed YOLOv8 waste classification. I also strengthen my foundation with advanced AI/ML and GIS certifications, and I keep exploring new approaches like agentic AI and modern geospatial development practices.

Experience

Work history, roles, and key accomplishments

GD
Current

GIS & Spatial Software Engineer

Geo Lands Doctor

Dec 2023 - Present (2 years 6 months)

Architected and delivered a smart property mapping platform integrating AutoCAD drawings, GIS layers, PostGIS, and real-time pricing intelligence using Leaflet/GeoDjango. Built an AI-powered cattle health monitoring dashboard and a multilingual LLM chatbot covering 200+ cattle diseases with symptom-based diagnosis and localized alerts.

VL

IT/GIS Developer

VVN Technologies Pvt. Ltd.

Jan 2023 - Dec 2023 (11 months)

Developed AI and GeoAI solutions including a construction site safety assistant using LLMs with real-time CCTV/IoT/LIDAR, plus Sentinel-2 land-use monitoring to detect illegal constructions and generate spatial reports. Built computer-vision and LLM applications such as YOLOv8 edge waste segregation, GPT-4 legal document summarization, and an AI retail demand forecasting platform.

Education

Degrees, certifications, and relevant coursework

Vignan's Foundation for Science, Technology & Research logoVR

Vignan's Foundation for Science, Technology & Research

Master of Technology (CS & IT), Computer Science & Information Technology

2023 - 2025

Grade: A

Completed an M.Tech in CS & IT, building IoT-based healthcare patient monitoring and geospatial/AI analytics projects using anomaly detection and doctor-facing visualizations.

Vignan's Foundation for Science, Technology & Research logoVR

Vignan's Foundation for Science, Technology & Research

Bachelor of Technology (Electronics and Communication Engineering), Electronics and Communication Engineering

2020 - 2022

Developed a predictive crop yield forecasting model using XGBoost, time-series techniques, and Sentinel-2 imagery alongside climate and soil parameters.

JNTUK Kakinada logoJK

JNTUK Kakinada

2015 - 2019

Grade: A

Built geospatial analysis pipelines using Python, GeoPandas, Rasterio, and GDAL, applying ML-based spatial analytics for agri-policy decision support and disaster preparedness.

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