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JR

Jyothsna Reddt

Open to work2 years experience

Geospatial Full-Stack Engineer

Hyderabad, Telangana, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Geospatial Full-Stack Engineer | React \u00b7 Next.js \u00b7 MapLibre GL \u00b7 Node.js \u00b7 PostGIS | ISRO-NRSC

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

41 skills
maplibre glgeoserverpostgisleaflet.jsqgiswms/wfsshapefileraster/vector datacoordinate systemsreact.jsnext.jsvue.jstypescriptjavascript (es6+)reduxpiniatailwind csshtml5css3node.jsfastapirest api designpythonpostgresqlmongodbphppg-cursorawsakamai cdndockergit/githubci/cd pipelinesgithub actionslinuxagile/scrumrbacsystem designperformance optimizationspatial queriesunit testing (jest)api design

Work Experience

Project Scientist, WAPS

National Remote Sensing Centre (ISRO-NRSC)

Jan 2025 - Present Shadnagar
  • Engineered production geospatial dashboards \u2014 WDC 2.0, WDCPMKSY Dashboard, and Nextgen (Bhuvan) \u2014 using React.js, Next.js, TypeScript, and MapLibre GL, delivering satellite and watershed data to multi-tier government users across India
  • Architected WDCPMKSY Dashboard with interactive India map, real-time activity/ state filtering, geotag aggregation, and unlimited streaming NDJSON export via pg-cursor \u2014 handles lakhs of records without server memory overflow; frontend builds Excel client-side via SheetJS
  • Built GeoServer shapefile publishing pipeline and implemented multi-layer swipe operation in WDC React platform for pixel-level satellite layer comparison; integrated WMS/ WFS services to render live imagery, watershed overlays, and geotagged field assets with sub-second tile loading
  • Built and maintained RESTful and streaming APIs using Node.js and FastAPI for large-scale retrieval, processing, and streaming of raster/ vector geospatial datasets including satellite imagery and watershed boundaries
  • Designed and implemented RBAC (role-based access control) supporting customised data views, analytics dashboards, and secure API access per user tier across national government platforms
  • Delivered 40% faster load times and 60% improved data accessibility through lazy loading, API response caching, CDN optimization via Akamai, and frontend rendering improvements
  • Worked with PostGIS and PostgreSQL for spatial queries, geospatial indexing, and efficient raster/ vector data retrieval at national scale
  • Collaborated in an agile cross-functional team with GIS specialists, backend engineers, and domain researchers to ship production releases on schedule

Frontend Developer

Crystalline Software Technologies

Dec 2023 - Oct 2024 Hyderabad
  • Built responsive, accessible UIs using Vue.js, React.js, and Tailwind CSS with focus on cross- browser performance and component reusability
  • Developed shared component libraries that reduced frontend development time by 30% and ensured design consistency across product lines
  • Strengthened REST API integrations and state management using Redux and Pinia, achieving 30% faster data processing and 35% improved UI rendering
  • Applied modern JavaScript (ES6+) best practices and rendering optimization techniques, resulting in 25% increased user engagement across key product flows

Projects

WDCPMKSY Dashboard

React.jsNext.jsTypeScriptNode.jsPostgreSQL/PostGISMapLibre GLGeoServerAWS
  • Full-stack geospatial dashboard with interactive India map, multi-filter activity/ state selection, and real-time geotag count aggregation across national watershed programme data
  • Implemented unlimited streaming NDJSON export via pg-cursor \u2014 server streams rows in 1000-row batches without memory overflow; frontend assembles Excel file client-side using SheetJS
  • Built activity panel with multi-variant grouping, live filter sync, and animated map transitions; activity types panel with contextual filtering by state and activity

WDC 2.0

React.jsNext.jsTypeScriptMapLibre GLNode.jsFastAPIPostgreSQL/PostGISGeoServerAWSAkamai CDN
  • Published shapefiles to GeoServer and built overlay rendering pipeline; implemented multi-layer swipe operation for real-time side-by-side satellite dataset comparison
  • Achieved 40% faster load times and 60% improved data accessibility through rendering optimisations, API caching, and Akamai CDN delivery
  • Features RBAC-secured dashboards, live GeoServer WMS/ WFS tile streaming, and PostGIS spatial queries at national scale

Nextgen

React.jsNext.jsMapLibre GLNode.jsGeoServer
  • Contributed to ISRO's next-generation national geospatial portal; owned frontend architecture and built interactive map rendering pipeline using MapLibre GL
  • Enabled smooth vector tile rendering and dynamic layer management for nationwide satellite datasets

Job Finder Web App

React.jsNode.jsFastAPIMongoDBTailwind CSSAWSGitHub Actions
  • Built JWT-based auth with refresh token rotation, paginated saved-jobs dashboard, and optimised MongoDB-indexed APIs; deployed on AWS with CI/ CD via GitHub Actions

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Performance and Accessibility Improvements

Delivered 40% performance gains and 60% improved data accessibility in live systems.

About Details

Professional Bio

Geospatial Full-Stack Engineer with 2+ years of production experience at ISRO-NRSC, building national-scale satellite data platforms. Expert in React.js, Next.js, TypeScript, MapLibre GL, Node.js, FastAPI, PostGIS, and GeoServer. Delivered 40% performance gains and 60% improved data accessibility.

B.Tech in Computer Science

Vidya Jyothi Institute of Technology (2020 - 2024)

Intermediate in N/A

NTR Junior College (2018 - 2020)

Languages: English, Hindi
Email: Locked