Hello, I'm

Shaharyar Babar

Full-Stack Software Engineer

8+ years building software

Full-stack software engineer with a background in Space Science, GIS, and Remote Sensing. I build scalable web applications with React, Next.js, Vue, Python, and PostgreSQL, currently at Gneffin working across logistics, e-commerce, AI tools, and internal platforms.

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Profile

About

I started in Space Science—studying celestial mechanics and quantum systems—before specializing in GIS and Remote Sensing. That foundation shapes how I approach software: data-driven, spatially aware, and built to scale.

For the past 8+ years, I've worked across the full stack. At TPL Maps, I led the data development team and built QGIS plugins that reduced digitization time by 70% and improved issue resolution speed by 73%. At Gneffin, I build platforms for seller operations, logistics quoting, lead tracking, finance operations, and AI-powered content processing.

I'm most interested in problems that combine geospatial data, automation, and practical engineering.

Capabilities

Tech Stack

Technologies I work with daily to build scalable, performant applications.

Frontend

HTML CSS JavaScript TypeScript React Next.js Vue Astro TailwindCSS

Backend

Node.js Python Django Fastify Flask RESTful APIs WebSockets

Database & Storage

PostgreSQL PostGIS MongoDB Redis S3 ElasticSearch Spatial Analysis

Cloud & DevOps

AWS Vercel Digital Ocean Cloudflare Nginx Git

Mapping & GIS

QGIS ArcGIS Leaflet Mapbox Google Maps API

AI & Machine Learning

OpenAI API Gemini API AI Agents LLM Integration RAG Systems Langchain

Services & Auth

Stripe Clerk Supabase Firebase Resend
Selected Work

Projects

Selected work showcasing full-stack development, GIS solutions, and AI integrations.

Compoose screenshot Case Study

Compoose

Advanced writing application with AI integration, real-time collaboration, project management, and comprehensive export capabilities, demonstrating modern full-stack development practices.

Next.js 15 TipTap Yjs Hocuspocus +8
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Black History 360 Maps screenshot In Progress Case Study

Black History 360 Maps

An interactive historical mapping platform built with Next.js and Google Maps API that documents critical moments in American history, featuring searchable location-based data with rich historical context and responsive design for educational exploration.

Next.js 15 Tailwind CSS Google Maps API Supabase +2
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PLR Data Collection App screenshot Case Study

PLR Data Collection App

A React Native mobile app for geological field data collection featuring GPS location tracking, multimedia capture (photos/drawings/audio), offline SQLite storage, and customizable observation types for resource exploration projects.

Expo SQLite GPS API
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Work Log

Experience

My professional journey across software development and geospatial engineering.

Software Engineer

Gneffin

Aug 2021 - Present

Full-stack software engineer building seller operations, logistics, AI content, ad tracking, and finance operations platforms.

  • MarketPlusAI: Seller operations platform using Vue.js and Django with order visibility, inventory monitoring, low-stock alerts, sales analytics, product advertising, and customizable reward campaigns
  • Logistiic: Next.js logistics platform for China/Taiwan sellers with multi-carrier quotations, product workflows, tracking, and Stripe payments; reduced turnaround from 2–3 days to near real time
  • Compoose: AI-powered editor using Next.js, Tiptap, and MongoDB with real-time collaboration, contextual AI chat, and PDF/DOCX/HTML import-export
  • AI Media Pipeline: End-to-end YouTube processing for subtitles, translation, and keyword extraction to build multilingual learning materials
  • Ad Tracking Platform: Next.js and PostgreSQL platform for lead generation, conversion stages, sales, revenue, and commissions visibility
  • Finance Operations Platform: Next.js platform for transactions, loans, expenses, and revenue with AI receipt import and data extraction

Geospatial Engineer

Magma Systems

Jul 2020 - Nov 2020

Built automation tools for geospatial data processing and quality validation.

  • QGIS Digitization Plugin: Semi-automated digitization of U.S. zoning maps using computer vision; reduced time by 70%
  • QA/QC Pipeline: Automated spatial data validation with error detection to reduce manual review

GIS Analyst

TPL Maps

Oct 2017 - Nov 2019

Led the data development team and built tools that improved spatial data workflows and operational efficiency.

  • Team Leadership: Led the data development team while optimizing spatial data production workflows and operational efficiency
  • Error Tracking System: QGIS plugin for issue tracking and assignment; reduced data quality issues and improved resolution speed by 73%
  • Audit System: Python desktop app for monitoring and validating spatial data changes
  • Street Vision Platform: QGIS plugin with GPS, video analysis, and ML-assisted feature suggestions; increased digitization efficiency by 60%
  • Internal Ops Portal: Django app for inventory management and team performance tracking
  • Plugin/Deployment Management: Managed internal QGIS plugin repositories and deployment of web apps and REST APIs
Academic Record

Education

Master's, GIS and Remote Sensing

National University of Sciences and Technology (NUST)

Aug 2020

Advanced coursework in Hydrology, WebGIS, Advanced Remote Sensing, GIS, and Urban Development. Specialized in spatial data analysis and geospatial modeling applications.

Bachelor's Degree in Space Science

Institute of Space Technology (IST)

Aug 2017

Comprehensive curriculum including Astronomy, Astrophysics, Databases, Introduction to Programming, Space Law, Quantum Mechanics, and Space System Project Management. Built strong foundation in physics, mathematics, and computational methods.

Contact

Get In Touch

Open to full-time roles, freelance projects, and technical consulting across full-stack web apps, logistics, e-commerce, geospatial systems, and AI-enabled workflows.

Ready to start a project?

Send me a message and I'll get back to you within 24 hours.