Hire the Best PostGIS Specialists
in Canada

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Caesar W.

Vancouver, Canada

$50/hr
5.0
26 jobs

❓ "Are you frustrated by hours lost updating maps, dashboards, or data pipelines manually—when automation could deliver real-time insights effortlessly?" 👉 That’s exactly what I deliver with 7+ years of expertise in GIS programming, automation, and AI. ⭐️ AI Automation & GIS Expert | Turning Data into Profitable Insights ⭐️ 7+ Years of Experience in IT & GIS, delivering high-impact geospatial solutions for top-tier organizations like IBM, Public Health initiatives, a leading investment bank, and a high-growth startup that scaled to $5M ARR within 2 years. ⭐️ Specialized in GIS Programming and Geospatial Data Analysis: Extensive expertise in map creation, geospatial data processing, time-series analysis, and predictive modeling to empower businesses with actionable insights and smarter decision-making. 🔧 Core Expertise: ✅ GIS Programming: GeoPandas, Shapefiles, mapping automation ✅ Geospatial Data Analysis: Insights from geospatial data ✅ Advanced Mapping Solutions: Crafting detailed & interactive maps ✅ Time-Series & Predictive Modeling: Leveraging GIS & data trends for future insights ✅ Data Integration: connecting GIS data with ArcGIS APIs & databases ✅ Big Data Handling: Processing, analyzing, visualizing large-scale spatial datasets ✅ ETL for Geospatial Data: Building ETL pipelines to extract, transform, and load spatial data ✅ Data Visualization: Creating maps, dashboards & reports using GIS & ArcGIS tools ✅ Automation: Streamlining workflows like map creation, data processing & spatial analysis 🌟 What I Offer: 🤖 GIS Programming & Automation: From GeoPandas scripting to integrating shapefiles, I optimize and automate GIS workflows to save time and resources. 🔗 API Integration for GIS: Seamlessly connect geospatial data with APIs and databases to build powerful, integrated solutions. 🌍 Custom Mapping Solutions: Whether creating high-quality maps, automating map production, or building geospatial tools, I deliver solutions tailored to your needs. 📊 Geospatial Analysis & Insights: Unlock the power of geospatial data to drive your business decisions. My expertise in spatial data analysis, time-series trends, and prediction ensures you’re ahead of the curve. 📑 Efficient Data Processing Pipelines: Automate data extraction, cleaning, and transformation for seamless geospatial analysis. 🌐 AWS & Cloud GIS Solutions: Scalable and secure GIS data storage, processing, and analysis solutions using AWS technologies. 🤝 Let’s Connect! If you're looking for a GIS expert to handle mapping, geospatial data analysis, or automate your GIS workflows, I’m here to help take your projects to the next level. Invite me to your project, and let’s create something amazing together!

  • PostGIS
  • JavaScript
  • SQL
  • Digital Mapping
  • Python
  • QGIS
  • ETL Pipeline
  • Data Mining
  • Geospatial Data
  • BigQuery
  • Mapbox
  • Data Analysis
  • Node.js
  • GIS
  • R
Vera G.

Calgary, Canada

$42/hr
5.0
12 jobs

With +25 years of experience in GIS, I help my clients unlock the power of GIS. My mission is to provide tailored GIS products and services designed specifically for you! I help clients build location-based systems that are both technically solid and visually intuitive. Now semi-retired, I take on select freelance projects where I can add real value or simply help someone out. As a native English speaker with 25+ years in GIS, I bring both clear communication and deep technical expertise. I work independently, ask the right questions early, and deliver work that’s QA’d, functional, and built to spec — because after 25 years in GIS, I know what actually works in the field. ✅ 25+ Years of Experience – Trusted GIS expertise across dozens of projects ✅ Vendor-neutral – ESRI Ecosystem or Open Source to best support your needs ✅ Quality You Can Trust – GIS workflows—done right the first time ✅ Exclusive Knowledge & Tools – Instant access to my extensive library of templates, styles, scripts, work instructions and more ✅ Business Continuity – Clear metadata, documentation and data stewardship I'm proud to say that I'm platform agnostic, equally adept with open-source tools as well as industry leaders like ArcGIS from ESRI. This flexibility ensures the GIS solutions I provide fit both the needs and the budget of my clients. My passion for breaking down barriers to geospatial data access and utilization is reflected in how I work with clients and the products I deliver. I'm here to empower you and your entire team, regardless of your level of expertise. Whether you need a single map or a comprehensive GIS strategy, my expertise is your competitive advantage. I take pride in delivering user-friendly, customized solutions that provide tangible support to your business. Let's put you on the Map!

  • PostGIS
  • GIS
  • GIS Software
  • QGIS
  • ArcGIS
  • ArcGIS Online
  • Google Maps
  • Cartography
  • PostgreSQL
  • Geographic Infographic
  • GeoJSON
  • GeoTIFF
  • Georeferencing
  • Geospatial Data
  • Spatial Analysis
Ali H.

Saskatoon, Canada

$50/hr
5.0
8 jobs

Hello! I am a versatile Full-Stack Developer with extensive experience in GIS and Machine Learning. My programming expertise spans across Python, C++, JavaScript, Node.js, Express.js, and PHP. I have a strong background in web and mobile frontend technologies, including React.js and React Native. In the realm of GIS, I am proficient with tools like ArcGIS, QGIS, ERDAS Imagine, and AutoCAD. I also have hands-on experience with GeoServer and MapServer for spatial data management and mapping applications. My machine learning skills are backed by familiarity with TensorFlow, PyTorch, and computer vision tools like OpenCV and YOLO. For database management, I am adept with MongoDB, MySQL, and PostgreSQL. Additionally, I excel in API development, particularly RESTful APIs, and have a solid foundation in data analysis using Pandas and NumPy. Communication, problem-solving, and teamwork are among my strongest soft skills, having led and participated in multiple group projects successfully. If you’re looking for a dedicated professional who can bring technical skills and a collaborative spirit to your project, let’s connect! SKILLS & ABILITIES • Programming Languages: Python, C++, JavaScript, Nodejs, Express js • Web/Mobile Frontend: React js, React Native, HTML, CSS • Machine Learning Frameworks: TensorFlow, PyTorch • Database Management: MongoDB, MySQL, PostgreSQL • Computer Vision: OpenCV, YOLO • GIS and Spatial Analysis: ArcGIS, QGIS, ERDAS Imagine, AutoCAD • Data Analysis: Pandas, NumPy • Communication: Clear verbal and written communication, collaboration, team dynamics • Problem-Solving: Analytical thinking, attention to detail, creative problem-solving • Collaboration and Teamwork: Leaded and worked in many groups for semester projects. Experience: - Full-Stack Development - GIS and Spatial Analysis - Machine Learning - Data Analysis - API Development - Frontend Development - Database Management - Computer Vision - Problem-Solving -Team Collaboration

  • PostGIS
  • C++
  • Python
  • JavaScript
  • Web Development
  • OpenCV
  • React
  • Node.js
  • GIS
  • Remote Sensing
  • Digital Mapping
  • Image Processing
  • Geospatial Data
  • Object Detection & Tracking
  • Spatial Analysis
Muhammad Sultan D.

Toronto, Canada

$60/hr
5.0
22 jobs

If you are a business owner, or someone with a brilliant idea, or secured a Large Scale project, If you are looking to turn complex geospatial data into practical, complete, custom built solutions, YOU ARE AT THE RIGHT PLACE. With a background in WebGIS development, remote sensing, data analysis, marketplace development and GeoAI, We design and deliver tools that make your spatial data work for you, not the other way around. Whether you need a complete GeoAI powered system or fully handled application/ product, or an interactive map app. What we do: -Bring idea to reality -Develop custom GIS web and mobile apps -Automate geospatial workflows in the cloud -Build smart spatial analytics using AI & machine learning -Handle remote sensing, image processing, and data extraction -Design and manage enterprise geodatabases -Create clear, interactive visualizations and 3D models Tools & Skills (included but not limited to): Web: React, Next.js, Angular, Node, Express Languages: Python, Java, C++, R Databases: PostgreSQL/PostGIS, MongoDB, Oracle, SQL Server GIS Software: ArcGIS Pro, QGIS, GRASS GIS, ERDAS Imagine, Google Earth Pro Mapping Libraries: Mapbox, Leaflet, OpenLayers, OSM Other: Data scraping, mining, visualization, AutoCAD, SolidWorks We're dependable, detail oriented, and easy to communicate with. We stick to deadlines, adapt to project changes, and always aim to deliver results that fit your exact needs, not off the shelf solutions. If you’re looking for someone who can handle the full cycle, from raw data to a working product, let’s have a detailed chat about your project and find the best approach to get it done right. Reach out anytime, We're ready to help you build what you need.

  • React
  • Node.js
  • JavaScript
  • MongoDB
  • PostgreSQL
  • Supabase
  • Angular
  • Mapbox
  • API
  • Python
  • SQL
  • GIS
  • Google Maps API
  • Geospatial Data
  • Leaflet
Ahmed S.

Toronto, Canada

$40/hr
4.9
25 jobs

Agentic AI Engineer who builds production-grade AI agents (voice + multi-agent) and deploys them as reliable cloud systems. If you need an AI Engineer who can take an agent from prototype → secure, observable, scalable deployment, integrate with legacy systems, and keep it stable in production, that’s what I do. 🧠 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐅𝐨𝐫 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐅𝐢𝐫𝐬𝐭) As an AI Engineer, I design agentic systems that don’t fall apart in real operations: • Tool-using AI agents with strict action boundaries (no hallucinated writes) • Structured outputs (schema validation) + deterministic business rules where needed • Built-in failure handling: retries, fallbacks, human handoff, and safe uncertainty handling 🗣️ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 (𝐓𝐞𝐥𝐞𝐩𝐡𝐨𝐧𝐲 + 𝐑𝐞𝐚𝐥𝐭𝐢𝐦𝐞) I’m an AI Engineer specializing in voice AI agents that can handle real calls end-to-end: • Telephony (Twilio-style) inbound/outbound calling, call events, recordings, streaming audio • Streaming pipelines (STT → reasoning → TTS) with low latency and natural turn-taking • “Barge-in” interruption handling, follow-up automation, and post-call summaries • Real outcomes: create/update CRM records, tickets, bookings, and workflows automatically 🔁 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 + 𝐓𝐨𝐨𝐥 𝐑𝐨𝐮𝐭𝐢𝐧𝐠) As an Agentic AI Engineer, I build multi-agent orchestration for complex workflows: • LangGraph-style stateful orchestration: router/supervisor agent + specialist worker agents • Safe tool routing with permissions, validation, and deterministic control points • Long-running workflows with checkpoints, retries, and step-level observability • Common builds: support triage, scheduling, sales qualification, onboarding, document intake ☁️ 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 (𝐀𝐖𝐒 + 𝐏𝐫𝐨𝐝 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲) This is where most “AI agent demos” fail — I build production systems: • Cloud deployment on AWS (serverless or container-based) with clean environments and CI/CD • Queues, async workers, scheduled jobs, retries, rate limits, and dead-letter handling • Secure API gateways, auth patterns, secret management, and audit logs • Monitoring/observability: logs, metrics, traces, alerting, and runbooks 🔌 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐫 𝐋𝐞𝐠𝐚𝐜𝐲 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐓𝐡𝐞 𝐑𝐞𝐚𝐥 𝐖𝐨𝐫𝐥𝐝) Most companies have legacy CRMs, messy data, and brittle APIs, I integrate anyway: • Middleware (FastAPI services), webhooks, adapters, and integration layers • Idempotent writes + data validation so agents don’t corrupt systems • Safe, explainable actions so your ops team can trust the automation 🧰 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 • Agentic AI: GPT-4-class models, LangGraph-style orchestration, tool calling, structured outputs • Voice AI: telephony integration, streaming audio, STT/TTS pipelines, call summarization • Cloud: AWS Lambda/containers, queues, event-driven workflows, secure gateways, monitoring • Backend: Python, FastAPI, Postgres, Redis, Webhooks, REST APIs ✅ 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 (𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬) 1. Define workflow + success metrics + failure modes 2. Design agent architecture (single vs multi-agent, tools, permissions, state) 3. Implement voice + tool routing + integrations 4. Harden for production (tests, guardrails, retries, observability) 5. Deploy to the cloud and iterate with real traffic safely 📬 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 (𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞) Send me: • Channel: phone/web voice/app • Systems: CRM/helpdesk/DB/internal APIs • Top 1–2 workflows to automate I’ll respond with a production architecture and a scoped first milestone that delivers measurable impact.

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Large Language Model
  • Generative AI
  • AI Agent Development
  • Automation
  • ML Automation
  • AI Development
  • AI Model Integration
  • Prompt Engineering
  • OpenAI API
  • Amazon Bedrock
  • Artificial Intelligence
  • Python
Jonathan D.

Riviere-du-Loup, Canada

$85/hr
4.7
59 jobs

I've spent 25+ years building custom production systems, over $500K worth and more than 20 of those in .NET, and these days I'm focused on AI. I build LLM and RAG pipelines, AI agents, and document-intelligence workflows in Python and .NET, usually for businesses whose operations are too unique for off-the-shelf software to fit. The messy, niche, one-off projects most people won't touch are the ones I enjoy most. I automate the manual work that's eating your time and only bring in AI where it genuinely adds value. Hire me when you need something actually built, not just wired together out of existing tools. When the requirements are one of a kind and the domain is a real tangle, I work out the architecture, learn whatever the problem needs, and ship a production system from scratch. That's a big part of why clients stick with me: one for 13 years, another for 4, and a lot of them started with a single project and just kept coming back. "I have yet to give him a hurdle he can't clear." — Scot Nichols, Automotive Diag (2-year client) WHY BUSINESSES CHOOSE ME I don't just build what's on the ticket. I want the actual problem first. Before I write any code I dig into how your business runs: does AI really help here, or would something simpler be more reliable? How will it scale? What will the ongoing model and compute costs look like? Good software, AI or not, has to fit how your business actually works, not whatever's trendy this quarter. I spot the issues you might not see yet — runaway LLM costs, latency under load, multi-user concurrency, awkward integrations — and head them off before they get expensive. I've also helped clients set subscription pricing and cut cloud bills. And I build to last: Clean Architecture, real test coverage, monitoring, and documentation. WHAT SETS ME APART I work across the whole AI and software stack and more than one ecosystem: • AI & LLM engineering — OpenAI, Azure OpenAI, Anthropic/Claude APIs, RAG pipelines (vector + BM25 hybrid, reranking), pgvector, prompt engineering, model selection and benchmarking • AI agents & automation — Microsoft Foundry (Agent Service, Agent Framework), multi-agent orchestration, custom tools via Azure Functions / OpenAPI / Logic Apps / MCP, knowledge-grounded agents over SharePoint / OneLake / Blob, human-in-the-loop approval gates, A2A federation — published into Microsoft Teams and 365 Copilot • Document intelligence — Azure Document Intelligence (prebuilt + custom neural/template models for invoices, receipts, IDs, contracts), Azure AI Search knowledge mining, confidence-scored extraction with human-review routing, PII detection/redaction • Enterprise .NET — ASP.NET Core, Entity Framework, WPF, Clean Architecture • Python data engineering — FastAPI, pandas, Apache Airflow, async processing • Multi-cloud & real-time — Azure, GCP, AWS with Terraform; file monitoring, API integrations, automated workflows When I do use AI, I back it with real numbers, not guesswork — recall@k, MRR, and LLM-as-judge scoring for faithfulness and relevance. For agents that means real guardrails: per-agent identity and RBAC (Microsoft Entra ID), least-privilege tool access, prompt-injection mitigation, approval gates on anything business-critical, and monitoring of citation rates, retrieval accuracy, and token cost. If a plain, non-AI solution is more reliable or cheaper, I'll tell you up front. PORTFOLIO HIGHLIGHTS RAG Pipeline (Security Compliance) — End-to-end RAG over NIST security publications (SP 800-53 Rev 5 + AI RMF). Hybrid retrieval (vector + BM25) with a cross-encoder reranker, measured on a hand-labeled 95-question eval set: recall@5 0.63 → 0.83, MRR 0.48 → 0.64, holding at 10,000-chunk scale. Inline citations, grounded "I don't know", prompt-injection guardrails. Tech: Python, FastAPI, Azure Container Apps, Azure OpenAI, pgvector, Langfuse, CI/CD Automotive Documentation Platform — Multi-tenant system that automated a fully manual Google Sheets process. Syncs PDFs/images from field devices, organizes jobs, generates branded reports, and reconciles with QuickBooks invoices, eliminating missed billing. Built as a multi-tenant Azure SaaS. Tech: ASP.NET Core, Azure, QuickBooks API, OCR / PDF extraction Climate Data Integration Pipeline — One-off platform integrating 120+ government data sources, with scheduling, error handling, and monitoring. No template ETL tool could handle the source variation. Tech: Python, GCP, Apache Airflow, PostGIS Real-Time File Monitoring System — Event-driven Azure platform processing 100,000+ files. Self-healing recovery, parallel processing, sub-second latency. Tech: .NET 9, Azure Cosmos DB, Docker, Azure Functions LET'S TALK Top Rated Plus | 100% Job Success Score | $500K+ Delivered | 10+ Years on Upwork Send me your project details and I'll usually get back within a day, with real questions and a first take on how I'd approach it.

  • Solution Architecture
  • REST API
  • AI Development
  • Database Design
  • Entity Framework
  • Clean Architecture
  • C#
  • .NET Core
  • ASP.NET Core
  • Azure App Service
  • Microsoft SQL Server
  • Azure Cosmos DB
  • Blazor
  • JavaScript
  • Windows App Development

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