More than 12 Years of experience in Analysis, Market Research for Commodities Trading. Extensive experience in Python for Data Processing, Organizing, and Storing. - Statistical Analysis for Commodities Trading. - Wanting to move deeper into AlgoTrading/Quantamental Tradings. - Expertise with data API, Data ETL, data Engineering - 4 Years working at Bloomberg LP in the Global Data Department. - Experience in AlgoTrading with Trading View and EasyLanguage - Experience in developing Statistical Models for Futures Markets Trading (Commodities). - More focus on Agriculture, Grains and Oilseeds. Extensive experience in Meteorology Data/specific datasets

I build production-ready geospatial systems that transform location data into actionable intelligence. Over 5 years, I've delivered mapping platforms for government census operations, satellite analysis tools processing 100+ sq km areas, and mobile GIS apps supporting 10k+ field force in remote locations—with zero data loss. _________________________________________________________________________ ⏰ Available US Business Hours (9 AM - 2 PM EST) for real-time collaboration. _________________________________________________________________________ WHAT I DELIVER: 🗺️ Custom Web Mapping Applications – Interactive maps with GPS tracking, route optimization, and location services using Leaflet.js, Mapbox, and OpenStreetMap 📊 GIS Dashboards & Spatial Analytics – Live visualization with heat mapping, geofencing, and business intelligence for 50+ concurrent users 🛢️ High-Performance Spatial Databases – PostGIS/PostgreSQL handling 10M+ records with sub-second queries (93% performance improvement achieved) 🌍 Satellite Imagery & Land Classification – Google Earth Engine workflows for vegetation monitoring, urban growth analysis, and automated land cover classification 📱 Mobile GIS & Offline Collection – Android apps with offline-first architecture, GPS tracking, and zero data loss for remote field operations 📍 Location Intelligence Solutions – Geofencing, proximity search, route planning, and geocoding API integration _________________________________________________________________________ RECENT CLIENT SUCCESS: ✅ National Statistics Organization (Pakistan) – Census monitoring with GPS tracking for 1,000+ field workers, 60% faster coordination ✅ Waterfall Routes (Ghana) – Complete geospatial platform with interactive mapping and route visualization, 40% efficiency gain ✅ Urban Growth Analysis – Sentinel-2 satellite analysis quantifying 15% urban expansion in Islamabad (2019-2024) ✅ Enterprise Database – PostGIS optimization: 10M+ records, query time reduced from 15s to <1s ✅ Offline Mobile GIS – Android field app eliminating data loss for 100+ teams in areas without connectivity _________________________________________________________________________ CORE TECHNICAL EXPERTISE: GIS & Spatial: PostGIS, QGIS, GeoServer, Leaflet.js, Mapbox, OpenStreetMap, Google Earth Engine, Turf.js, Geopandas, Google Earth Engine, Cesium JS Web Development: React.js, Node.js, Express.js, JavaScript ES6+, Bootstrap, RESTful APIs, WebSocket, JWT authentication Database: PostgreSQL, PostGIS optimization, spatial indexing, MS SQL Server Spatial, SQLite Mobile: Android (Java), OSMDroid, GPS services, offline-first architecture, background sync Data Analysis: Python, Google Earth Engine API, scikit-learn, Random Forest, NDVI/NDBI/MNDWI indices _________________________________________________________________________ WHY CLIENTS CHOOSE ME: 🎯 Rare Expertise – I bridge GIS specialists and web developers, delivering complete solutions without coordination overhead ⚡ Performance-Focused – Optimized spatial queries, indexed databases, and fast-loading interfaces 🔒 Production-Ready – Enterprise architecture with security, role-based access, and comprehensive error handling 📱 End-to-End Delivery – Database to front-end with thorough documentation 💬 Clear Communication – Regular updates, detailed docs, and responsive collaboration 🌍 Proven Track Record – Government agencies, international NGOs, and enterprises trust me with mission-critical systems ⏰ Reliable & On-Time – Consistent delivery with high-quality standards _________________________________________________________________________ IDEAL PROJECTS: I'm best suited for: - Custom web mapping with complex geospatial logic - High-performance spatial databases (millions of records) - Satellite imagery analysis and land classification - Mobile field collection with offline capabilities - Real-time location tracking and geofencing - GIS dashboards with live data visualization - Geospatial integration into existing applications _________________________________________________________________________ LET'S DISCUSS YOUR PROJECT: Whether you need a complete geospatial platform or optimization of existing systems, I deliver solutions that turn location data into competitive advantage. Send me a message with your requirements, timeline, and any GIS technologies you're using. I respond within 2-4 hours during US business hours. Ready to build something exceptional? Let's talk.

Hi! I’m a Full Stack Web Developer with 7+ years of experience building scalable web applications, automating workflows, and integrating complex APIs. I specialize in PHP (Laravel, CodeIgniter), JavaScript frameworks like React & Angular, and backend technologies like Python (Flask, FastAPI) and Java Spring Boot. 💡 Whether you need: • A custom web app or dashboard • Bug fixes or feature development in Laravel, Flask, or React • Geospatial solutions using GeoServer, OpenLayers, or PostGIS • API integrations with Stripe, REST, or third-party systems • Desktop apps in Java or .NET • Or help with mobile apps using Android + Firebase I’ve got you covered! 🔍 Why Work With Me? • Proven experience across startups and enterprise projects • Excellent communicator — clear updates, no surprises • Quality-first mindset: clean, tested, and maintainable code • Quick turnaround and flexible with timezone needs 🧰 Tech Stack: • Frontend: HTML, CSS, JS, Angular, React • Backend: PHP (Laravel, CodeIgniter, Laminas), Python (Flask, FastAPI), Java Spring Boot, ASP.NET • Database: MySQL, MSSQL, PostgreSQL, PostGIS • Geo Tech: GeoServer, OpenLayers, Leaflet, KeplerGL • Others: Android, Firebase, Stripe, REST APIs, Git Let’s build something great together — message me and tell me what you’re working on.

Full Stack GIS Developer | GeoAI Expert | Remote Sensing & GIS Specialist Provide consultancy and development services related to GIS based decision support systems, establishment of enterprise level GIS systems, GeoAI projects. 🌐 GIS Servers: • Worked with open source GIS servers to leverage OGC (Open Geospatial Consortium) standards (WMS, WFS, WFST and WPS) like GeoServer and MapServer. • Worked with other GIS servers which are not OGC complaint but serves specific GIS capabilities, i.e., MapProxy, KoopJS etc. • Worked with ESRI's ArcGIS Server and ArcGIS Online. 🌐 ESRI Development Expertise: • Have expertise in ArcGIS for Desktop and ArcGIS Pro Addin development using .NET ArcObjects and ArcGIS Pro SDK respectively and have developed geoprocessing tools using ArcPy. • Have expertise in setting up ArcGIS Enterprise and configuring license. • Have been automating ArcGIS Online hosted data using Python for ArcGIS. 🌐 Google Earth Engine (GEE) and Sentinel Hub Expert: • Have done complex analysis in Google Earth Engine (GEE) and Sentinel Hub. • Also have experience of apps development using Earth Engine Apps. 🌐 Cloud Expertise: • Extensively worked on Amazon cloud (AWS). • Have used AWS EC2, AWS S3, AWS RDS, AWS Iot Core, AWS Route 53, AWS Elastic Beanstalk etc. • Worked Azure and Google cloud as well but very little as compared to Amazon (AWS). 🌐 Backend Expertise: - Python: • Developed several projects using Flask and Django (GeoDjango and Django rest framework). I use to decide which framework to use based on requirements, i.e., for small APIs only I prefer Flask otherwise Django Rest and Obviously for GIS related stuff GeoDjango. • Experience of writing scripts for GIS data scrapping from different sources. • Pre-processing the data from scrapping and then add into database. - DotNET (C#): • Worked on both window specific dotnet framework and cross-plateform dotnet core. • Have experience of working on an enterprise level application which 32+ projects plus couple of microservices as well. • Worked on a highly secure application as one of the consultant was a banking application developer which led us to secure request and responses. So I have indepth knowledge of making APIs secure using cryptographic techniques. • Worked on implementation of OpenID Connect and OAuth 2.0 using Microsoft Identity framework. - NodeJS: • Worked on Fastify, ExpressJS and NestJS frameworks. • Got a chance to work on realtime updates of data from Iot devices through AWS IoT Core (via MQTT protocol) which I add in Postgres database. I worked on MQTT, WebSockets and Http protocols. - PHP: • Started my career initially with PHP and worked on several government level projects with frameworks such as Slim, Laravel and Lumen. 🌐 Database Management System (DBMS): - PostgreSQL: • Extensively worked on PostgreSQL with spatial extensions like PostGIS, pgRouting etc for creating geodatabase. • Done several GIS analysis using only PostGIS and pgRouting e.g., Overlay analysis, building side length detection on each four sides (North, South, East, West), developed a routing engine using pgRouting, distance matrix calculation and many more. • Carry good experience in database and query optimizations both for non-spatial and spatial databases. • Worked on both cloud based PostgreSQL and On-Premises database installations. - MySQL: • Worked with MySQL and its spatial capabilities to work with geodatabase. • Found PostgreSQL to be more robust than this but in some cases already developed applications I have to work with MySQL as well many time. SQLite: • Worked with sqlite and sqlite spatial depends on project requirements. • Worked on specific formats of sqlite spatial, i.e., geopackage. - ESRI Geodatabases: • Worked in ESRI proprietary environment. i.e., with all types of ESRI geodatabases (File geodatabases, Mobile geodatabases and Enterprise geodatabases). 🌐 Frontend Expertise: - JavaScript frameworks: • Developed several projects using React JS and then because of security reasons I shifted to Next JS. Though I have worked with Angular 10 as well but not stick to it. But I can work using React JS, Next JS and Angular. - GIS Mapping: • Worked on different libraries for mapping like Openlayers, Leaflet JS, Mapbox GL JS, Maplibre GL, ArcGIS 3D JavaScript, Google Maps API, Cesium, Kepler GL, Turf JS and many other based on requirements. 🌐 Deployment & Server Management: - Servers: • Worked on both Window and Linux (Ubuntu and Centos) servers. - Web Servers: • Worked with IIS, Apache, Tomcat and Nginx. • Deployed applications on servers (mostly develop a pipeline for automatic deployment from github). 🌐Education: • MPhil in Remote Sensing (RS) and Geographic Information Systems (GIS). • BS Hons. in Space Science.

Need accurate maps, spatial analysis, or GIS dashboards that actually help you make decisions? I turn complex geospatial data into clear, actionable insights for researchers, businesses, and planners. I specialize in solving real-world spatial problems — from flood risk mapping to land use analysis and interactive GIS dashboards. 🔹 What I can help you with: GIS Mapping & Cartography (QGIS, ArcGIS Pro) Remote Sensing & LULC Classification (Google Earth Engine) Flood Risk & Environmental Analysis Web GIS & Dashboards (React, Leaflet, Mapbox) Spatial Data Processing (Python, GeoPandas) 🔹 Proven Work: Flood Risk Assessment (Shimshal Valley) LULC Mapping Application (Google Earth Engine) 3D Sea Level Rise Analysis (Miami Beach) Custom Cartographic Map Design Projects 🔹 Why clients choose me: ✔ Accurate and decision-ready outputs ✔ Clean, professional map design ✔ Fast turnaround & clear communication ✔ Strong problem-solving approach

Hi 👋 I'm a seasoned Python engineer with 6+ years of commercial experience and a degree in software engineering. I specialize in building scalable and high-performance applications, working with complex business logic. I'm looking for exciting projects within a collaborative and skilled team environment. My expertise includes: ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Django, Flask, FastAPI, Tornado ✅ 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Django Rest Framework (DRF), REST APIs, WebSockets ✅ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MongoDB, PostGIS (GIS integration) ✅ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬: AWS (Lambda, S3, EC2), Docker, Kubernetes, CI/CD Pipelines ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 & 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Celery, Redis, RabbitMQ ✅ 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Unit tests, Performance tuning, Sentry monitoring Recent Projects: 🚀 𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐆𝐫𝐨𝐰𝐭𝐡 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python 3, Tornado, FastAPI, PostgreSQL, MongoDB, Docker, Kubernetes, Celery, Redis, WebSockets, CI/CD 𝐑𝐨𝐥𝐞: Backend Developer 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: Developed a platform that boosts online businesses across social media, marketplaces, and websites. Focused on real-time data processing and API integrations. 🏥𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python 3, DRF, PostgreSQL, Docker, Kubernetes, Celery, Redis, WebSockets, Scrum 𝐑𝐨𝐥𝐞: Senior Backend Developer 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: Built a system for scheduling and conducting video/audio/chat therapy sessions with psychologists. 🚛 𝐅𝐥𝐞𝐞𝐭 & 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python 3, Django, DRF, GDAL, PostGIS, PostgreSQL, Docker, Kubernetes, BitBucket, Sentry 𝐑𝐨𝐥𝐞: Backend Developer 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: Created a platform to optimize logistics for fleet businesses, providing geospatial data processing and real-time tracking features. 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? 💡 Strong problem-solving mindset & attention to detail 💡 Proven track record of delivering robust, scalable solutions 💡 Dedicated to clear communication & on-time delivery Looking forward to collaborating on 𝐀𝐈, 𝐒𝐚𝐚𝐒, 𝐚𝐧𝐝 𝐛𝐚𝐜𝐤𝐞𝐧𝐝-𝐟𝐨𝐜𝐮𝐬𝐞𝐝 projects! Let’s build something amazing together. 🚀

I build production AI applications—from MVPs to enterprise platforms—for startups and Fortune 500 teams. I help startups and enterprise teams design and ship AI-powered SaaS products using AWS, React, Next.js, React Native, PostgreSQL, and modern LLM platforms including OpenAI, Anthropic, Gemini, and Amazon Bedrock. Former AWS Professional Services engineer delivering solutions for Fortune 500 organizations. Today I help founders build secure, scalable AI products from MVP through production. Specialties include: • Agentic AI systems • RAG & knowledge retrieval • AI workflow automation • Full-stack SaaS • AWS cloud architecture • React / Next.js / React Native • API integrations • DevOps & Kubernetes

EXPERT-VETTED | Top 1% Professional Summary I am a results-driven Data Scientist and Engineer with over 10 years of experience providing machine learning, data engineering, and generative AI solutions. I focus on building scalable data pipelines, deploying ML models, and developing automation systems that turn complex business challenges into actionable insights. I am currently pursuing a Master's in Data Science at Harvard University (ALM, Expected 2026) and hold a MicroMasters in Statistics and Data Science from MITx. I have a strong technical background and a proven record of completing 100% of my projects on Upwork, consistently delivering high-quality solutions on tight schedules. Core Specializations Machine Learning & AI - Deep Learning: TensorFlow, PyTorch, Graph Neural Networks (GNNs), Computer Vision - Generative AI: Large Language Models (LLMs), RAG pipelines, Stable Diffusion, GPT integration - MLOps: MLflow, Vertex AI, model deployment to batch and real-time endpoints - Advanced Techniques: Reinforcement Learning, Ensemble Modeling, Predictive Analytics Data Engineering & Architecture - Pipeline Development: ETL/ELT pipelines, Apache Airflow, Apache Spark (Scala & PySpark) - Cloud Platforms: Google Cloud (DataProc, BigQuery, Vertex AI), Oracle Cloud, Databricks - Data Storage: Delta Lake, NoSQL, BigQuery, Oracle Database - Streaming Analytics: Real-time data processing, Pub/Sub, IoT integration Automation & Integration - Workflow Automation: Make.com expert, FastAPI development - MCP (Model Context Protocol): Fast MCP implementation and optimization - API Development: RESTful APIs, e-commerce integrations, FastAPI microservices - CI/CD: Automated deployment pipelines, DevOps best practices Data Science & Analytics - Statistical Analysis: Hypothesis testing, ANOVA, time-series forecasting (statsmodels) - Clustering: K-means, K-medoids, Expectation Maximization - NLP: Sentiment analysis, OpenAI TTS/GPT, HuggingFace transformers, NLTK - Feature Engineering: Data preparation, augmentation, dimensionality reduction Visualization & BI - Tools: Tableau, Looker Studio (Google Data Studio), custom dashboards - Reporting: Interactive visualizations, executive dashboards, data storytelling Technical Stack - Languages: Python, SQL, PL/SQL, Scala, Bash - ML/DL Frameworks: TensorFlow, PyTorch, PyTorch Geometric, scikit-learn, BigQueryML, SparkML - Data Tools: Pandas, NumPy, Jupyter, Colab - Cloud & Infrastructure: Google Cloud Platform, Oracle Autonomous, Databricks, Vertex AI - Databases: BigQuery, Oracle, NoSQL, Delta Lake - Automation: Make.com, FastAPI, Fast MCP, Apache Airflow, n8n - Version Control: Git, CI/CD pipelines - Specialized: QGIS (remote sensing), Neo4j (graph databases), TensorFlow Lite (edge devices) Recent Project Highlights Reinforcement Learning for Quantitative Finance (2025) I developed statistical arbitrage and momentum strategies using reinforcement learning to create market-agnostic portfolios. I optimized Sharpe and Calmar ratios through advanced asset allocation techniques. Spatio-Temporal ML for Remote Sensing (2025) I built generative models in PyTorch to predict landscape changes using Landsat 7/8 satellite imagery over Hennepin County, MN. I leveraged QGIS for geospatial analysis. Deep Learning for Drug Discovery (2024) I created generative models using Graph Neural Networks and PyTorch Geometric for drug interaction modeling and discovery applications. Real-Time Retail Analytics (2024) I deployed a streaming analytics pipeline with market basket analysis for inventory optimization and purchasing pattern insights. Computer Vision for Edge Devices (2024) I prototyped and optimized TensorFlow Lite models for Raspberry Pi 5. This work achieved efficient low-power inference for wearable applications. Enterprise Data Engineering (2022-2023) I designed and deployed cloud-native ETL pipelines on GCP, which improved operational efficiency through scalable data architectures. Certifications - Neo4j Data Science Certification (2025) - Databricks Generative AI Fundamentals (2025) - Google Cloud Vector Search and Embeddings (2024) - Deep Learning AI TensorFlow Developer Professional - Architecting with Compute Engine (Google Cloud Platform) Education Master of Liberal Arts (ALM) in Data Science | Harvard University | Expected 2026 MicroMasters in Statistics and Data Science | MITx | 2023 Bachelor of Science in Healthcare Management | Bellevue University What Sets Me Apart - Proven Track Record: 100% project completion rate with over 10 years of industry experience - Cutting-Edge Expertise: Up-to-date with the latest ML/AI trends, from transformers to graph neural networks - End-to-End Solutions: From data engineering to model deployment and business intelligence - Academic Rigor: Harvard and MIT Data Science

I help businesses eliminate 40–80% of manual operational work by designing and building AI-powered automation systems, scalable SaaS platforms, and intelligent data pipelines. With over 12 years of experience in enterprise software engineering, I specialize in solving complex operational bottlenecks; not just writing code. I bridge the gap between business needs and technical execution, building systems that scale, integrate seamlessly with your existing stack, and significantly reduce human-labor costs. What I Build ✅ AI Workflow Automation ㅤ• AI Agents: Autonomous systems for complex business processes. ㅤ• Workflow Orchestration: Expert-level implementation of n8n & Make. ㅤ• Intelligent Integration: Connecting AI models directly into your CRM, ERP, and SaaS ecosystems. ✅ Intelligent Document Processing (OCR & AI) ㅤ• Automated Pipelines: End-to-end extraction from invoices, PDFs, and unstructured data. ㅤ• Classification & Validation: Using AI to transform messy data into structured, actionable business intelligence. ✅ Enterprise SaaS & Custom Systems ㅤ• Scalable Architecture: Multi-tenant SaaS platforms and API-first backends. ㅤ• Business Tools: Custom CRM, ERP, and management platforms designed to replace legacy inefficiencies. ✅ Technical Stack & Expertise ㅤ• Backend & Cloud: .NET / ASP.NET Core, Python, FastAPI. ㅤ• Data Architecture: PostgreSQL, SQL Server, MySQL, MongoDB. ㅤ• API Ecosystems: REST & GraphQL development. Why Clients Hire Me Proven Impact: I focus on reducing manual workload by 40–80% and increasing operational efficiency. Architectural Thinking: I don't just build features; I design scalable systems that grow with your company. Enterprise Reliability: 12+ years of experience delivering robust, secure, and maintainable software for startups and large enterprises alike. Clear Communication: You get a partner who translates complex technical challenges into plain-language business solutions. Let’s Scale Your Business Whether you are looking to automate a repetitive department workflow, modernize a legacy system, or build a new SaaS product from the ground up, I have the architectural expertise to deliver. If you’re ready to replace manual effort with intelligent, automated systems, click "Invite" to discuss your project requirements.

I am a highly skilled GIS and Remote Sensing Specialist with over 7 years of experience in geospatial analysis, Python programming, and technical reporting. With a strong academic foundation in hydrology and a professional background in geotechnical engineering, I bring a unique multidisciplinary perspective to solving spatial and environmental challenges. My expertise includes: Developing custom GIS applications using Python and ArcGIS Developer. Conducting advanced spatial analysis, 3D mapping, and geospatial data visualization. Preparing ISO-compliant quality management documentation (ISO 17025, ISO 19157). Risk assessment for natural hazards (earthquakes, tides, and hurricanes). Technical reporting and project management for large-scale geotechnical and GIS projects. Notable projects include developing response time models for firefighting in critical areas at NEOM and designing a quality manual for geospatial data standards. I am passionate about leveraging geospatial technologies to provide innovative, data-driven solutions tailored to your project needs. Let’s collaborate to transform your geospatial challenges into actionable insights!