Hire the Top 2% of
Remote ArcGIS Pro Developers

Talha S.

Vetted ArcGIS Pro developer in Sweden (UTC+1)

I am a senior Software Engineer who loves architecting software and programming at a low level. In my career, I have worked with many different technologies in a variety of domains which helped broaden my perspective and build my problem-solving skills. I believe my greatest strength is being proactive and taking initiative. People tend to find me energizing and fun to work with (maybe because I felt lucky to work with such amazing colleagues). And I place great value in teamwork and thrive in environments where team effort is cherished.

Joel B.

Vetted ArcGIS Pro developer in Mexico (UTC-6)

With over 8 years in software engineering, I’m currently a Technical Lead at Paystand, working with tech like Nest.js, Node.js, Angular, React, TypeScript, Elixir, AWS Lambdas, PostgreSQL, RXJS, and Jest among others. I lead teams, coordinate on key projects, and drive feature development, always aiming for solutions that balance innovation with reliability. I thrive in fast-paced environments and enjoy tackling complex problems with precision and agility.

Helena W.

Vetted ArcGIS Pro developer in the United States (UTC-4)

I am an ex-Coinbase data analyst and growth marketing manager with deep experience building growth loops and models for both startups and public companies based on product/customer data. I also have led growth marketing at Teal and Examine.com and have grown revenue by debugging AARRR funnels, bridging both technical and qualitative aspects of marketing analytics and strategy. The startup world has always been a fun and exciting stage for me, and I hope to find ambitious founders to consult for and help them overcome their product and marketing blockers to reach the next stage of profitable growth. With expertise in SQL, JavaScript, Python, and more, and comfort setting up Meta pixels and conversion API, I act as a single expert deploying code, analyzing funnels, and building data reports and post-mortems for marketing campaigns.

Matthew B.

Vetted ArcGIS Pro developer in the United States (UTC-7)

I hold a Master's in Geographic Information Science and Technology, with experience in geospatial analytics, data-driven solutions, web application development, and data processing pipelines. My expertise includes GIS technology, data analysis, and database management.

Alexander D.

ArcGIS Pro developer in the United States (UTC-5)

I have extensive experience in software engineering, cybersecurity, and embedded systems. Proficient in various programming languages and tools. Led projects in software development and system integration. Hold a Bachelor's degree in Computer Engineering.

Zachary J.

Vetted ArcGIS Pro developer in the United States (UTC-5)

I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing.  These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining.  Applications included lead source QC, price/value prediction, and matching.  Other applications included regression modeling for attentional measures and content.  Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey.   I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience.  I also developed large data warehousing and CDP modeling at Even Financial.   Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity.  Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.

Zach B.

Vetted ArcGIS Pro developer in the United States (UTC-7)

Creativity is a huge part of my life. I specialize in game development and engineering, particularly with gameplay, UI, physics, engine architecture, tools, and automation. In my spare time, I'm also a musician, writer, cartoonist, and artist. Big ideas are what I thrive on, and I set out to master any skill I need to get the project done.

Jeremy K.

Vetted ArcGIS Pro developer in the United States (UTC-6)

Hello! I am a former Facebook Production Engineer, meaning I was tinkering around with systems and software on one of the largest web infrastructures in the world. Now I am out of the 'rat race' and looking to use my skills and experiences to serve others, including you! I am interested in and passionate about: * HTTP and Web infrastructure * TCP/IP, home, and small business networking * Python * Linux * Cloud infrastructure * System monitoring, scaling, and reliability Please reach out if you think I can help. Thanks!

GP S.

Vetted ArcGIS Pro developer in the United States (UTC+9)

I am a Data Engineer Professional with experience in designing and deploying enterprise-grade solutions, integrating e-commerce components, developing AI/ML models, optimizing ETL pipelines, and collaborating with data scientists. I have experience working with LLMs and RAG, and would love to help solve your business needs.

Raghav P.

Vetted ArcGIS Pro developer in India (UTC+6)

Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization