Full Stack Developer with over 10 years of experience delivering smart, scalable, and data-rich software solutions. I specialize in AI/ML, SaaS development and GIS/mapping applications—bringing together automation, insight, and interactivity to help businesses grow. 🤗 AI-First Product Development Integrating AI isn’t a feature—it’s a core advantage. I embed intelligence into web apps to make them faster, smarter, and more autonomous. - OpenAI (ChatGPT, GPT-4), LangChain, Hugging Face - AI assistants, smart search, recommendations, document parsers - NLP pipelines: summarization, tagging, classification, sentiment - Slack/CRM integrations with AI-enhanced workflows - Custom-trained models for niche business use cases 🤗 SaaS Development – Full Stack, End-to-End I build SaaS platforms that are elegant, fast, secure, and scalable—from MVP to enterprise scale. - Frontend: React.js, Next.js, Vue.js, Tailwind, MUI, Shadcn, TypeScript - Backend: Python (FastAPI, Django, Flask), Node.js, ExpressJS, NestJs - Database: PostgreSQL, MySQL, Firebase, MongoDB - Infra: AWS, GCP, Docker, Kubernetes, CI/CD pipelines 🤗 GIS and Mapping Platforms I build interactive map applications that combine geospatial analysis with clean UI/UX and business logic. - Map Libraries: Mapbox GL JS, Leaflet, Google Maps API - GIS Data Handling: GeoJSON, shapefiles, PostGIS, Turf.js ✅ Selected Projects - AI-powered document parser for real estate investment firms - GIS dashboard for zoning, elevation, parking, and building stats - Interactive map with business category filters + export features - Slack-based AI assistant integrated with Google Drive and Miro ✅ Why Clients Work With Me ✔️ Deep experience across AI, SaaS and GIS ✔️ Capable of owning product delivery end-to-end ✔️ Equally strong in UX, backend architecture, and data logic ✔️ Clear, proactive communication and clean execution 🤗 Let’s build your next AI-powered, map-enabled, insight-rich platform.

I’m a Full Stack Developer and Automation Engineer with 5 years of experience, specializing in Python, Node.js, and SQL. I build smart, reliable solutions that automate repetitive workflows and transform complex data into clear, actionable results. I specialize in: • PDF, Excel & Database Automation – precise extraction, transformation, and insertion with rollback safety. • Web Development – scalable, data-driven apps using Node.js, Express, React, and MySQL. • AI & Geospatial Analysis – experience in Sentinel satellite data, ConvLSTM + Attention models, GeoPandas, and QGIS. • ETL & API Integration – efficient pipelines with full error handling and logging. Holding a Diploma in Electrical & Computer Engineering, I combine engineering insight with software expertise. I focus on clean, maintainable code, clear communication, and long-term reliability. Let’s work together to automate, optimize, and scale your next project.

Senior Data Engineer with 10 years of experience building production-grade data pipelines, ETL systems, and analytics infrastructure for startups and enterprise organizations alike. I build things that work, ship on time, and don't break at 2am. My core stack: Python, SQL, Apache Airflow, dbt, Kafka, Snowflake, AWS (Lambda, Glue, Step Functions, S3, ECS), Google BigQuery, Redshift. What I've actually done: - Built and deployed 20+ custom data pipelines at a Series-B PropTech unicorn, orchestrated with Airflow, loading from REST/GraphQL APIs, cloud storage, and databases into Snowflake - Stood up enterprise Airflow from scratch — multi-environment deployments, full CI/CD, monorepo pipeline delivery - Built a real-time MLS Listings streaming pipeline using Kafka and Snowflake Streaming - Developed a machine learning-based Automated Valuation Model (AVM) for real estate appraisers using Python, Kedro, and MLFlow - Designed and deployed an OFAC compliance automation system meeting USDOJ requirements I have deep experience building end-to-end data pipelines and ELT processes — specifically ingestion pipelines in Python orchestrated within Airflow, using frameworks including Singer, Meltano, and Airbyte, loading into Redshift, Snowflake, and BigQuery data warehouses, with transformations handled in dbt. If your stack touches any of those tools, I've built production systems on top of them. I hold a BS in Petroleum Engineering from the University of Tulsa, an MBA, and an MS in Computer Science (Big Data Systems) from Arizona State University. I communicate clearly with both engineering teams and business stakeholders. U.S.-based, U.S. citizen, available for remote 1099/C2C contracts. I respond quickly, write clean documented code, and deliver. Let's build something.

I am a senior full stack engineer with more than 15 years of experience helping companies build reliable, high performing, and AI powered web applications. My work spans more than twenty successful projects across SaaS, analytics, eCommerce, and enterprise systems, with a focus on clean architecture, fast delivery, and long term maintainability. My core strength is taking complex product requirements and turning them into stable, production ready solutions. I specialize in React on the frontend and FastAPI or Node.js on the backend, and I combine these with modern cloud practices to build applications that stay fast, secure, and easy to scale. I work comfortably in both startup and enterprise environments. I have built everything from data heavy dashboards and multi tenant SaaS platforms to conversational AI tools and real time analytics portals. Many clients come to me because they need someone who can understand the product vision, make strong technical decisions, and own the work from start to finish without constant supervision. Over the years, I have delivered solutions such as • AI assisted search, chat, and workflow features • Data visualization dashboards for large and fast moving datasets • Complete SaaS platforms with authentication, billing, and admin control • Web applications that integrate external APIs, LLMs, and cloud services • Scalable backend systems designed for real users and real load • Custom tools that remove manual tasks and support rapid growth • Modern UI experiences built with React, TypeScript, and clean component design I am also comfortable working across a broad technical spectrum. My background includes Python, C#, Vue, Angular, Tailwind, PostgreSQL, Docker, AWS, and continuous delivery pipelines. This allows me to work with existing systems, introduce improvements without disruption, and mentor teams when needed. What clients appreciate most is my ability to communicate clearly, ask the right questions, and deliver progress without hand holding. I value long term work and building trust through consistent delivery. If you need a senior engineer who brings strong execution, real product experience, and the clarity to make your project move forward with confidence, I would be glad to discuss how I can support you.

As a Mapbox Developer Network (MDN) member with 15 years of experience and 300+ completed projects, I build fast, scalable and reliable interactive web maps and web applications for businesses in the real estate, oil and gas, insurance, logistics, transportation, hospitality and other sectors. What I do • Interactive maps: Mapbox GL/Maplibre, OpenLayers, Leaflet or Google Maps API, ArcGIS Online • Map styles: Mapbox Studio • Data visualizations: HighCharts, Recharts, D3.js, Uber H3, GIS dashboards • Locators: Either a standalone- or Shopify/Webflow based locator application • GIS & spatial analysis: QGIS, PostGIS, GDAL/OGR • Full stack development: React, Next.js, TailwindCSS and REST API creation/integration using Node.js/Express or Python • Cloud based operations: Docker, AWS, DigitalOcean How I work Following an initial discussion of your use case, requirements and input data, I come up with a proposal for the project duration, costs and milestones as well as the architecture. Throughout the project, I provide regular status updates and short feature demonstrations. If you need an interactive map, a custom web application, a geospatial dashboard or a data visualization send me a message and let's discuss your project.

By combining my powerful foundation in Computer Science and Topography, I specialize in creating robust GIS solutions. I am particularly passionate about using remote sensing and AI for Earth observation.

Complete Portfolio > diporizki.edgeone.app/ Hello everyone, thank you for visiting my profile, my name is Dipo Rizki Saleh. I'm a graduate of Geography, Faculty of Mathematics and Natural Science Universitas Indonesia that passionate about GIS, Remote Sensing, Spatial Data Science, Data Visualization, R programming, Business Development, and Digital Marketing that have 2 years of college-work experience in small companies and ventures and 1+ years (ongoing present-time) of industry-work experience in big corporate. I have skills in spatial analysis, statistical analysis, satellite imagery, GIS architecture, survey and mapping, and programming using ASP.NET C#, javascript, R, Python, and SQL. I am also familiar with various frameworks, including Tensorflow, Numpy, React.js, and Node.js for data science and modeling needs. With my background in GIS, remote sensing, and spatial data science alongside business development, I can help the company to achieve its goal of expanding into new markets and improvising its development, especially in spatial analytical needs. Whether the company is a plantation/mining/logistic/environment/retail/oil&gas or other related industries. Technical Competency/Expertise: - Geographic Information System (GIS) : Spatial Analysis, Thematic Mapping, WebGIS, Google Earth Engine, Dashboard Development (R), Spatial Queries, Spatial Data Management - Remote Sensing : Raster Analysis & Visualizations, Spatial Training & Modeling (Python), Indices Algorithm, Satellite Imagery, 3D Modeling - Survey and Mapping : Land/Topographic Survey, Surveying instrument (Theodolite, RTK, and GPS) - Business: Digital Marketing, Business Development & Improvement, Entrepreneurship, General Geography * Software/Language Used: QGIS, ArcGIS (All Products), RStudio, Jupyter, AutoCAD, ENVI, GEE, Tableau, Power BI / R, Python, SQL, Javascript, HTML, CSS Soft skills: - Leadership, team-working - Good English proficiency - Management, growth-mindset Hobbies: - Watching movies, playing games - Going hangout with friends - Culinary and coffee/drinks enthusiast MBTI: Commander (ENTJ-A)

React and Node.js developer with full-stack experience and a background in web security. I build production-ready applications, from Figma-to-code UI components through to REST APIs, authentication, and real-time features. I've shipped mobile apps to the App Store and Google Play, built automated workflows with UiPath, and written code with security built in from the start. Currently working full-stack on a live platform while completing professional courses in cybersecurity, AI and RPA.

I build production AI agents and LLM systems. 50+ projects across fintech, healthcare, media, legal tech, climate tech, and research: multi-agent systems, agent harnesses, evaluation systems for agentic workflows, Claude Code, Claude Agent SDK, OpenAI Codex, Hermes, Openclaw, MCP servers, RAG at scale, fine-tuning, and document AI. 7+ years shipping ML and AI in production. $700K+ delivered. Expert-Vetted (top 1%). 100% Job Success Score. I’m not new to ML. Before the LLM wave I spent years building classical ML and NLP systems in Python: search engines, recommendation engines, entity extraction, knowledge graphs, and predictive models. That foundation means I know when a problem needs an LLM and when it doesn’t. I’ve also cofounded two startups, so I think about business outcomes, not just model accuracy. Recent work: - N1 Healthcare: Led the Report Generation team on a medical AI platform. Built the agent harness that dispatches 13+ clinical report workflows across Claude Agent SDK, OpenAI Agents SDK, and Agno through a LiteLLM gateway, with a planner coordinating 20+ specialty agents. Report cost went from roughly $80 to $15-25 per run. Also worked on the upstream medical record parsing pipeline. - Newsweek (4+ years): 15+ AI applications and 6 Azure Function Apps used daily by non-technical editors. Cosmos DB vector search with Reciprocal Rank Fusion hybrid ranking on 3072-dim embeddings, MCP servers exposing agent tools to Copilot Studio, automated article-to-video pipeline at 95%+ success. A live 30-day window measured 497 editorial hours saved at 15.8% AI adoption. Trained editorial staff to run the systems without developer support. - Stratifi: Built the AI layer on a Django + Postgres backend. Dual-LLM PDF extractor (GPT-4o + Gemini) at 95%+ accuracy on 50+ page brokerage statements, 10-30 positions/second, with a 24-document eval harness gating prompt changes. Multi-agent financial chatbot routing across 4 market data sources, plus a 4-layer portfolio optimization agent and a Lambda support agent with tool calling. Elasticsearch hybrid search over millions of securities. - CGIAR: Research impact assessment processing 9,166+ records with 6 fine-tuned GPT-4o-mini variants, GPU-accelerated PDF layout detection with Detectron2, 3-tier evidence extraction at 50 concurrent operations. - Adoro: 7-stage AI automation pipeline for marketing, turning a week-long manual process into under an hour, processing 100K+ items per run with 3-pass LLM extraction (initial, reflection, self-reflection). - ClimateX: Web crawling and location intelligence pipeline with Flair NER for entity extraction, dual geocoding APIs, and proximity-based deduplication. - Accelchain: Smart contract vulnerability detection covering 37 SWC vulnerability types with vector-DB retrieval over 33,488 known patterns, RAG plus few-shot plus Chain of Thought for explainable remediation. - SynMax: NLP pipeline processing 400,000+ historical records with LongT5 fine-tuned at 16K context, 16-category document classification, cross-document entity linking across court records, deeds, and financial documents. - Epitome (cofounded): HR Tech B2B2C platform with custom Word2Vec on millions of LinkedIn profiles, ArangoDB knowledge graph modeling O*NET across 20+ edge collections, entity resolution cascade (exact, fuzzy, embedding, LLM), Elasticsearch candidate search, 40+ REST endpoints. Core capabilities: AI Agents and Orchestration, Agent Harnesses, Agent Evals, Multi-Agent Systems, Claude Agent SDK, MCP, LLM Fine-Tuning and Post-Training, RAG and Hybrid Retrieval, Document AI and OCR, Production ML and Forecasting, NLP and Knowledge Graphs, Data Pipelines and ETL, Cloud Infrastructure, and API Development.

Nasser is a geospatial developer and data engineer with experience of developing web applications and data pipelines.