09/11/2026 updated
100 % available
Senior Full-Stack Developer | AI, IoT & Cloud SaaS Platform Developer
Saint James City, USA
Worldwide
Bachelor of Science in Computer ScienceAbout me
I'm a senior full-stack AI developer with 8+ years of experience building scalable SaaS, AI, IoT, and cloud systems. I leverage strong expertise in Node.js, Python, C/C++, LLMs, AI agents, computer vision, OCR, APIs, and cloud architecture, I deliver reliable, end-to-end production solutions.
RAGIoTOpenAIGCPChatGPTSupabaseFlutterJavaScriptArtificial IntelligenceAmazon Web ServicesOptical Character Recognition (OCR)Computer VisionBluetooth Low Energy (Bluetooth)Mobile Application DevelopmentDevOps
I specialize in building complete end-to-end solutions, including backend architecture, API development, frontend applications, AI integration, cloud infrastructure, production deployment, and system optimization. My experience covers the full software development lifecycle, from technical planning and architecture design to implementation, testing, deployment, and long-term maintenance.
? AI & Intelligent Application Development
Experienced in developing practical AI-powered applications using LLMs, OpenAI APIs, AI Agents, RAG systems, vector databases, embeddings, and intelligent automation workflows.
I have integrated AI capabilities into business applications, including document processing, knowledge retrieval, workflow automation, data extraction, recommendation systems, and AI-assisted decision-making solutions.
? Frontend & Mobile Development
Developed modern web and mobile applications using React, Next.js, TypeScript, JavaScript, React Native, Flutter, Dart, Redux, and Tailwind CSS.
Experienced in building responsive user interfaces, mobile applications, real-time features, API integrations, dashboards, and customer-facing platforms.
? Backend Development & System Architecture
Strong expertise in designing scalable backend systems using Node.js, Python, Django, C#, .NET Core, and Ruby on Rails. Experienced in building RESTful APIs, microservices, third-party integrations, authentication systems, real-time applications, and data-driven platforms.
I have designed backend architectures for SaaS products, healthcare platforms, real estate systems, business automation tools, and IoT solutions. My focus is on clean architecture, maintainable codebases, performance optimization, security best practices, and reliable production systems.
? Database, Cloud & DevOps
Experienced with PostgreSQL, Redis, Firebase, Supabase, SQL database design, data modeling, and performance optimization.
Skilled in cloud-based deployments using AWS and modern DevOps practices including Docker, CI/CD pipelines, GitHub Actions, Linux environments, monitoring, and production infrastructure management.
? Computer Vision & Document Intelligence
Hands-on experience building computer vision systems using OpenCV, YOLO, TensorFlow, and PyTorch for object detection, tracking, image processing, and video analytics.
Developed OCR and document intelligence solutions using OCR engines, Tesseract, Document AI, and intelligent document processing (IDP) pipelines for automated data extraction and business workflow optimization.
? IoT & Embedded Systems
Experienced in developing IoT platforms connecting devices, sensors, embedded systems, and cloud applications.
Technical expertise includes Embedded C/C++, MQTT, LoRaWAN, BLE, AWS IoT Core, edge AI, sensor integration, device communication, and real-time monitoring systems. Built solutions involving hardware communication, cloud connectivity, analytics, and AI-powered automation.
Experience
Professional experience5 - 10 years
Freelancer since2016
Languages
EnglishNative speaker
Project history
• Developed and maintained 20+ healthcare applications and production systems supporting patient workflows, clinical operations, and healthcare business processes.
• Architected and implemented secure, scalable backend APIs, data services, third-party integrations, and cloud infrastructure for production healthcare platforms.
• Built AI-powered solutions for document processing, OCR, medical data extraction, classification, and workflow automation, reducing manual processing across operational workflows.
• Designed systems with security, data privacy, reliability, and scalability in mind, owning key architectural and technical decisions from development through production deployment.
• Collaborated directly with clients, product teams, and engineers to translate business requirements into maintainable technical solutions and deliver production-ready systems.
• Delivered 30+ IoT and connected-device platforms integrating embedded systems, sensors, real-time data pipelines, and cloud applications for industrial and smart-technology use cases.
• Designed and developed backend architectures for device communication, telemetry processing, monitoring, analytics, event handling, and production-scale deployments.
• Developed C/C++ embedded integrations and firmware components, working closely with hardware and software teams to ensure reliable device-to-cloud communication.
• Implemented computer vision solutions using OpenCV and YOLO for real-time object detection, tracking, image analysis, and AI-driven automation.
• Owned architecture, backend engineering, cloud integration, performance optimization, and production troubleshooting while collaborating with clients and cross-functional engineering teams.
• Delivered 20+ real estate platforms covering property marketplaces, CRM systems, property management, internal operations, and analytics dashboards.
• Designed and implemented scalable backend architectures using Node.js, Python, Supabase, and cloud services, supporting production workloads and growing user bases.
• Developed AI-powered capabilities including intelligent property search, recommendation systems, automated data processing, and OCR-based document workflows.
• Built production-ready web applications and integrated frontend systems with backend APIs, AI services, databases, and third-party platforms.
• Worked directly with clients and cross-functional teams, taking ownership of technical architecture, implementation decisions, integrations, deployment, and end-to-end delivery.