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10+ years experience. I build products that are easy for users to understand. I work quickly, as I believe most progress is made during iteration, after user/client feedback. By choosing me as your developer, your project will get done sooner than you think. I pride myself in being an extraordinarily fast developer while still maintaining high-quality standards.

With a proven track record in software engineering and AI/ML development, I deliver innovative technical solutions that drive business value and enhance operational efficiency. 🔹 My Services: 🤖 AI/ML Solutions Development: - Custom AI agent development using cutting-edge frameworks including LangChain, LlamaIndex, and Transformers - Machine learning model implementation, fine-tuning, and optimization - Generative AI applications and advanced NLP solutions - End-to-end ML pipelines from data processing to production deployment - Expertise with latest LLM technologies (GPT-4o, Claude 3.5 Sonnet, Llama 3, Mistral) and efficient deployment strategies - RAG implementations with vector databases for enhanced retrieval capabilities - Agentic frameworks including LangGraph, AutoGen, and function calling 💻 Full-Stack Development: - Robust backend systems using Python, Django, and Node.js - Responsive frontend interfaces with React, Next.js, and modern JavaScript frameworks - RESTful API design and implementation - Database architecture and optimization (SQL and NoSQL) 🏢 Enterprise Software Solutions: - Scalable architecture design for high-performance applications - Legacy system modernization and integration - Cloud-based infrastructure implementation (AWS, Azure, GCP) - DevOps and continuous integration/deployment pipelines 🔹 Notable Projects: 🏥 Healthcare AI Assistant Developed an AI-powered clinical documentation assistant that reduced physician documentation time by 45%. Built using LangChain with GPT-4, integrated with FHIR APIs, and deployed on AWS with strict HIPAA compliance. Implemented robust memory and retrieval mechanisms to maintain context throughout patient interactions. 📊 Sentiment Analysis NLP Engine Created a sophisticated sentiment analysis system for a major e-commerce platform that processed 50,000+ customer reviews daily with 92% accuracy. Utilized fine-tuned BERT models and implemented a custom classification pipeline that identified product improvement opportunities, directly contributing to a 15% increase in customer satisfaction metrics. ⚙️ Predictive Maintenance ML System Engineered a machine learning solution for industrial equipment that predicted failures 72 hours in advance with 88% accuracy. Designed and implemented data pipelines, feature engineering, and model deployment on Azure. The system reduced downtime by 35% and maintenance costs by $2.3M annually. 🎓 E-Learning Platform Built a comprehensive online learning management system using Django, React, and PostgreSQL. Implemented real-time video conferencing, interactive assessment tools, and analytics dashboards. The platform scaled to 20,000+ users with 99.9% uptime and reduced course creation time by 60%. 💰 Financial Dashboard Application Developed a real-time financial analytics dashboard for investment professionals using Node.js, Express, and Angular. Integrated with multiple financial data APIs and implemented complex data visualization components. The application processed 5M+ data points daily while maintaining sub-second response times. 🔹 Technical Expertise: ⭐ AI/ML: LLMs, Generative AI, Machine Learning, NLP, Python ML frameworks (TensorFlow, PyTorch) ⭐ Backend: Python, Django, Node.js, Java, REST APIs ⭐ Frontend: React, Angular, JavaScript/TypeScript, HTML/CSS ⭐ Database: SQL, NoSQL, data modeling, performance optimization ⭐ Cloud: AWS, Azure, GCP, containerization, microservices ⭐ DevOps: CI/CD, Docker, Kubernetes, infrastructure as code I combine technical excellence with business understanding to deliver solutions that not only meet specifications but exceed expectations. Whether you need a sophisticated AI implementation, a robust full-stack application, or strategic technical consultation, I'm committed to bringing your vision to reality with quality, efficiency, and innovation.

I’m building a room-aware clinical voice system that lets doctors ask questions about the patient in front of them and receive real-time answers from the chart. The hard part isn’t making an LLM talk. It’s proving the system has the right patient, the right evidence and the right authority before it answers or acts. CURRENT: VOICE + AGENTIC EMR For a multi-facility medical clinic in Dallas, I’m leading the AI and EMR architecture behind a purpose-built voice device. It combines room proximity, clinician identity and active encounter data to bind the correct doctor, room and patient before accepting a question. A doctor can ask, “What was her last A1c?”, “Why was this medication stopped?” or “Did she complete the cardiology follow-up?” and receive a low-latency answer assembled from structured EMR records and longitudinal clinical notes. The answer is designed to show its evidence, dates and conflicts—and abstain when the chart does not support a reliable conclusion. The same platform captures the encounter, separates clinician and patient speech, transcribes and translates multilingual conversations, and prepares chart-ready documentation. We’re extending it into governed EMR agents that can identify unfinished follow-ups, prepare referrals and orders, assemble prior-authorization evidence, coordinate scheduling, draft patient instructions and reconcile documentation. Underneath the interface are FHIR/HL7 integrations, patient and encounter identity resolution, permissioned tool calls and source-level auditability. The operating model is simple: AI does the searching, assembling and drafting; the doctor reviews and verifies. Read, prepare and act are separate permissions. Consequential actions require approval, an audit trail and verification that the EMR actually changed. In parallel, I’m building the dialect-rich, human-reviewed Arabic speech data and evaluation pipeline needed to post-train open-weight ASR models. The roadmap includes LoRA adaptation, distillation and quantized serving for lower-cost self-hosting and possible edge deployment. SELECTED PROOF • For Plan AI, I built and productionized a real-estate intelligence engine that finds and interprets zoning rules, classifies interior, corner and through lots from geospatial data, calculates setbacks and buildable envelopes, and incorporates FEMA flood risk. Its evaluation harness catches invented ordinances, invalid geometry and unsupported conclusions—allowing cheaper models such as Gemini Flash to be used while still returning verifiably correct results. • For a publicly traded lender with approximately $40M+ in annual revenue, I led an AI underwriting platform that automated most small-business credit decisions while routing the hardest 10–15% to expert underwriters. Confidence thresholds, escalation, PII isolation and auditability were built into the workflow. I work best where AI touches money, care, compliance or operations and an impressive demo is not enough. I can move from executive conversation to architecture, production code, evaluation and rollout without the handoffs of a conventional consulting team. As one client put it: “Got a week’s worth of work done in less than an hour due to Jonathan’s expertise.”

Senior Software Engineer with 14+ years of experience designing, building, and scaling production systems end-to-end from backend APIs and databases to modern frontend interfaces, cloud infrastructure, and now AI-powered automation. I specialize in building robust, event-driven, and API-first applications using Python (Django, Django REST Framework, FastAPI), Node.js, and Go/.NET for teams that need reliable cross-stack solutions rather than narrow point fixes. On the frontend, I work comfortably with React, JavaScript/TypeScript, and modern component-driven architectures to deliver complete, production-ready products. My infrastructure background spans AWS (EKS/Kubernetes, Lambda, S3), Docker, CI/CD pipelines, and Kafka-based event streaming, allowing me to design systems that scale from prototype to enterprise volume - including high-throughput data pipelines processing millions of records for advertising, healthcare, and e-commerce platforms. Over the past two years I've expanded into AI-driven engineering - integrating LLMs (OpenAI/Anthropic APIs), building AI agents, and embedding intelligent automation into existing backend systems - as well as business process automation using n8n, Zapier, Make (Integromat), and Microsoft Power Automate/Microsoft 365 automation to help teams eliminate manual work and connect disparate SaaS tools without heavy engineering overhead. Whether you need a fullstack web application built from scratch, a legacy system modernized and moved to the cloud, or AI/automation layered onto an existing product, I bring the versatility to own the project end-to-end. Core Skills: - Backend: Python (Django, DRF, FastAPI), Node.js, Go, .NET/C# - Frontend: React, JavaScript/TypeScript, HTML/CSS - Cloud & DevOps: AWS (EKS, Lambda, S3, RDS), Kubernetes, Docker, CI/CD - Data & Messaging: Kafka, Celery, PostgreSQL, MongoDB, Pandas - AI/LLM: OpenAI/Anthropic API integration, RAG pipelines, AI agent workflows - Automation: n8n, Zapier, Make, Microsoft Power Automate/365 automation - Architecture: Microservices, event-driven systems, REST/GraphQL APIs

I'm a frontend-focused web developer with 15+ years of professional experience building fast, responsive, and maintainable websites and web applications. I specialize in translating polished designs into production-ready websites while balancing performance, usability, and long-term maintainability. My primary technologies include React, Next.js, TypeScript, JavaScript, Shopify/Liquid, Sanity CMS, WordPress, GSAP, Tailwind CSS, Node.js, PHP, and MySQL. I also have experience with Git-based workflows, CI/CD using Netlify and AWS Amplify, serverless functions with AWS Lambda, performance auditing with Lighthouse, and integrating third-party APIs and services. Over the years I've worked with startups, agencies, small businesses, and larger organizations on everything from marketing websites and ecommerce stores to CMS-driven platforms and interactive frontend experiences. I'm comfortable taking projects from design implementation through deployment and ongoing maintenance, whether working independently or as part of a larger team. If you're looking for someone who values clean code, clear communication, and thoughtful frontend craftsmanship, I'd be happy to discuss your project.

Github: /lancebendo Highly skilled software developer proficient in C#, JavaScript, TypeScript, SQL, NoSQL, and GIT. Accomplished significant project milestones, including integrating shipping APIs for automated logistics, implementing Firebase Functions to optimize backend processes, and developing reusable UI components. Known for problem-solving abilities, attention to detail, and delivering high-quality results. Collaborative team player with a track record of successful code reviews and peer programming. Ready to make a positive impact on new challenges. Front End Technologies: • JavaScript/TypeScript • React.JS, Material-UI, REACTSTRAP • Redux • MaterializeCSS and Bootstrap Back End Technologies: • Node.JS, Express.JS • MongoDB • C# .NET, .NET Core • SQL based databases • Firebase • Restful APIs Tools • Git/SVN • Jira, Asana, Trello • Command line/Powershell I always use my knowledge on implementing clean and efficient solution to complex problems. I'm also a fast learner and can adapt to whatever is needed for the project. Looking forward to working with you.