Abdul R.

Senior AI and Full-Stack Developer. I led the build of KaiAgentx, a legal AI platform that let one law firm double its paralegal capacity. I build LLM agents, automations and AI products with Python, Node.js and Next.js, with Supabase and PostgreSQL for data. I'm a PhD researcher in AI with an MS in Computer Science (Data Science and AI). I've worked in machine learning since 2018, leading teams and architecting production products in legal tech, healthcare, field service and cybersecurity. How I can help - Automation: your team loses hours each week moving information between email, documents and your CRM. I build AI agents that do that work while your team reviews only the exceptions. - AI products: you need the first version of an AI product launched on web or mobile, with the AI tested on real data before it ships. - Long-term or advisory: you want an experienced AI developer inside your team, or a few sessions to choose models, tools and architecture before committing budget. How I work I test every AI change on your own data, so you see accuracy, speed and running cost in numbers before anything ships. Every engagement starts with a short discovery call and success metrics agreed in writing, then milestones with test results attached, full documentation and full code ownership at handover. Stack Python, FastAPI, Node.js, TypeScript, React, Next.js, Supabase and PostgreSQL on AWS or Azure. LLM agents, RAG systems and MCP servers built on OpenAI and Claude models. Flutter and React Native for mobile, through to App Store and Google Play launch. Twilio and Retell for voice agents. HIPAA-aware data handling and audit trails for healthcare and compliance work. Results from recent projects KaiAgentx (legal AI, Azure): I led the team and built the frontend, backend and AI backend, then tuned chunking, filtering and reranking so retrieval stayed accurate as the document base grew. Voice agents (US home services company): built with Twilio and Retell, cutting the first response delay from 3 to 5 seconds down to under 800ms. Bloom Care (maternal health app provided by hospitals): built the React Native apps and the Node.js backend on AWS, integrated it with several hospital systems, and designed the AI to give reliable guidance even when patient data is sparse or missing. Trivega (HIPAA-compliant compliance platform): as Fractional CTO, I owned the architecture on Next.js, FastAPI and AWS Bedrock, led the frontend and backend teams, and built a machine learning classifier that flags policy violations and attacks from Okta and Microsoft Defender events. HVAC Hero (field service platform): built the iOS and Android apps in Flutter, plus the backend and AI backend on Azure. Send me a short message about the work you want automated or the AI product you want to launch, and I'll reply within 24 hours with a clear plan, timeline and cost range.