Panvira Dunyatammatat
I’m a self-taught full-stack engineer with 4+ years of experience building production-grade web applications across government, e-commerce, and marketing tech.
About
I’m a self-taught full-stack engineer with 4+ years of experience building production-grade web applications across government, e-commerce, and marketing tech. I work end-to-end—bringing features from architecture and integration through deployment, monitoring, and iteration—especially where reliability, security, and measurable user impact matter.
A big focus of mine is applying real AWS depth and modern UI engineering to practical problems, from secure auth/KYC-style flows and real-time user experiences to AI safety and transcription pipelines. I’ve delivered and supported live systems and pilots, using technologies like Next.js, TypeScript, Supabase, Clerk, AWS (S3/Amplify/Lambda/Rekognition/Transcribe), and Terraform to ship solutions that drive tangible outcomes.
- 4 years' experience
- Joined November 2026
Industry experience
- Government
- Software & Internet
- Media & Entertainment
- Retail
- Financial Services
- Other
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Work experience· 6 roles
Shipped and maintained a booking and relationship-management platform with multi-app Next.js/TypeScript functionality (family, officer, tablet) backed by Supabase. Built a real-time AI monitoring UI layer using AWS Rekognition and Terraform-driven infrastructure, providing in-call alerts and status indicators tied to backend transcription/detection risk signals (e.g., flagged devices, face-match, prohibited content). Developed an audio-to-risk pipeline: call audio sourced from S3, transcribed via AWS Transcribe, then processed by an AI layer to generate searchable visit summaries and automated risk alerts. Implemented AWS S3-based KYC-style document upload and OTP-based verification using Amplify Auth, including presigned URLs and dynamic content-type handling, plus LiveKit access token scoping for real-time video-call permissions. Delivered on-call production fixes during a prison video pilot (Bangkok Remand & Prison), achieving reported reductions in staff workload and family travel
Built and shipped booking, eligibility, and feature sets across multiple Next.js/TypeScript apps (family, officer, prison tablet) using Subabase, Clerk, and LiveKit. Migrated legacy API routes into Next.js server actions. Developed a real-time AI monitoring UI using AWS Rekognition and Terraform, enabling in-call alerts and status indicators for risk signals produced by a backend transcription/detection pipeline. Implemented an audio-to-risk pipeline: recorded call audio, pulled it from S3, transcribed with AWS Transcribe, then generated automated risk alerts and searchable conversation summaries via an AI layer. Built a KYC-style identity verification pipeline using presigned S3 uploads and Amplify Auth OTP-based verification. Added LiveKit access token scoping to control real-time video call permissions. Delivered production fixes during the live pilot at Bangkok Remand and Prison, achieving measurable impact on staff workload, reduced travel-related costs, and positive survey outcom
Led migration from JavaScript (React + Node.js) to TypeScript/Next.js, refactoring the full stack to improve maintainability and scalability. Built a standalone drag-and-drop email template builder using DnD-kit, reducing email template development time by ~80% versus native Salesforce tooling. Integrated Salesforce OAuth for users to manage protected Salesforce resources (files, folders, business units, branding) directly inside the app, removing the need for separate tooling. Identified authentication vulnerabilities and redesigned the auth workflow using Auth.js; containerized and deployed the application to Heroku to standardize infrastructure across environments.
Education
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