You will get Progressive Web Application and Web Development Mentoring
Top Rated
Project details
We will meet online for 1 hour for live mentoring, teaching and reviewing code. I can help you understand how progressive web apps and web development can and should work to optimize your application's experience.
Programming Languages
HTML & CSS, JavaScriptCoding Expertise
Cross Browser & Device Compatibility, Performance OptimizationWhat's included
| Service Tiers |
Starter
$150
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 0 | 0 | 0 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | |||
Source Code |
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HL
Hubert L.
May 16, 2026
Freelance Developer - PWA & Offline Maps
Chris delivered a complex PWA with some genuinely challenging technical problems along the way. He stuck with it and the end result works well. Would recommend for complex technical work.
CW
Charles W.
Jan 15, 2025
Custom OpenAI ChatGPT API support
Great work!
NL
Nathan L.
Jun 15, 2024
PWA + Responsive Web Front + Backend + Admin Panels
NL
Nathan L.
Jun 15, 2024
PWA + Web App Rockstar Wanted
BB
Bryan B.
Aug 13, 2019
Progressive Web App Consulting
Chris is very knowledgable.
About Chris
AI Developer & Systems Architect | OpenAI, RAG | Secure AI Platforms
100%
Job Success
Arlington, United States - 11:17 am local time
Not demo chatbots.
Not hype prototypes.
Not “AI wrappers.”
I build controlled, retrieval-augmented intelligence systems that operate reliably under real-world constraints — especially in document-intensive and regulated environments.
With 30+ years in software engineering, I specialize in:
Retrieval-Augmented Generation (RAG) systems
Secure document ingestion and indexing pipelines
Role-based access control (RBAC) for sensitive content
Audit logging and observability for AI systems
Deterministic AI workflows with controlled grounding
Production-ready deployments under compressed timelines
If you’re building an AI assistant that must respect permissions, cite sources, survive scrutiny, and scale responsibly — that’s my lane.
🔷 What I Build
🔹 Secure AI Knowledge Portals
Matter-aware or domain-aware document ingestion
Chunking strategies for contracts, briefs, manuals, technical documents
Vector database architecture (ChromaDB, Pinecone, Qdrant, etc.)
Permission-aware retrieval at query time
Context fusion layers that constrain model output to trusted knowledge
Structured citation injection into responses
Comprehensive audit logging (inputs, retrieved docs, model outputs)
Used in:
Legal environments
Advisory and research systems
High-trust internal knowledge platforms
🔹 Expert Advisor & Intelligence Systems
Domain-specific AI copilots
Industry knowledge assistants
Contract and policy analysis tools
Decision-support dashboards
Multi-thread persistent conversations
Prompt orchestration tuned for nuance and accuracy
These systems are designed to:
Reduce hallucination risk
Ground responses in owned documents
Preserve explainability
Support executive-level decision making
🔹 Structured Ingestion & Knowledge Engineering
PDF/DOCX processing pipelines
OCR integration where required
Schema-aware metadata tagging
Embedding strategies tuned for long-form documents
Hybrid retrieval (semantic + keyword)
Evaluation workflows to test answer quality
I design ingestion pipelines to be repeatable, scalable, and auditable — not ad hoc.
🔹 AI System Observability & Guardrails
Logging of retrieval decisions
Monitoring of model drift and failure cases
Clear separation between AI reasoning and source authority
Retry and fallback logic
Administrative dashboards for oversight
When AI is used in professional settings, oversight matters. I build for that from day one.
🔷 Demonstrated Experience
Built and deployed a RAG-based knowledge assistant embedding and indexing 40,000+ documents, supporting persistent multi-thread research workflows.
Designed context fusion layers that inject top-ranked documents directly into model prompts to constrain output.
Implemented structured citation systems tied to vector retrieval.
Delivered complex AI systems under aggressive timelines (multi-week builds).
Built large-scale ingestion pipelines without prior framework dependencies.
Extensive experience designing backend-first architectures that minimize risk.
I’ve built production systems in:
Legal-adjacent environments
Healthcare-related platforms
Financial and advisory tools
Large-scale content knowledge systems
Enterprise dashboards and monitoring platforms
🔷 Technical Stack
Backend:
Python (FastAPI), Node.js
REST APIs
JWT authentication
Role-based access control systems
AI:
OpenAI / Anthropic APIs
RAG architecture
Prompt orchestration
Embedding pipelines
Hybrid retrieval strategies
Vector & Storage:
ChromaDB
Pinecone
Qdrant
PostgreSQL
MongoDB
Infrastructure:
Docker / Compose
AWS (EC2, S3, RDS)
Cloud deployment patterns
Secure web application deployment
Frontend:
React
Clean, minimal UI for AI interfaces
Admin dashboards
Streaming response UX (when required)
🔷 How I Work
Architecture-first execution
Scope discipline under compressed timelines
Clear execution order (foundation → ingestion → retrieval → orchestration → admin)
Risk surfaced early
No hidden complexity
No “we’ll fix it later” AI shortcuts
If something threatens reliability or compliance, I flag it immediately.
🔷 Engagement Style
I’m best suited for:
Fixed-price MVP builds ($15k–$40k)
High-trust internal platforms
Advisory AI systems
Milestone-based delivery
Short, intense build windows
Architecture stabilization before scale
I am comfortable committing full-time during compressed build windows when required.
🔷 Background
30+ years professional engineering experience
Author of:
High Performance Single Page Web Applications
Progressive Web App Development by Example
Former Microsoft MVP (14 awards)
Speaker at developer and performance conferences
I bring senior-level judgment to AI systems that must operate beyond proof-of-concept.
🔷 If You’re Building…
A secure legal AI portal
An industry-specific knowledge advisor
A document-intensive
Steps for completing your project
After purchasing the project, send requirements so Chris can start the project.
Delivery time starts when Chris receives requirements from you.
Chris works on your project following the steps below.
Revisions may occur after the delivery date.
Online Meeting
We will meet online at a schedule time for 1 hour. You and I will review your issues and topics and I will offer suggestions, guidance and potentially code updates.