You will get AI Discovery and Solution Blueprint for Safe, Governed AI Systems
Rising Talent
Project details
Most teams know AI could help but get stuck between a vague idea and a risky
build. I run a structured discovery, map how your work happens today, and deliver
an implementation-ready blueprint: what AI handles, where a human stays in the
loop, how your data stays governed, and what it takes to build it.
I'm an AI Solutions Architect who actually builds — I designed and shipped a
private RAG engine end-to-end (Rust, on-device, post-quantum-signed) and pair it
with real cloud architecture and healthcare-security (HIPAA/HITRUST) experience.
So the plan is grounded in what's buildable, not slideware.
You get a current-state map with the bottleneck quantified, a prioritized
opportunity list, a solution blueprint and governance plan, and (SOW tier)
requirements with acceptance criteria plus a phased build plan.
How it works: we start in writing — send a short brief and sanitized samples, and
I come to our call prepared with a draft scope. Scoped, revocable access only,
never your root login. Honest scope, fixed price up front.
build. I run a structured discovery, map how your work happens today, and deliver
an implementation-ready blueprint: what AI handles, where a human stays in the
loop, how your data stays governed, and what it takes to build it.
I'm an AI Solutions Architect who actually builds — I designed and shipped a
private RAG engine end-to-end (Rust, on-device, post-quantum-signed) and pair it
with real cloud architecture and healthcare-security (HIPAA/HITRUST) experience.
So the plan is grounded in what's buildable, not slideware.
You get a current-state map with the bottleneck quantified, a prioritized
opportunity list, a solution blueprint and governance plan, and (SOW tier)
requirements with acceptance criteria plus a phased build plan.
How it works: we start in writing — send a short brief and sanitized samples, and
I come to our call prepared with a draft scope. Scoped, revocable access only,
never your root login. Honest scope, fixed price up front.
Machine Learning Tools
Apache Spark, Databricks Platform, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, pandas, Python, SQL, Tesseract OCRWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,500
|
Advanced
$2,950
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 0 | 0 | 0 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150Frequently asked questions
About Scott
AI Solutions Architect | Private RAG, Agentic AI, AWS & Governance
Phoenix, United States - 10:29 pm local time
Where I’m strongest: making AI safe and governable on a company’s own confidential data — data that never leaves your perimeter, with least-privilege access and an audit trail that survives a security review. What I deliver — Discovery → blueprint → SOW → phased implementation plan.
Implementation-ready specs, not vague ideas. — Private RAG & agentic systems — your model answers from your own documents with verbatim citations, on your cloud, zero external API calls.
My own engine (Rust + ONNX Runtime, hybrid HNSW+BM25) benchmarked at 1.7s average query latency on an NVIDIA A100 across a 150 document mixed-format legal corpus — 20/20 answers cited, zero hallucinations. Kills hallucination; nothing trains a public model. — Governance built in, not bolted on — scoped/revocable access, KMS encryption, human-in-the-loop approval gates, and a post-quantum signed append-only audit chain (ML-KEM-768 / ML-DSA-65, NIST FIPS 203/204). — AWS architecture — Bedrock inside your account, VPC endpoints (no public internet), IAM least-privilege, serverless pipelines. — Data engineering when the AI needs a foundation — DuckDB columnar analytics benchmarked at 172M rows/second on a single workstation (167M NYC Yellow Cab records, 971ms, no cluster).
I built HazyNet — a multi-node Apache Spark 3.5 cluster in functional Scala — to benchmark against, so I reach for Spark/Databricks with eyes open, only when the scale genuinely needs it. Cryptographic chain of custody — every deliverable is ML-DSA-65 signed (NIST FIPS 204). You can verify exactly what I sent you, un-tampered.
Credentials (real and verifiable) AWS Certified Solutions Architect – Associate · Databricks Certified Associate Developer for Apache Spark (Scala) · 14 years across SQL, web hosting, and healthcare compliance. How I work Scoped, revocable access only — never your root login. Full scope agreed in writing, then I quote. Fixed-fee per project. Remote, available now.
Steps for completing your project
After purchasing the project, send requirements so Scott can start the project.
Delivery time starts when Scott receives requirements from you.
Scott works on your project following the steps below.
Revisions may occur after the delivery date.
Written intake
You send a short brief, your target outcome, and 2–3 sanitized samples through Upwork. No call yet — I want your context in writing first.
Review and draft prep
I review your brief, reply with targeted questions, and prepare a draft scope and a focused agenda before we ever talk.