1. Introduction & Trust Philosophy
As an independent consultant operating high-performance data systems and custom ML modeling architectures, I hold confidentiality as a core operational metric. This document outlines the protocols I employ to protect contact information, client-side data pipelines, and proprietary business context when you interact with my portfolio or engage my services.
I do not collect bulk personal browsing data, nor do I implement third-party advertising trackers. My collection parameters are focused exclusively on facilitating direct, high-value consulting inquiries and secure operational deployment.
2. Data Minimization Protocol
Consistent with high-performance systems design, data is only collected where there is an explicit, functional requirement:
- Inquiry Details: When you initiate contact via email (
aryanto.dandan@gmail.com) or professional networks, the text payloads, metadata, and corporate context provided are logged for the sole purpose of assessing the technical feasibility of your requirements. - Project Scoping Metadata: Any operational parameters or datasets voluntarily transferred during preliminary technical scoping are strictly compartmentalized and deleted immediately upon engagement close or non-commencement.
3. Enterprise Confidentiality & NDA Alignment
Machine learning engineering operates natively at the core of company intelligence. Therefore, all standard service delivery models adhere to the following baseline compliance criteria:
NDA Commitment
I operate on an NDA-First approach. Prior to sharing proprietary business logic, training datasets, database credentials, or architectural designs, a Mutual Non-Disclosure Agreement can be executed to establish legal isolation and strict professional confidentiality guidelines.
4. Infrastructure & Telemetry
This platform is built statically to ensure optimized loading times, security isolation, and privacy of execution:
- Hosting Layer: The site resides on Vercel/GitHub Pages, which may collect server-side logs to guarantee service availability and prevent malicious traffic (e.g., DDOS attacks).
- Privacy-First Telemetry: I utilize cookieless, non-intrusive analytical scripts to monitor user traffic volume. No personal profiles, cookies, IP records, or browsing patterns are recorded.
5. Data Portability & Rights
Under standard international privacy guidelines (including PDP / UU PDP in Indonesia, and GDPR frameworks), you retain total authority over any contextual data shared:
Right to Erasure
Request complete purge of correspondence history and scoping files.
Access & Review
Obtain details on what scoping metadata or logs exist regarding your query.
Zero Sale/Resale
Guarantee that no information shared is sold to third parties or marketing brokers.
6. Regulatory Commitment & Policy Lifecycle
As the legal and engineering realities of AI deployment continue to adapt globally, I maintain a regular evaluation cycle for this Policy. Any structural changes regarding my infrastructure, analytical stacks, or communication channels will be logged explicitly via the version date at the header of this page.
7. Communication & Inquiry Channel
If you require a formal NDA signature, need data logs erased, or have specific questions regarding operational data security on a current system pipeline, reach out directly:
Primary Inbox: aryanto.dandan@gmail.com
Professional Channel: linkedin.com/in/aryanto-ray
Operational Base: Indonesia (Global Remote Availability)