HadiTechR&D
Engineering Discipline & Technical Notes

Engineering Principles & Notes

How we think about system resilience, deterministic intelligence, API security, and high-performance infrastructure software.

Research & Technology Interests

AI Application Architecture

Designing constrained reasoning pipelines that bind language models to concrete deterministic state schemas rather than free-form prompts.

Secure API Integration

Managing read-only bastion proxies, token vaults, and non-exportable cryptographic authentication keys for network devices.

Infrastructure & Network Automation

Declarative configuration models, pre-flight dry-run validators, and state drift reconciliation across heterogeneous multi-vendor fleets.

Containerized Architectures

Lightweight, air-gap-capable container images with minimal root footprints, deterministic build locks, and robust health monitoring.

High-Throughput Observability

Streaming telemetry ingestion with gNMI, structured syslog indexing, and time-series aggregation for instant incident recall.

Network Engineering Rigor

Deep grounding in BGP routing policies, EVPN-VXLAN encapsulation, Spanning Tree edge-cases, and optics telemetry.

Technical Articles

Engineering Notes & Research Briefs

Structured publications detailing technical findings, design trade-offs, and architecture decisions.

Architecture & Reliability
October 2026•6 min read

Why Infrastructure AI Must Be Deterministic, Explainable, and Human-Gated

Automating mission-critical network backbones requires verifiable reasoning. Why hallucination tolerance in infrastructure is zero, and how we design safety rails.

In consumer applications, generative AI hallucinating a minor detail is an acceptable trade-off for creativity. In carrier networks, enterprise data centers, and multi-tenant cloud fabrics, an unverified command or misattributed BGP state can induce a multi-hour regional outage.

At HadiTech, our core thesis is that infrastructure AI must never execute unbounded autonomous actions. Every hypothesis must be accompanied by the exact timestamped syslog records, interface CRC delta, or telemetry line from which the conclusion was derived.

By architecting AI agents as advisory companions rather than autonomous executors, we preserve the irreplaceable context and judgment of senior site reliability engineers while liberating them from repetitive correlation overhead.

Network Automation
September 2026•8 min read

Closing the Loop: Reconciling Intent vs. Operational State in Network Fabrics

Exploring how declarative configuration models interact with real-time hardware telemetry and transient physical errors.

Declarative network automation (IaC) has made immense strides with tools like NetBox, Ansible, and Terraform. However, the hardest problem in network engineering remains state drift under failure conditions.

When an optic degrades or a trans-oceanic fiber link experiences high latency, the declared intent remains valid, but the physical reality requires dynamic traffic shifting or dampening.

We are investigating architectures that continuously monitor the delta between declared intent and live operational state, feeding structured telemetry into local diagnostic pipelines before alerting human on-call engineers.

DevSecOps & Security
August 2026•5 min read

Zero-Trust Telemetry Ingestion: Securing Enterprise Device Credentials

Design principles for handling network device authentication, read-only SSH bastion proxies, and sanitizing customer IP space in telemetry feeds.

Network engineering tooling frequently requires privileged access to sensitive management VRFs. Security by design cannot be an afterthought retrofitted onto a completed product.

Our architectural requirements mandate that raw authentication secrets never reside in application frontend layers. All diagnostic probes operate through strictly scoped, read-only service accounts with cryptographic auditing of every command line emitted.

Furthermore, customer telemetry data must be sanitized locally before any prompt synthesis takes place, guaranteeing that private IP topology schemas and sensitive customer metadata never leak beyond secure perimeters.