Enterprise Software Engineering Capabilities

Hoang Khang designs, builds, and operates custom software for organizations: core systems, internal workflows, SaaS platforms, AI enablement, and secure production operations.

We work as a long-term engineering team: understand the business context, design the architecture, deliver in controlled phases, and hand over systems that can scale.

CORE CAPABILITIES

Four Core Capability Areas

From domain-specific software to platform operations, controlled AI enablement, and secure system engineering

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Custom Software Development

Analysis, architecture, and system development aligned with the organization’s real operating model

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SaaS Platform

Multi-tenant platform architecture for subscription, access control, billing, and production operations, informed by HK-owned platforms such as HKSpace and Yolius

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AI Knowledge Platform

RAG, LLM, semantic search, and controlled workflow automation integrated into internal systems or digital products

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Security & Controls

Security architecture, access control, audit logs, data protection, and risk controls tailored to business context

CUSTOM SOFTWARE

Custom Software Development

Custom software delivery with disciplined sprint governance

Structured Delivery Process

Projects are organized by sprint, with clear plans, review points, acceptance criteria, and progress visibility for stakeholders.

Transparency Commitment

Sprint Planning: Sprint kickoff to define scope, priorities, risks, and acceptance criteria
Daily Updates: Progress, blockers, and coordination points tracked through project tools
Sprint Demo: Stakeholders review working increments and confirm acceptance criteria
Code Quality: Code reviews, automated testing, CI/CD
Full Visibility: Visibility into backlog, source control, delivery status, and open risks

Controlled delivery cycle

SCRUM Development Cycle

Short cycles with client participation to keep the system aligned with operating goals.

Discovery

Goals, workflow, data

Architecture

Scope, APIs, security

Sprint build

Design, code, review

Validation

Demo, UAT, quality

Operations

Release, support, improve

Project governance, progress visibility, and quality control

Technology & Delivery Platform

Full-stack development with technology choices matched to product stage, maintainability, and operations.

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web

Frontend & Mobile

React Vue Next.js React Native Flutter TypeScript

storage

Backend & API

Node.js Python Java Go FastAPI NestJS

database

Database & Cache

PostgreSQL MongoDB Redis Elasticsearch Pinecone

cloud

Cloud & DevOps

AWS GCP Azure Kubernetes Docker Terraform

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AI & Machine Learning

OpenAI GPT-4 Claude LangChain TensorFlow PyTorch

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Security & Controls

OAuth 2.0 JWT Encryption OWASP Zero Trust

10+ tech categories with frameworks and tools selected for real production requirements

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AI SOLUTIONS

AI Knowledge Platform

NLP, RAG, and LLM integration on a controlled data and governance foundation.

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Modern AI Foundation

Built from the ground up with knowledge ingestion, semantic storage, intelligent routing and secure governance.

check_circle Knowledge Ingestion: connectors, OCR, extraction, chunking with token budgeting
check_circle Vector Search: hybrid semantic + keyword (BM25), metadata filters, re-ranking
check_circle LLM Routing: multi-provider, cost/speed capabilities, fallbacks, function calling
check_circle RAG Pipeline: retrieval, context assembly, generation, citations
check_circle Security & Policy: RBAC/ABAC, PII scrubbing, guardrails, audit logs
check_circle Observability: latency/cost tracking, evaluation, A/B experiments

AI Capabilities We Deliver

From data intake to retrieval, answer generation, and operational control.

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Knowledge Ingestion

Connectors, extraction, OCR, semantic chunking, metadata management

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Vector DB & Search

Weaviate/Pinecone/PGVector, hybrid search, metadata filters, re-rank

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LLM Routing & Serving

Multi-provider routing, function calling, streaming, prompt management

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RAG Pipeline

Query expansion, retrieval, context assembly, generation, citations

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Security & Policy

RBAC/ABAC, PII scrubbing, toxicity filters, audit logging, cost control

monitoring

Observability

Latency & cost tracking, evaluation, A/B testing, guardrails

Reference Tech Stack

Ingestion: Python (LangChain/LlamaIndex) workers • Vector DB: Weaviate/Pinecone/PGVector • LLM: OpenAI/DeepSeek/Claude + local (Llama/Ollama) • Backend: FastAPI/Node.js • Observability: Langfuse/Prometheus • Streaming: SSE/WebSocket.

Example AI Processing Flow

input Receive user query

rule Classify via specification layer

fork_right Route to the right engine (LLM, RAG, SQL, Hybrid)

precision_manufacturing Execute: retrieval + reasoning + generation

outbox Return answer with citations and confidence

How the AI Knowledge Platform works

From data intake to retrieval, generation, and safe operation.

Foundation modules

check_circle Knowledge Ingestion: connectors, OCR, extraction, chunking with token budgeting
check_circle Vector Search: hybrid semantic + keyword (BM25), metadata filters, re-ranking
check_circle LLM Routing: multi-provider, cost/speed capabilities, fallbacks, function calling
check_circle RAG Pipeline: retrieval, context assembly, generation, citations
check_circle Security & Policy: RBAC/ABAC, PII scrubbing, guardrails, audit logs
check_circle Observability: latency/cost tracking, evaluation, A/B experiments

Processing flow

Receive user query

Classify via specification layer

Route to the right engine (LLM, RAG, SQL, Hybrid)

Execute: retrieval + reasoning + generation

Return answer with citations and confidence

SAAS PLATFORMS

Enterprise SaaS Platform

Multi-user SaaS platform design for access control, billing, security, operations, and staged growth.

Design and Operate Scalable SaaS Platforms

Multi-tenant architecture with access control, service plans, data isolation, payment integration, and operating visibility.

From architecture, development, and security to deployment and staged scaling.

Discuss Scope View Projects

End-to-End Delivery

Architecture, development, security, payments, operations, and scaling layers are designed together.

Experience From Owned Platforms

HKSpace and Yolius give Hoang Khang practical experience with multi-user, multi-role, and multi-workflow platform design.

Scalable Architecture

Modular design, clear data boundaries, and access control allow the platform to evolve with business needs.

SaaS Operating Layers We Build

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Design

Architecture, wireframes, data models, tech planning

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Development

Sprint-based delivery, code review, CI/CD

bug_report

Testing

QA, performance testing, security scanning

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Deployment

Production release, monitoring setup

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Flexible Scaling

Auto-scaling infrastructure, multi-region deployment, load balancing, CDN integration

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Operational Support

Support aligned to SLA scope, incident handling, regular updates, and patches

verified_user

License Management

Flexible licensing models, subscription management, feature toggles per tier, usage tracking

payment

Payment Integration

Stripe, PayPal, multiple currencies, invoicing, billing cycle automation, tax handling

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Third-party Integrations

Webhooks, REST APIs, OAuth, collaboration tools, CRM systems, and business platforms

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Enterprise Security

SSL/TLS encryption, OAuth 2.0, role-based access control, audit logging, penetration testing

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Data Management

Multi-database support, backup and disaster recovery, data residency, and privacy principles

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Monitoring & Analytics

Real-time dashboards, system health monitoring, user analytics, performance metrics

How We Operate SaaS Platforms

Architecture-led technology choices

Technology is selected around architecture, maintainability, operations, and the expected growth path.

SaaS operating experience

Experience with multi-tenant architecture, access control, billing flows, data isolation, and production platform operations.

Cross-domain delivery context

Project experience across education, logistics, manufacturing, SaaS, retail, and business operations.

SECURITY & CONTROLS

Security & Controls

Security architecture, access control, and data governance aligned to enterprise operating requirements.

ISO/IEC 27001, SOC 2, GDPR, and PCI DSS used as references when required by scope

Enterprise Security

SSL/TLS encryption, OAuth 2.0, role-based access control, audit logging, penetration testing

Data Management

Multi-database support, backup and disaster recovery, data residency, and privacy principles

Monitoring & Analytics

Real-time dashboards, system health monitoring, user analytics, performance metrics

Support

Operational support, optimization, and staged scaling

Control Highlights

check_circle Encryption: SSL/TLS, end-to-end encryption
check_circle Authentication: OAuth 2.0, JWT, multi-factor authentication
check_circle Authorization: RBAC/ABAC with fine-grained controls
check_circle Reference frameworks: GDPR, HIPAA, SOC 2, ISO/IEC 27001 when relevant
check_circle Audit & Monitoring: Complete audit trails, real-time monitoring
check_circle Incident Response: 24/7 monitoring and incident response team

ENGAGEMENT MODELS

Engagement Models

Flexible options for various business needs

MVP Development

Rapid MVP in 4-8 weeks. Test market assumptions, gather user feedback.

4-8 weeks

Fixed Project

Fixed scope, timeline, and price. Suitable for well-defined requirements.

4-16 weeks

Dedicated Team

Full dedicated team for your project. Long-term commitment, product-focused.

6+ months

Support & Scaling

Post-launch support, optimization, maintenance, adding features.

Ongoing

Consulting

Architecture, strategy, technology guidance. CTO-as-a-service.

Flexible

Team Augmentation

Add developers to your team. Flexible duration, you remain Product Owner.

Flexible