Blim
blimtechnologies
BLIM
blimtechnologies

Engineering Perspectives & Industry Insights

Deep dives into software architecture, AI integration, cloud scalability, and lessons learned building production-ready systems across industries.

Featured Article 6 min read

Building AI-Powered Systems That Scale: Lessons from Enterprise LLM Integration

A deep dive into architectural patterns for embedding Large Language Models (LLMs), vector databases, and semantic search into enterprise software without incurring latency bottlenecks.

By Michael Henshaw (AI Engineer & Founder)August 2026
AI & ML 6 min read

Building AI-Powered Systems That Scale: Lessons from Enterprise LLM Integration

A deep dive into architectural patterns for embedding Large Language Models (LLMs), vector databases, and semantic search into enterprise software without incurring latency bottlenecks.

Michael HenshawRead
Product Engineering 5 min read

Sub-Second Verification: How We Architected JAV for High Concurrency

How we built Just Attend Virtually (JAV) to verify thousands of simultaneous check-ins in under a second using Redis edge caching, sub-second FastAPI routines, and PostgreSQL indexing.

Goodnews AnwanaRead
Fintech & Cloud 7 min read

Modernizing Financial Microservices: Zero-Downtime Cloud Migration

Strategies for transforming monolithic legacy banking and payment environments into containerized Kubernetes microservices with 99.99% uptime and zero data loss.

Emmanuel RaymondRead
Healthcare 5 min read

HIPAA & Data Compliance in Modern MedTech Software Architecture

Essential architectural considerations for securing sensitive Electronic Health Records (EHR), implementing AES-256 encryption at rest, and designing RBAC for healthcare platforms.

Blim Tech EngineeringRead
E-Commerce 4 min read

Headless E-Commerce & High-Frequency Traffic: Engineering for Holiday Spikes

Why decoupling frontend storefronts from backend commerce engines prevents server crashes and preserves cart conversion during high-volume sales events.

Blim Tech EngineeringRead
AgriTech & IoT 6 min read

IoT Data Pipelines in Agriculture: Turning Sensor Data into Predictive Models

Ingesting remote telemetry from field sensors, processing streaming time-series data, and delivering actionable soil and crop yield insights to agribusiness leaders.

Michael HenshawRead