Skip to content
Currently available — for the right work·France903+ Day French Streak·2026 Q2 calendar — open now
Part of ELOEmbedded Logic Operations · Designer + lead engineer
↩ Projects · Multi-year · Multi-tenant
In production · on Anygum · Designer + lead engineer · Dhaka

Elobooks

Elobooks.net is ELO's multi-tenant SMB bookkeeping product — designed end-to-end in Figma and engineered with multi-tenancy from day one. It runs as a consumer of Anygum/Cloudsight: single auth, org RBAC, multi-instance access for different teams, telemetry, and the shared payment funnel for consumption.

Role
Designer + lead engineerengineering
Period
Multi-yearcompleted
Stack
SaaSMulti-tenancy · RBAC · Anygum
Location
DhakaSMB bookkeeping
DEFRBDUKCA
01 · What it is

What it is

  • Working bookkeeping SaaS at elobooks.net — not a prototype.
  • Consumes Anygum/Cloudsight for identity, org controls, multi-instance isolation, telemetry, and consumption payment rather than owning a parallel auth stack.
  • Designed end-to-end in Figma — IA, flows, components, brand — then engineered with multi-tenancy from the first migration.
02 · What I did

What I did

  • Designed the entire product in Figma — IA, flows, components, brand.
  • Architected multi-tenancy so Elobooks instances map cleanly onto Anygum's org and instance permissions.
  • Orchestrated CI/CD pipelines leveraging GitHub CI and Nx monorepo, deploying to EC2, Lambda, and S3 with secure secrets management.
Performance Metrics

By the numbers.

Anygum
Platform consumer
RBAC
Org + instance
Figma
End-to-end design
Collaborate

If we worked together.

I bring high-leverage product engineering and absolute operational discipline: shipping weekly, pressure-testing user inputs, and automating delivery pipelines.

Visit project

See it in the wild.

This case study covers how Elobooks was built — these links open what ships today: the live product, repo, demos, and supporting material.

Next case study

Singistic

Cross-platform video & karaoke social platform serving 10,000+ active users, engineered using Flutter. Features AI-powered vocal/instrument separation pipelines to generate karaoke tracks from licensed masters, sub-50ms native audio-video playback sync, AirPlay/Chromecast integration, and automated serverless/EC2 media transcoding queues for processing user recordings cost-effectively at scale.