Healthcare
Clinic Operations Platform
A multi-branch clinic managing appointments, patient records and billing across disconnected registers and spreadsheets.
Selected Work
How we take a project from challenge to outcome
Each study follows the same honest structure: challenge, requirements, approach, architecture, technology, solution, outcome.
Challenge
Every branch kept its own registers; patients repeated their history at each visit, and management had no consolidated view.
Requirements
Central patient records, online appointment booking, branch-level reporting, role-based access for doctors and staff.
Approach
Requirement workshops with clinic staff, followed by incremental rollout — scheduling first, then records, then billing.
Architecture
Web application with a REST API core, PostgreSQL data layer, and a patient-facing booking portal.
Solution
A unified platform where every branch shares one source of truth for patients, schedules and billing.
Outcome
Representative outcome: reception workload reduced and double-bookings eliminated.
Retail / Distribution
Distributor Order & Inventory System
Orders arriving over phone calls and WhatsApp, with stock levels tracked manually at the end of each day.
Challenge
Field agents relayed orders by phone; stock counts lagged reality by a full day, causing missed and duplicate deliveries.
Requirements
Mobile ordering for field agents, live stock visibility, automated invoicing, integration with the existing accounting package.
Approach
We shadowed field agents to map the real ordering flow before designing a single screen; built mobile-first.
Architecture
Mobile app for agents, admin web dashboard, and a synchronization service integrating with accounting.
Solution
Orders flow from the field straight into inventory and invoicing without re-entry.
Outcome
Representative outcome: same-day order processing and accurate live stock counts.
Manufacturing
Factory Machine Monitoring (IoT)
A manufacturer discovering machine downtime only when production targets were already missed.
Challenge
Production logs were written by hand per shift; stoppages surfaced hours later in end-of-day reports.
Requirements
Live machine status, downtime alerts, shift-wise production reports, minimal changes to existing machinery.
Approach
Retrofit sensors on critical machines, stream data over MQTT, iterate dashboards with plant supervisors.
Architecture
Edge sensor nodes → MQTT broker → time-series store → real-time dashboard with alert rules.
Solution
A plant-floor dashboard showing live machine state, with instant alerts on stoppages.
Outcome
Representative outcome: downtime visible in seconds instead of hours.
Enterprise Services
Sales CRM on Salesforce
Leads arriving from web forms, events and referrals — with no single pipeline view across the team.
Challenge
Leads lived in personal inboxes; follow-ups depended on memory and management reporting was assembled by hand.
Requirements
Central lead capture, automated assignment, follow-up reminders, management dashboards.
Approach
Configured Salesforce around the team's existing vocabulary and stages, then automated the repetitive steps.
Architecture
Salesforce org with custom objects, assignment flows, and web-to-lead integration from the company site.
Solution
Every lead lands in one pipeline with clear ownership and automated follow-up nudges.
Outcome
Representative outcome: no leads lost between inboxes; management sees the full pipeline.
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