Industries
01
Student, faculty and admin portals with an assistant that answers routine queries.
- Next.js
- FastAPI
- PostgreSQL
- pgvector
- Gemini
The challenge
Admissions, timetables, fees and records are scattered across spreadsheets and inboxes, and staff spend their days answering the same questions again and again.
How I solve it
- →Role-based portals for administrators, faculty and students, so each person sees only what they need.
- →An assistant grounded in the prospectus, policies and FAQs (RAG) that answers routine student and parent queries and hands anything unclear to a person.
- →Automated admissions, attendance and notification workflows, with dashboards for enrolment and performance.
What changes
Fewer repetitive queries, faster administration and clear visibility for leadership, without adding headcount.
02
Appointments, patient records and clinic operations with strict role-based access.
- React
- Node.js
- RBAC
- Analytics
- Secure sessions
The challenge
Scheduling errors, paper records and unclear responsibilities slow clinics down, while patient data demands careful access control.
How I solve it
- →Role-based access for admins, doctors and receptionists, so every record is visible only to the people who should see it.
- →Appointment booking, patient records and staff management in one system, with real-time analytics on clinic performance.
- →A modular, service-separated backend with secure APIs and session management. Any AI is limited to administrative tasks and sits behind guardrails.
What changes
Fewer scheduling mistakes and less admin work. The same design cut scheduling errors by 55% and administrative scheduling workload by 50% in ClinicCare.
03
Order flow, inventory visibility and customer-support automation across channels.
- FastAPI
- React / Next.js
- PostgreSQL
- pgvector
- Gemini
The challenge
Orders, stock and customer conversations live in separate tools. Teams reconcile by hand, stock-outs surprise them and support costs rise with every sales peak.
How I solve it
- →A single order and inventory service so every channel reads the same source of truth.
- →A support assistant grounded in the product catalogue and return policy (RAG), with a clean hand-off to a human for anything uncertain.
- →Dashboards for demand, stock levels and support load, so decisions stop depending on spreadsheets.
What changes
Fewer stock-outs, less manual reconciliation and a support team that handles the exceptions instead of the repetition.
04
Workforce and resource planning, production tracking and operational reporting.
- React
- Redux Toolkit
- NoSQL DataStore
- CI/CD
- Docker
The challenge
Plans sit in spreadsheets, progress is reported late and nobody can see where people, machines or milestones are slipping until it is expensive.
How I solve it
- →Workforce and project dashboards with role-based views, from shop floor lead to plant manager.
- →Real-time sync across milestones, assignments and resource allocation, with alerts on slippage.
- →Automated operational reports so leadership reads a dashboard instead of waiting for a document.
What changes
Earlier visibility into delays and faster, lighter reporting. The same pattern lifted reporting efficiency by 45% in WorkForce360.
05
Role-based, auditable, policy-gated workflows with strict tenant isolation.
- FastAPI
- JWT
- Supabase
- RBAC
- LangGraph
The challenge
Every workflow must be auditable, access must be tightly controlled, and onboarding is slow because too much of it is still manual.
How I solve it
- →Strict tenant and role isolation: tenant-scoped JWTs plus database-level row isolation, so one client's data can never surface in another's.
- →Policy-gated approval pipelines that keep a human in the loop for consequential actions, with guardrails on every AI output.
- →Full traces and structured logs of prompts, tool calls and decisions, so every outcome can be explained afterwards.
What changes
Faster onboarding with a clear audit trail. The pattern cut manual onboarding effort by 70%, and a no-code page builder shortened deployment cycles by 80%.
06
Document-grounded assistants, approval pipelines and intake automation.
- pgvector
- LangChain
- LangGraph
- Gemini 2.5 Pro
- Evals
The challenge
Policies, forms and claims are document-heavy. Answers depend on reading the right clause, and approvals pass through many hands.
How I solve it
- →Retrieval-Augmented Generation over policy and process documents, so answers are grounded in the source text rather than guessed.
- →Stateful approval workflows (pending → dispatched → awaiting approval) with conditional routing and human checkpoints.
- →Evaluation sets and guardrails that measure answer quality and block unsupported output before it reaches a customer.
What changes
Quicker, more consistent answers and cleaner hand-offs, with AI that stays inside policy and can be measured.
07
Lean, right-sized systems with low running cost and no needless complexity.
- React
- Node.js
- Managed cloud
- RBAC
- Vercel / Railway
The challenge
There is no IT team and little budget. Admin work eats the owner's day and heavyweight software is both too costly and too complex.
How I solve it
- →Right-sized architecture on managed, pay-as-you-go cloud services, so running cost tracks real usage.
- →Automation of the repetitive jobs (scheduling, records, reminders and simple reporting) with an interface staff pick up quickly.
- →Clear ownership and hand-over: simple stack, documented, easy for the next developer to extend.
What changes
Lower running cost, fewer manual errors and a system the team can own, understand and extend.
How I solve it
- Identify the problem: Find where time, money and errors leak. Map the workflow, read the data and name the one metric that must move.
- Apply automation & AI: Automate the repeatable. Use AI where judgement is needed. Rules and workflows for the predictable, LLM agents and RAG for language and decisions, and a human approving anything risky.
- Resolve the major issues: Take the biggest risks first. Data isolation, access control, failure modes and cost hotspots are settled before they become expensive.
- Design the system: Architecture that fits the problem, not the trend. Services, data model, integrations and a cost model agreed on paper before any build.
- Design the process: The new way of working, end to end. Roles, approvals, hand-offs and fallbacks drawn out so people know exactly what changes.
- Design the experience: Interfaces people understand without training. Role-based screens and clear flows, so adoption needs no manual.
- Develop: Small increments, shipped often. Clean APIs, role-based access, guardrails and observability built in from the first release.
- Test: Prove it works before anyone relies on it. Functional and load tests, plus LLM evaluation sets for answer quality, task completion and regressions.
- Deploy & improve: Live, watched and getting better. Containerised CI/CD releases with tracing and logging, tuned for cost and efficiency from real usage.
Identify the problem
Find where time, money and errors leak.
Map the workflow, read the data and name the one metric that must move.
- Workflow mapping
- Data review
- Target metric
Identify the problem
Find where time, money and errors leak.
Map the workflow, read the data and name the one metric that must move.
- Workflow mapping
- Data review
- Target metric