Our Projects

AI systems, web platforms and data engineering — shipped for clients across four countries.

AI / LLM

LLM-Powered Support Bot

FinTech Startup — India

Autonomous customer support AI resolving 70% of tickets without human intervention, built on RAG over the company knowledge base.

Claude APIFastAPIReactSupabase

70% ticket deflection · 3-week delivery

Web Platform

B2B SaaS Dashboard

SaaS Company — Malaysia

Multi-tenant SaaS with role-based access, real-time analytics, white-label branding and five third-party integrations.

Next.jsPostgreSQLPythonAWS

2M+ data points processed daily

Data Engineering

E-commerce Data Pipeline

E-commerce Group — Korea

ETL pipeline ingesting from eight marketplaces into BigQuery with automated Looker dashboards for leadership.

PythonAirflowBigQueryLooker

8 data sources unified · 99.9% uptime

AI / LLM

AI Document Intelligence

Legal Firm — UAE

Document analysis that reads contracts, extracts key clauses, flags risks and answers queries over 10,000+ legal documents.

GPT-4LangChainPineconeNext.js

80% faster document review

Web Platform

Real-time Crypto Dashboard

Trading Platform — UAE

Live trading dashboard with WebSocket price feeds, portfolio analytics, alerting and custom charting at 50K events per second.

ReactWebSocketFastAPIRedis

50K events/sec · sub-50ms latency

AI Agent

Automated Lead Agent

Marketing Agency — India

AI agent that sources leads, scores them with an LLM, drafts personalised outreach and logs everything back to the CRM.

Claude APIPythonZapierCRM

5× lead throughput · 40% higher reply rate

What these builds have in common

Six projects, four countries, one pattern: each began as a problem someone could describe in a sentence and ended as a system running in production.

The AI work leans on retrieval rather than fine-tuning wherever the underlying knowledge changes, which is most of the time. The platform work is boringly conventional — Postgres, typed APIs, real migrations — because the interesting part should be the product, not the plumbing. The data work is measured on uptime, not on dashboards.

Client names are withheld under NDA. Architecture, stack decisions and the numbers below are shared with permission, and we are happy to walk through any of them in detail on a discovery call.

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