Based in Mauritius · Built for SMEs

Business systems, APIs ek AI tools lor mezir pou bann SME.

Mo ed bann SME gagn mwens keksoz pou fer manyelman, gard zot operations pli organize ek servi AI dan enn fason pratik — san gro budget ou depann lor enn fourniser.

Get servis → Kontakte mwa

Senior IT Consultant · 5+ an lexperyans · BSc & MSc, University of Mauritius

workflow-analysis

Teknolozi ki mo servi

Python

FastAPI

Streamlit

PostgreSQL

SQLite

REST APIs

Docker

LLMs / RAG

CLI Tools

Data Pipelines

Ki mo build

internal-tools

Internal business tools

Custom tools pou devi, inventory, booking, reporting, document tracking ek daily operations.

backend-apis

Backend APIs

REST APIs ek backend services ki kapav konek avek PowerApps, Power Automate, Excel, dashboards ou lezot internal tools.

data-reporting

Data & reporting

Netway bann CSV/Excel messy, organize data ek build dashboards/reporting pou gagn enn pli bon vizion lor operations.

websites

Business websites

Websites sinp ek profesyonel pou donn ou business enn bon online presence ek fer dimounn fasil kontakte ou.

knowledge-search

Knowledge & search systems

Document search, RAG-style retrieval, internal knowledge bases ek searchable repos.

monitoring

Monitoring tools

Ti systems ki track public/internal data sources ek expose structured information.

Servis

Kadre, pratik, pa konplike.

Custom business systems

Systems lor mezir adapte avek workflow ki ou business deza ena — depi database ziska frontend. Build pou bann SME ki anvi keksoz pratik ki vremem adapte avek zot operations.

Inventory management Devi & invoicing Booking & scheduling Customer management Document tracking Operational dashboards

Kadre pou seki ou business vremem bizin. Pa pou met features an tro — zis sistem ki rezoud problem la.

Technical consulting & architecture

Guidance lor architecture, tech stack, infrastructure ek technical decisions avan ou invest dan enn system.

System architecture reviews Technology stack selection Migration planning Infrastructure recommendations Technical due diligence Performance audits

Travay consulting ek planning. Development kadre ek sifre separeman si ou desid pou kontinie.

Backend APIs & integrations

Backend services ek APIs ki konek ou bann tools ansam, automate transfer data ek expose information kot bizin.

REST APIs Database-backed services CSV/Excel import & export API documentation Webhook endpoints Integration avek ou bann tools

Mo build backend/API layer la. Client res responsab zot PowerApps, Power Automate, Excel ou lezot low-code tools.

Data cleanup & reporting

Transform bann CSV/Excel messy an datasets prop ek organize pou reporting, dashboards ek internal systems.

Deduplication Standardization Reporting exports Operational dashboards Internal analytics Lead scoring pipelines

Mo organize ek netway data la. Data entry ek maintenance kontini res avek ou team.

AI tools & automation

Practical AI tools ki fer ou team gagn letan — pa zis buzzwords, me keksoz ki vremem itil dan operations toulezour.

Document classification & extraction Internal knowledge search (RAG) AI-assisted data entry Automated report generation Intelligent workflow routing Custom AI agents pou business tasks

Build otour ou vre workflows. Mo scope seki AI kapav ek pa kapav rezoud dan ou case avan mo build nanye.

Lightweight business websites

Simple professional websites pou donn ou business enn proper online presence ek fer dimounn fasil kontakte ou.

Static website Contact links Bouton WhatsApp Business/service info Hosting setup

Focus lor design, structure ek hosting — marketing ek ad campaigns zere separeman par client.

Kouma mo travay

Depi premie konversasyon ziska system livre.

Dekrir problem la

Ou dir mwa ki process pe fer dimal — manual data entry, spreadsheets partou, dashboard ki manke, ou enn system ki pankor existe.

Mo scope system la

Mo defini ki pou build, bann deliverables, stack ek timeline. Ou gagn enn propozisyon ekri kler avan nanye koumanse.

Build & iterate

Mo build par ti cycles avek check-ins regilye. Ou trouv progress, donn feedback, ek system la pran form otour ou vre needs.

Delivery avek documentation

Ou gagn system fini, documentation ek tou seki bizin pou run ek maintain li ou-mem.

Systems built

11K+

Records processed

Data pipelines

855

Documents indexed

Ki mo fer / ki mo pa fer

Pou gard keksoz kler depi koumansman.

Ki mo fer Pa dan mo scope

Custom tools pou ranplas manual processes Social media management

Dashboards & reporting pou ou operations Facebook ou Google ads

AI tools ki fer ou team gagn letan Branding ou graphic design

Data cleanup, structuring & pipelines SEO campaigns ou ad management

APIs & system integrations RPA bot development

Technical architecture & consulting PowerApps / Power Platform maintenance

Custom tools pou ranplas manual processes

Pa: Social media management

Dashboards & reporting pou ou operations

Pa: Facebook ou Google ads

AI tools ki fer ou team gagn letan

Pa: Branding ou graphic design

Data cleanup, structuring & pipelines

Pa: SEO campaigns ou ad management

APIs & system integrations

Pa: RPA bot development

Technical architecture & consulting

Pa: PowerApps / Power Platform maintenance

Mo focus lor systems, tools ek backend software — pa marketing ou low-code maintenance.

Systems & travay teknik seleksyone

Vre systems pou vre problems — data pipelines, monitoring tools, legal tech ek AI automation.

Problems ki mo rezoud

Ranplas workflow ki depann tro lor spreadsheets
Sentralize bann process ki fragmente
Build internal business tools
Expose clean APIs
Transform messy data an information itilizab

KotMoKouran

$ python -m app fetch ceb --district plaines-wilhems
  Fetching CEB outage data...
  District: Plaines Wilhems
  ┌─────────────────────────────────────────┐
  │ ACTIVE OUTAGE                           │
  │ Locality: Rose Hill                     │
  │ Streets:  Rue St-Jean, Ave Berthaud     │
  │ Period:   08:30 — 15:00                 │
  │ Status:   active                        │
  └─────────────────────────────────────────┘
  3 active | 2 upcoming | 5 cleared today

KotMoKouran

Power Outage Monitoring System

A monitoring system that collects CEB outage data for Mauritius, normalizes it into a structured format, and makes it easy to query by district, locality, and status. Built for teams that need reliable visibility into planned and active outages — not scattered social posts or manual checks.

Ki sa delivre

Real-time outage tracking
Public utility data aggregation
Monitoring and reporting
Built specifically for Mauritius

CEB Site

Scraper

Parser

Normalizer

Structured Data

MonitoringPublic DataMauritiusPython

Python63% TypeScript28% Shell4% PowerShell3% JavaScript1%

Get lor GitHub

ClientList

$ python -m clientlist pipeline --score --export
  Source: SME e-Directory (Mauritius)
  Scraped:      11,247 raw records
  Normalized:   11,103 cleaned
  Deduplicated:  9,831 unique businesses
  Scored:        2,143 high-priority leads
  Validated:     1,876 with working websites
  Exported: clients_scored.csv (9,831 rows)
  Exported: high_priority.json (2,143 leads)

ClientList

Mauritius SME Intelligence Platform

An end-to-end data pipeline that turns the national SME e-Directory into outreach-ready business intelligence. Scrapes raw records, cleans and deduplicates them, validates websites, scores leads by priority, and exports structured CSV/JSON for sales, research, or internal CRM import.

Ki sa delivre

11,000+ businesses processed
Data cleaning & deduplication
Lead scoring & segmentation
Website validation
CSV & JSON exports

SME Directory

Scraper

Normalizer

Dedup

Scorer

CSV/JSON

PythonData EngineeringCLILead Scoring

Python96% HTML2% Shell2% Makefile0%

Get lor GitHub

MorisLex-Engine

$ python -m app.services.engine_main --run full
  Sources:
    Laws of Mauritius   ✓  412 documents
    SAFLII Mauritius    ✓  287 judgments
    National Assembly   ✓  156 bills
  Pipeline: fetch → extract → classify → dedup
  New: 23 | Updated: 7 | Unchanged: 825
  Total corpus: 855 documents

MorisLex Engine

Mauritius Legal Knowledge Platform

A configurable legal data platform that ingests Mauritian legislation, judgments, and parliamentary content from multiple public sources. Uses adapter-based scraping, classification, and deduplication to maintain a structured corpus — with a Streamlit interface for operations and exports ready for search or RAG downstream.

Ki sa delivre

Built searchable legal corpus
Automated legal data ingestion
Configurable scraping engine
CSV/YAML-driven configuration
Streamlit management interface
RAG-ready outputs

Legal Sources

Adapters

Extractor

Classifier

Dedup

Corpus

PythonScrapingLegal DataStreamlit

Python95% Makefile2% Shell2% Jinja1% Dockerfile0%

Get lor GitHub

MorisLex-Rag

$ python -m app query "data protection employer obligations"
  Retrieving from 855 indexed documents...
  Model: all-MiniLM-L6-v2 | Top 3 results
  [0.94] Data Protection Act 2017 — Section 28
         "An employer processing personal data shall..."
  [0.87] DPA 2017 — Section 36(1)
         "Data controllers must implement appropriate..."
  [0.81] Employment Rights Act — Section 13A
         "No employer shall require an employee to..."

MorisLex RAG

Semantic Legal Search & RAG System

A retrieval-augmented generation layer on top of the MorisLex legal corpus. Chunks and embeds documents, indexes them for semantic search, and answers natural-language questions with cited sources — useful for compliance research, internal legal Q&A, or policy teams that need fast answers without reading hundreds of pages.

Ki sa delivre

Semantic legal search
Retrieval-Augmented Generation (RAG)
Document indexing & embeddings
Natural language querying
Private knowledge base architecture
AI-assisted legal retrieval

Engine Corpus

Chunker

Embedder

Vector Store

Retriever

LLM

RAGLLMSearchEmbeddingsLegal Tech

Python82% Shell15% Makefile3% Dockerfile1%

Get lor GitHub

Agentic-Poc

$ python -m agentic run --workflow document-review
  Workflow: Document Review Automation
  Agents:  3 (classifier, extractor, validator)
  Step 1/4  Classify incoming documents    ✓
  Step 2/4  Extract structured fields      ✓
  Step 3/4  Validate against schema        ✓
  Step 4/4  Route to review queue          ✓
  Processed: 48 documents in 12.3s
  Accuracy:  94.2% (validated against manual)

Agentic-Poc

Agentic AI Initiative

An agentic AI proof of concept pitched internally and adopted at center level. Designs multi-step workflows where specialized agents classify, extract, and validate documents — demonstrating how SMEs and enterprise teams can move from manual review to orchestrated AI automation with measurable accuracy.

Ki sa delivre

Concept pitched internally
Adopted at center level
AI enablement focus
Cross-team collaboration
Multi-agent workflow orchestration
Document review automation

Workflow

Agent Config

Orchestrator

Validation

Output

Agentic AIPoCAI EnablementSolution Design

Python100% JavaScript0%

Get lor GitHub

Lor mwa

Yash Djson Dookun

Senior IT Consultant · Mauritius

Mo enn Senior IT Consultant avek plis ki 5 an lexperyans dan enterprise consulting ek software development. Mo ena enn BSc in Web & Multimedia Development (First Class Honours) ek enn MSc in Network Security & Management depi University of Mauritius.

Dan mo travay toulezour, mo design, build ek integre custom software solutions. Anplis sa, mo build bann practical systems pou SMEs dan Moris — internal tools, APIs, data pipelines ek AI automation ki ed ti business operate pli efisaman san gro budget.

Mo travay indepandaman lor sa bann proze la — direct communication, zero intermedier, ek mo pran sarz konpletman depi scoping ziska delivery.

[email protected] +230 5752 2027 GitHub LinkedIn

Kouma mo travay

Scope kler avan build

Defini deliverables ek limits depi koumansman.

Simple architecture over complexity

Pa over-engineer. Rezoud vre problem la.

Maintainable systems

Kod ki enn lot dimounn kapav konpran ek extend.

Documentation included

Sak system ship avek documentation, pa zis kod.

Build pou low maintenance

Systems ki roule san atansyon konstan.

Mo prefer build bann systems sinp ek bien scope ki rezoud bann real operational problems — pa bann overcomplicated enterprise software.

Bann kestion kouran

Repons onet. Pa sales pitch.

Konbien enn proze koute normalman ?

Sa depend lor scope, me laplipar proze SME tom ant Rs 15,000–80,000. Enn sit sinp ou data cleanup tool li dan ba range la. Enn full inventory system ou AI tool li dan lao. Mo toultan scope ek quote avan start travay — zero sipriz.

Konbien letan sa pran ?

Laplipar proze pran 2–6 semenn. Enn basic website kapav fini dan mwens ki enn semenn. Enn full business system avek plizir features pran normalman 3–5 semenn. Mo travay par ti cycles pou ou kapav trouv progress partou, pa zis alafen.

Mo pa technical — eski sa enn problem ?

Non. Laplipar dimounn mo travay avek pa technical. Ou explik problem la dan ou fason — "nou track tou dan enn spreadsheet ek sa enn dezord" — ek mo translate sa an enn system ki kapav mars.

Eski mo bizin prepar keksoz avan nou koumanse ?

Zis enn lide kler lor problem ki ou anvi rezoud. Si ou ena sample spreadsheets, documents ou screenshots ou current process, sa ed. Me mo kapav osi ed ou defini scope la dan nou premie konversasyon.

Eski ou kapav travay avek bann tools ki nou deza servi ?

Wi. Si ou deza servi Excel, Google Sheets, WhatsApp ou lezot software avek enn API, mo kapav normalman build keksoz ki konek ar li. Mo pa pou demann ou zet seki pe mars — mo build otour.

Ki arive apre delivery ?

Sak proze ship avek documentation ek handover. Si keksoz kas dan premie mwa, mo fix li san extra cost. Apre sa, mo ofer ongoing support case by case — me lobzektif se build systems ki mars san bizin mwa.

Kifer pa zis servi enn off-the-shelf tool ?

Si enn standard tool kapav fer travay la bien, servi li. Me boukou SMEs realize ki zot workflow pa rant prop dan bann generic tools, ek zot fini retourn lor spreadsheets. Se la kot custom systems gagn sans.

Ki arive si scope la sanze an milye semin ?

Sa arive. Ti adjustments zot normal ek expected. Si scope la grandi bokou, mo flag li, re-scope ek quote travay siplemanter avan kontinie. Personn pa gagn sipriz.

Kontakte mwa

Si ena enn workflow, spreadsheet ou process ki pe vinn messy, anou koze.

GitHub

Explik mwa problem la → Get GitHub