Work & Case Studies

Production Systems & Real Outcomes

A curated archive of government data pipelines, multi-agent AI systems, and decentralized state machines.

All Work (3) Data & Government AI & Multi-Agent Distributed Systems & Web3

Nashaat

DEPLOYED · 2024

Qatar Ministry of Education / IMS

Ministerial analytics and automated reporting pipeline across 100+ schools in Qatar.

Problem

Over 100 schools submitted heterogeneous quarterly evaluation surveys across disconnected formats. Central ministry administrators faced 4 weeks of manual spreadsheet aggregation per reporting cycle, resulting in data entry discrepancies, delayed strategic oversight, and zero real-time cohort visibility.

Solution & Architecture

Architected an automated ETL pipeline with Arabic text normalization, scheduled asynchronous batch processing, robust validation schemas, and real-time dashboard APIs. Aggregates multi-school metrics across thousands of data points into instant executive visual analytics and exportable compliance reports.

Grounded Measurable Outcomes

Reduced ministerial reporting turnaround from 4 weeks of manual tabulation to under 3 minutes.
Eliminated data entry discrepancies with 100% schema validation across 100+ participating educational institutions.
Built automated PDF/Excel executive summary generation utilized directly by regional education directors.

BrandMinder

LIVE · 2025

Internal Product & SaaS Platform

Autonomous multi-agent intelligence platform monitoring brand sentiment across live Arabic & English feeds.

Problem

Modern brand and PR teams lack automated mechanisms to monitor reputation shifts across scattered social feeds, forums, and press releases. Manual tracking misses rapid PR crises, and off-the-shelf sentiment analyzers perform poorly on Arabic nuances and regional slang.

Solution & Architecture

Built an asynchronous multi-agent pipeline orchestrating distributed scraping workers, message deduplication, LLM-based sentiment scoring, contextual categorization, and real-time crisis alerting via Webhooks and WhatsApp/Slack notifications.

Grounded Measurable Outcomes

Processed 25,000+ brand mentions across 15+ monitored channels with automated triage.
Achieved 94.2% sentiment classification accuracy on internal evaluation set with custom Arabic normalization heuristics.
Achieved 98.6% categorization accuracy on validation dataset using two-tiered prompt validation chains.

Python Django Celery Redis OpenAI / Claude APIs PostgreSQL TailwindCSS WebSockets

Deep-Dive Case Study →

Sawtak

OPEN SOURCE · 2024

Independent AppChain & Research

Decentralized complaints and transparent governance AppChain built on Cosmos SDK with Tendermint BFT.

Problem

Centralized grievance and civic feedback systems suffer from single points of failure, administrative tampering risks, lack of auditability, and zero tamper-evident proof of resolution for citizens.

Solution & Architecture

Engineered a sovereign Application-Specific Blockchain (AppChain) utilizing the Cosmos SDK framework. Implements deterministic state machine transitions, custom governance modules, cryptographic role-based access, and transparent complaint lifecycle verification.

Grounded Measurable Outcomes

Benchmarked sub-second block finality under simulated 500 TPS load in local multi-validator testnets.
Engineered tamper-proof cryptographic resolution proofs verified against Tendermint consensus state.
Architected modular Go cosmos-sdk handlers with clean gRPC and REST gateway abstractions.