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Akamaar Dev
Portfolio

Selected Works

Enterprise ecosystems, operational modernization, and intelligent automation. Each project demonstrates our polyglot approach: the right tool for each layer.

Enterprise Ecosystem

TimePerch

Internal R&D / SaaS Product

In Development
Live

The Brief

Engineer a complete workforce analytics suite capable of offline operation and heavy data processing.

Key Metrics

  • 5-layer polyglot architecture
  • Zero data loss sync protocol
  • < 10MB RAM footprint

Architecture

1
Desktop Agent Rust (Tauri) + SvelteKit + SQLite

Ultra-lightweight, offline-first client

2
Sync Engine Go

High-concurrency synchronization between local SQLite and cloud

3
Reporting Core FastAPI + Celery + Pandas

Asynchronous report generation and data aggregation

4
Dashboard SvelteKit

RBAC admin panel for business owners

5
Infrastructure Supabase

Centralized Auth, Database, and Storage

Operations Modernization

FieldOps Dispatch

Gas Weiss Plumbing & Heating (UK)

Deployed

The Brief

Eliminate manual dispatch inefficiencies and lack of fleet visibility for a commercial plumbing firm.

Key Metrics

  • 50% reduction in admin labor
  • Real-time fleet visibility
  • CRM integration

Architecture

1
Platform SvelteKit + Supabase

Smart Engineer Dispatch Dashboard

2
Backend Logic FastAPI

Dispatch rules and Commusoft CRM integration

3
Automation Python (GPS Analysis)

Auto-classifies 50% of engineer logs using geofencing

Data Intelligence

TrendScope

Financial Analysis Sector

Deployed
Live

The Brief

Aggregate and visualize global economic sentiment in real-time.

Key Metrics

  • Real-time sentiment scoring
  • Custom NLP pipeline
  • Automated data aggregation

Architecture

1
AI Engine Distilled FinBERT

Financial headline sentiment analysis

2
Pipeline FastAPI + Celery

Processing thousands of headlines daily

3
Interface SvelteKit

Global Sentiment vs Regional Trends dashboard

Intelligent Automation

InfraWatcher

Internal Tool / Client Service

In Development
Live

The Brief

Proactive outage detection system with LLM-powered contextual client notifications.

Key Metrics

  • Detects outages before official status updates
  • LLM-generated contextual alerts
  • Zero false positives

Architecture

1
Monitor Python + FastAPI

Scrapes public status pages (AWS, Stripe, GitHub, etc.)

2
Mapping Engine PostgreSQL

Maps services to specific client projects

3
LLM Integration OpenAI API

Generates contextual, project-specific notification emails

4
Dashboard SvelteKit

Real-time status visualization and incident history

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