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Muhammad MonirFull Stack Developer & AI Expert
AIB2B SaaS / Data3 Weeks Build

DataSense AI — Executive Analytics & Automated Copilot

Decreased weekly executive report generation time from 14 hours to 90 seconds.

Client & MarketDataSense Analytics
My RoleFull Stack & AI Engineer
Timeline3 Weeks Build
Backing SupportSoftvence Agency
https://app.datasense-ai.io

DataSense AI

Production Architecture • Next.js & PostgreSQL

Status: Active System
Report Generation Time
90 Seconds
Weekly Hours Saved
14 hrs/exec
Data Connectors Built
18 Connectors
Internal Satisfaction
4.9 / 5.0
Core Modules Implemented
Natural Language to SQL Query Generator with Safety Sandbox
Automated Monday Morning Executive Summary Emails
Interactive Chart Exports to PDF and Presentation Decks
Vectorized Metric Dictionary for Business Terminology
01. The Challenge

The Problem & Bottlenecks

“B2B SaaS leadership was drowning in disparate SQL queries, Google Sheets, and Stripe revenue logs to compile weekly board reports and cohort analyses.”
02. Engineering Solution

How We Designed & Built It

Designed an automated BI copilot that connects to Stripe, PostHog, and PostgreSQL databases, generating executive summaries and visual charts on demand with natural language queries.

System Architecture & Key Technical Decisions

Python FastAPI microservice handles semantic embedding and query execution, while Next.js powers the reactive dashboard. Guardrails prevent non-read-only queries and strictly sanitize database operations.

03. Delivered Capabilities

Key Features in Production

Natural Language to SQL Query Generator with Safety Sandbox
Automated Monday Morning Executive Summary Emails
Interactive Chart Exports to PDF and Presentation Decks
Vectorized Metric Dictionary for Business Terminology
04. Client Endorsement
Verified Upwork Project

“The speed and code quality were on par with senior Silicon Valley developers. We closed our seed round using data dashboards that Monir's team built.”

👤
David Chen

Technology Stack

Next.jsFastAPIPythonPostgreSQLpgvectorOpenAI & GeminiFramer MotionTailwind

Quantifiable Results

Report Generation Time90 Seconds
Weekly Hours Saved14 hrs/exec
Data Connectors Built18 Connectors
Internal Satisfaction4.9 / 5.0

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