Operations · AI Deployment · Systems Builder

MohamedBah

I close the gap between strategy and production. I build AI pipelines, operational engines, and revenue-aware systems that turn business cases into deployed infrastructure.

0%
Auto-Resolution Rate — Intercom Fin AI
0+
Manual Hours Eliminated Monthly
0+
Years in B2B SaaS Operations
0+
Distributed Contractors Managed
01

Work

Live Product
DD
AI

Featured Build · Claude API · Vercel

Deal Desk AI

Post-call intelligence for GTM teams. Paste a sales call transcript and get a structured deal summary, objection map, next steps, risk flags, and a ready-to-send follow-up email — in seconds. Built on the Claude API with a Vercel serverless proxy. Designed to cut deal review time from 30 minutes to under 2.

Claude API TypeScript Next.js Vercel Prompt Engineering
Live Demo →
Production Deployment · Acuity Insights

Intercom Fin AI — Full Rollout

Built the ROI model and business case that secured executive go/no-go. Designed the experiment framework, ran the controlled pilot, and drove production rollout. The system now autonomously resolves the majority of enterprise interactions with human-in-the-loop controls and zero post-launch instability.

Intercom Fin AI ROI Modelling Experiment Design Stakeholder Alignment Human-in-the-Loop
67%
Auto-Resolution
150+
Hours/Month Saved
02 — Data Pipeline

Revenue Bridge Analytics

A three-stage pipeline that merges CRM, Support, and Product usage data to surface churn risk before it shows up in the numbers. Risk classification, strategic recommendations, and a three-panel executive chart.

PythonPandasSQL LogicChurn Risk
03 — Extraction Pipeline

Oracle V2 — Meeting to Jira

Automated action-item extraction from meeting transcripts into Jira-ready tickets. Python pipeline with a dedicated extraction layer, CRM cross-referencing, and auto-escalation for high-value accounts.

PythonPydanticNLPJira API
04 — Classification Engine

Support Triage Engine

Rule-based AI classification of 1,000 synthetic support tickets across 7 categories, achieving 87.2% accuracy. Full performance analysis, a three-panel chart, and a case study documenting the logic-ordering optimization that lifted accuracy by 11 percentage points.

PythonNLPClassification87.2% Accuracy
02

Lab

Side builds and experiments. Built out of genuine curiosity — at the intersection of education, finance, and energy infrastructure.

Education · EN/FR

MathVoice

Bilingual voice math tutor for Grade 1–3. Built on ElevenLabs TTS and Web Speech API. No backend, no install — runs entirely in the browser. Graceful TTS fallback when credits run out. A full product loop from idea to live demo.

ElevenLabs TTSWeb Speech APIVercelBilingual
Live Demo →
Finance · Energy Markets

Power Market Monitor

Real-time power grid monitors for ERCOT and PJM markets alongside sovereign yield curve trackers. Built at the intersection of finance, energy, and live data feeds — intellectual curiosity made visible.

Live API FeedERCOT / PJMYield CurvesReal-Time
View Repository →
03

Stack

AI & Automation
Claude API
Intercom Fin AI
ElevenLabs
Prompt Engineering
Human-in-the-Loop
LLM Pipeline Design
Experiment Frameworks
Data & Analytics
Python (Pandas)
SQL
Tableau
Looker
Power BI
Cohort Analysis
KPI Dashboards
Build & Deploy
TypeScript
Next.js
Vercel
REST APIs
Web Speech API
GitHub
Serverless
Operations
Jira / Confluence
Salesforce
Intercom
HubSpot
Zendesk
Notion
Titan CTRM

Let's
build
something.

Bilingual EN/FR. Based in Gatineau, QC. Open to remote roles across Canada. Currently targeting operations, AI enablement, and product ops positions.

Location
Gatineau, QC — Open to remote across Canada
Languages
English · French · Fulani/Pular — all fluent
Currently
Senior Operations Associate at Acuity Insights
Education
BCom Finance · University of Alberta