MSMuhammed Salim

AI Engineer · Forward Deployed Engineer

PRODUCTION AI
BEYOND DEMOS

 

AI Engineer building production AI systems end to end — multi-agent assistants, RAG, MCP tool layers, computer vision, and the full-stack + data platforms underneath.

AI Engineer @ CCGAWS · GCP · Azure AI certified

AI Systems Console

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assistant

ask me anything about Muhammed — his work, Nexhost, his stack — or general AI-engineering questions (agents, RAG, MCP, production architecture). I'll answer in a systems-minded way.

examples:

promptask about Muhammed, AI engineering, or your system.
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Experience

Mar 2025 – Present

InsureTech

current

AI & Data Solutions Engineer

Claims Consortium Group (CCG)

  • Built a predictive financial forecasting AI model for C-suite decision-making — real-time budget projections, cost-variance analysis, and revenue forecasting.
  • Automated 70% of the monthly MI cycle with Python and SQL pipelines, cutting delivery from days to hours.
  • Standardised schemas across partners, reducing data errors by 40%.
Next role

Jan 2025 – May 2026

Co-Founder & CTO | AI Engineer (Part-time)

Nexhost AI

  • Sole architect of the NEX platform (React, TypeScript, Python, PostgreSQL, Supabase) — zero to live production within weeks.
  • Designed and deployed 5 AI modules including agents and computer-vision inventory/waste systems — +30% counting accuracy, −25% food waste, −70% scheduling time.
  • Managed 3 engineers and onboarded beta clients with a 100% successful launch rate on the initial cohort.
Next role

Sep 2024 – Jan 2025

Analyst (Billing)

Light & Wonder

  • Automated billing extract and Power BI reporting workflows, reducing manual processing time by 50% and closing monthly cycles 2 days faster.
  • Identified and resolved billing variances worth £100k across high-volume game revenue streams.
Next role

Nov 2021 – Sep 2024

Software Engineer (Founding Engineer)

Perkk™

  • Contributed to £140M in combined revenue across partnered startups, including a client with 4x growth and £28M funding secured post-branding.
  • Built and owned the full tech stack for a global B2B branding agency (11–50 team), supporting 2–3 premium projects per month.
  • Helped scale the agency team by 8 members while sustaining a premium delivery model.

Projects

all repos

The stack

AI orchestration

Multi-agent systems with LangChain / LangGraph, tool-calling via a Model Context Protocol (MCP) layer, and RAG-grounded answers — in production, not demos. Resilient multi-provider routing with automatic failover.

Production systems

Python, FastAPI, React / Next.js, TypeScript. Supabase / Postgres with Row-Level Security, multi-tenant design, POS integrations. Config-driven, env for secrets, structured logging, health checks.

Observability

Per-call usage, latency, and cost metering across every model call. Provider health tracking and failover so AI features stay available and economically viable at scale.

Computer vision

Photo-based inventory counting and waste detection with confidence scoring and cost-impact estimation — turning a phone camera into a data-capture pipeline for operations.