Engineering depth
Multi-tenant Django + Postgres backends, partitioned event logs, MQTT/AWS IoT edge networks, WebRTC/HLS streams, and Prometheus/Grafana observability — the plumbing that keeps products up.
JavaScript, Python, and AWS across the whole stack — with a sharp focus on agentic AI, MCP, and LLM-native products. For 6+years I've shipped multi-tenant SaaS, real-time dashboards, and distributed systems from MVP to production.
const mohsin = defineAgent({
name: "Mohsin Iqbal",
role: "Senior Full-Stack & AI Engineer",
tools: [
mcpServer({ sdk: "python" }),
next({ version: 14, ssr: true }),
react({ version: 19, realtime: true }),
django({ version: "5.2", drf: true }),
aws({ iotCore: true, lambda: true }),
],
mission: async (brief) => {
const plan = await strategize(brief);
const arch = await architect(plan);
return ship(arch);
},
});Started out writing Python / Django in 2020, grew through React and Next.js at product studios and agencies, and now lead agentic-AI work at Tkxel — building multi-tenant SaaS, MCP integrations, and real-time distributed systems.
Multi-tenant Django + Postgres backends, partitioned event logs, MQTT/AWS IoT edge networks, WebRTC/HLS streams, and Prometheus/Grafana observability — the plumbing that keeps products up.
Building with the Python MCP SDK, Claude Skills, and Claude Memory. Shipped an Agentic Smart Search over multi-million event logs with live SSE updates and natural-language queries.
React 19 / Next.js on the front, Django / Node / NestJS / FastAPI on the back. Six years shipping across five companies — I've owned every layer a product needs.
I bring a concentrated toolkit to every engagement — deep enough to own architecture, broad enough to ship a product end-to-end.
I design LLM-driven pipelines that reason, plan, and act over real data — the same approach I used to ship an Agentic Smart Search over millions of event logs with live SSE progress updates.
Certified on the Model Context Protocol and actively building with the Python MCP SDK, Claude Skills, and Claude Memory — wiring AI into proprietary data and internal tools safely.
Six years of production builds across React/Next.js on the frontend and Django, Node/NestJS, Express, FastAPI on the backend — multi-tenant SaaS, real-time dashboards, and event-driven services.
MQTT over AWS IoT Core, Amazon MQ, Celery workers, WebRTC/HLS video, partitioned Postgres, and Prometheus/Grafana observability — the plumbing behind reliable AI products at scale.
A curated slice of real builds across agentic AI, multi-tenant SaaS, EdTech, sports tech, FinTech, and Web3 \u2014 spanning Tkxel, Techverx, and client work.
7+ RBAC levels · MFA · workspace isolation
Multi-tenant AI surveillance backend with workspace-scoped security and real-time React 19 dashboards managing concurrent WebSocket connections and low-latency WebRTC/HLS video streams.
NL queries over multi-million event logs
“Agentic AI” pipeline letting users query massive security datasets through natural-language semantic search, streaming progress updates live over Server-Sent Events.
99.9% message delivery
Distributed comms bridging cloud infrastructure with remote edge nodes via MQTT (AWS IoT Core) and Amazon MQ — tuned for reliable command dispatch in low-bandwidth environments.
Exec PDF insights · async task observability
Automated reporting engine that transforms distributed site metrics into executive-grade PDF insights, backed by Celery task queues and Prometheus/Grafana observability across microservices.
3 UK greyhound domains → 1 unified feed
Full-stack aggregation platform unifying three UK greyhound sites — Greyhound News, Homing, and Racing — into one feed covering live racing, welfare, and adoption content.
Role-based scheduling, payments, chat
Scalable e-learning SaaS connecting students with subject-specific tutors — role-based dashboards, Stripe payments with approval workflows, and Socket.io real-time messaging between students, tutors, and agents.
50+ sports · per-tenant infra
Multi-tenant SaaS for sports academies with dedicated per-tenant infrastructure — scheduling, registration, payments, and team formation across 50+ sports, plus iOS and Android companion apps.
Merchandising & recommendation UI
Frontend for Cheetay’s recommendation engine — React dashboards wired to REST services, tuned for smooth data flow and merchandising decisions at scale.
Trending-wallet visualizations
OpenSea-style marketplace for digital assets with React/Next.js dashboards, customizable filters, and dynamic visualizations for tracking trending wallets — full-stack across Python/Django and React.
NLP-powered stock insights UI
Frontend for an NLP-driven stock discussion analytics platform — secure auth, Stripe payment flow, and a dynamic charting dashboard built on Anychart and Chart.js.
Much of the agentic AI work I've shipped is behind closed doors. Reach out and I'll walk you through the architecture, evals, and trade-offs on a call.
I'm a generalist by necessity and a specialist by obsession. These are the tools I use daily to ship AI-native products.
From Python at KICS to React + Node at BBI Tech and Techverx, to MERN at Nextbridge, to agentic-AI + distributed systems at Tkxel today.
Leading the buildout of a multi-tenant AI surveillance platform — Django 5.2 + Postgres 17 backend with workspace-scoped security, an Agentic Smart Search pipeline with live SSE updates, React 19 dashboards over WebSocket + WebRTC/HLS, and a distributed edge layer on MQTT/AWS IoT Core hitting 99.9% delivery.
Senior MERN engineer owning architecture and delivery across client-facing products — React front-ends, Node/Express services, and MongoDB data layers shipped to production.
Led teams shipping high-performance React / Next.js (v13/v14) UIs with SSR, RTK Query state, and scalable REST APIs on Node, Express, MongoDB, and Strapi CMS. Owned monorepo + microservices architecture and CI/CD across Heroku, AWS, Jenkins, and Vercel.
Translated Figma designs into pixel-perfect React / Next.js UIs with Material-UI and AntD. Built real-time data visualizations (Anychart, Chart.js), JWT + RBAC auth, and a rigorous Jest + React Testing Library suite.
Built Django web applications, DRF APIs, SQLAlchemy-backed MySQL data layers, Selenium test automation, and Scrapy crawlers — the Python-first foundation underpinning every role since.
Whether you're launching an agentic-AI product, wiring up an MCP server over your internal data, or scaling a multi-tenant SaaS — I'd love to hear what you're working on.