Muhammad Zeeshan Jawed, also known as Zeeshan Jawed, Zeeshan Javed, Zeeshan Jawaid and Zeeshan, is a Full Stack Engineer from Karachi Pakistan. He specializes in Node.js, Angular, TypeScript, analytics and data visualization, MongoDB, PostgreSQL, Redis, AWS, OpenAI API integrations, REST APIs and scalable SaaS systems.
Across a Techstars-backed social-media platform I own the Angular app, the Node.js backend, the 10+ microservices behind it, and the AI and agent tooling on top — for 30,000+ users.
Most of what I build runs database-to-UI: features, the analytics behind them, and the performance work that keeps it fast.
Over 3.5 years I've shipped across the entire product — publishing, engagement, analytics, social listening, team workflows, calendar, and audience targeting — and the fleet of Node.js microservices behind it: publishing, analytics, engagement, video & media workers, auth, and AWS Lambda.
Lately that's meant AI and agent tooling (an MCP server surface so assistants can publish, AI sentiment analysis for the inbox, a published n8n node and a Make app), the Brand Dashboard and Scheduled Reports, and a round of security and reliability hardening across the workers.
So I'm comfortable everywhere — an Angular dashboard one day, a queue-based worker with retries and token handling the next. I like systems simple enough to reason about and tough enough to survive real traffic.
"Bug-Solving Maestro" — recognized two years running, 2024 and 2025.
An MCP tool surface, an OpenAI-powered content wizard, a published n8n community node and a 40-module Make app.
Social platforms integrated and hardened — Meta, LinkedIn, TikTok, YouTube, Threads, Mastodon, Bluesky.
What I use to ship full-stack features, analytics, and integrations for SaaS at scale.
Analytics, integrations, and full-stack features for SaaS and enterprise platforms.
A few projects that show how I work — end-to-end, data-heavy, and shipped.
An end-to-end analytics product — interactive charts, demographic breakdowns, world-map visualizations, and exportable PDF reports — that turned basic stats into real insight for 30,000+ users. Built across Angular (with D3) and a Node.js / MongoDB backend.
Tool surfaces that let AI assistants and automation platforms drive the product directly: MCP tools for publishing, scheduling and channel management with role-scoped access, plus a published n8n community node and a 40-module Make custom app (OAuth2, generated from the public API routes) for channels and post creation — tested for scheduling, retries and idempotency.
A competitor trends chart with comparison cards and new table columns, combined demographics across platforms, and Instagram and LinkedIn video views collected by the analytics worker. Requests now verify the workspace they claim.
A background worker scores the sentiment of inbound comments and DMs, only on the customer's own words. Plan-gated with a soft limit, alerts at 7,500 and 10,000, and a kill switch; surfaced in the inbox, label analytics and the PDF export.
A workspace dashboard for Agency and Enterprise plans, with cards members can move and resize and role-scoped widgets. Plus scheduled report emails for Analytics and Social Listening whose per-plan limits pause and resume with plan changes.
Stopped an SSO handoff leaking the bearer token in the URL, added workspace-ownership checks, and removed committed secrets. Made expired Facebook and Instagram page tokens recover on their own instead of forcing customers to reconnect, and cut health-alert noise from ~1,700 cards a day to one per run.
Built and hardened integrations across Facebook, Instagram, LinkedIn, TikTok, YouTube, Threads, Pinterest, Mastodon and Bluesky, making unreliable third-party APIs behave in production.
A tamper-proof, blockchain-based system for verifying university degrees — built after mapping KU's real manual process. Validated years later when HEC Pakistan launched a similar on-chain attestation system.
REST APIs and data models for a ride-hailing app's core booking flows, plus a full-stack ERP platform built end-to-end from Node.js APIs to React modules.
Where the fundamentals came from, and what they've added up to.
Backend engineering, analytics, AI integrations, and scalable SaaS architecture.
How Retrieval-Augmented Generation works, and how to build RAG apps with embeddings, vector databases and LLMs.
Read full post →Improving API performance with Redis caching, background jobs, and async processing in production SaaS.
Coming soonRendering large analytics datasets smoothly — charts, comparisons, and exportable reports that stay performant.
Read full post →Pass it to recruiters, founders, and teams looking for a Full Stack Engineer in Karachi.
Open to full-stack and backend roles — especially analytics, AI tooling, or data-heavy SaaS. Always happy to talk shop.