PORTFOLIO / 2026 / LAHORE — GLOBAL

Shazim Khan

Technical Founder & AI Engineer. I build products that get acquired, funded, and scaled.

Highlight

$289K

Raised by Meet-Ting after the MVP I built launched in production.

Acquisitions led

0

Outfts → Amaze. System7 → Vault PLC. Multi-million dollar exit.

Products shipped

0+

10+ YEARS

Job success

0%

UPWORK · TOP RATED · 44 PROJECTS

Reach

0M+

END-USERS · CLIENT PLATFORMS

Regions served

US · UK · EU · MENA · CA · APAC

AVAILABLE FOR NEW WORK
[01] — About

I don't build features. I build products that move businesses forward.

Technical founder, AI engineer, and co-founder of Orbiqon. Based in Lahore. Working across the US, UK, EU, and MENA.

The work

I co-founded Orbiqon, a product engineering studio where I lead architecture, AI systems, and end-to-end delivery. Before that, I served as Head of Engineering at System7, a UK digital agency later acquired by Vault PLC at a multi-million dollar valuation.

My work sits at the intersection of product engineering and AI. I design and build SaaS platforms, LLM agents, automation systems, and data pipelines. I take products from zero to launch and stay involved through growth, funding, and exit.

Now

Building AI agents, RAG systems, and embedded engineering for founders going from MVP to Series A.

BASED IN LAHORE · WORKING GLOBALLY

Years

10+

BUILDING PRODUCTS

Shipped

40+

PRODUCTS · MVPS · TOOLS

Reach

1M+

END-USERS REACHED

Retention

82%

CLIENT RETENTION RATE

[02] — Expertise

Three disciplines. One delivery standard.

Discipline 01

Product Engineering

SaaS platforms, marketplaces, dashboards, APIs, payment systems, subscription logic, and third-party integrations. Full-stack architecture from database to deployment.

ReactNext.jsNode.jsNestJSLaravelPythonPostgreSQLMongoDBAWS
Discipline 02

AI & Automation

LLM agents, copilots, RAG systems, email AI, workflow automation, document understanding, intelligent scheduling, and multi-agent orchestration. AI that runs inside real products.

OpenAIGeminiLangChainPineconeN8NMakeRetell AI
Discipline 03

Product & UX Strategy

Discovery sessions, user journeys, wireframes, prototypes, design systems, and onboarding flows. Every technical decision is rooted in what the user needs and what the business requires.

DiscoveryJourneysWireframesPrototypesDesign Systems
[04] — Selected Work

Seven projects. Scroll to step through each one.

Each case study pins as you scroll — the outcome stays anchored on the left while the story moves through Problem → What I Did → Stack & Quote on the right.

[01] — Digital Services Agency

System7

Acquired by Vault PLC·system7.ai·Head of Engineering

Visit live ↗
Outcome

Multi-million dollar acquisition

Head of Engineering

01 / 03Problem & Result

[01] The Problem

System7 had strong strategic and creative capabilities but no senior engineering team. They needed a partner who could deliver client projects with tight deadlines, build new products, and provide long-term support with clear communication.

[01] The Result

Over several years, the partnership helped System7 grow, deliver consistently, and scale operations. This consistent delivery played a key role in the agency's acquisition by Vault PLC at a multi-million dollar valuation.

[02] What I Did
01

Provided a consistent team of senior engineers, a lead developer, and QA delivering across multiple projects simultaneously

02

Defined architecture, recommended frameworks, improved internal workflows, and ensured predictable delivery

03

Acted as the technical brain behind the agency, making decisions that impacted client satisfaction and operational scale

04

Supported several clients in parallel while maintaining consistent communication and stability on each release

[03] Tech Stack
ArchitectureEngineering LeadQALong-term Delivery

"I am very pleased with the project Orbiqon has done for us. You have done and are doing an excellent job at design and functionality of our application. Thank you for all your efforts and please know they are very much a"

Nicolas BaxterCEO, System7 AI

[02] — Productivity & AI

Meet-Ting

Raised $289K Post-MVP·meet-ting.com·End-to-end build

Visit live ↗
Outcome

Funded after MVP launch

End-to-end build

01 / 03Problem & Result

[01] The Problem

Meet-Ting is an AI scheduling assistant that reads real email conversations, understands intent, and books meetings automatically. Email scheduling sounds simple but becomes complex with long threads, unclear intent, timezone issues, overlapping calendars, and inconsistent communication styles.

[01] The Result

The MVP launched successfully. The quality of the build enabled the founder to secure $289K in funding and expand into a larger organization.

[02] What I Did
01

End-to-end product architecture

02

AI pipeline for email parsing and intent detection using OpenAI and Gemini

03

Google Calendar integration for availability checking, conflict resolution, and event creation

04

Rules-based scheduling engine that selects the best meeting time based on user preferences

05

Multi-model AI architecture for accuracy and speed

06

User dashboard for settings, rules, and time windows

07

Automated guest communication that mirrors the user's voice

[03] Tech Stack
Node.jsNext.jsNestJSLangChainGeminiOpenAIPostgreSQLMicrosoft Graph

"Meet-Ting required deep AI and engineering expertise, and Orbiqon exceeded every expectation. Reliable, solutions-driven, and steady under pressure, they consistently deliver high-quality work."

Daniel BulteelCEO, Meet-Ting

[03] — Content Creation & Digital Media

9/16 Studio

Scaled Content Operations·ninesixteenstudios.com·Content OS Architect

Visit live ↗
Outcome

Hundreds of manual hours removed

Content OS Architect

01 / 03Problem & Result

[01] The Problem

NineSixteen Studios was spending large amounts of time on manual research, performance tracking, file storage, idea generation, competitor scanning, and archive organization. They needed a system that centralized intelligence without compromising data ownership.

[01] The Result

The studio went from hours of daily manual work to a fully automated content pipeline. Research, idea generation, archiving, and competitor tracking all happen automatically through Slack commands and scheduled workflows.

[02] What I Did
01

Self-hosted N8N automation engine with modular workflows

02

Slack command center with 22 integrated channels acting as workflow triggers

03

Multi-model AI layer for content idea generation using OpenAI and Gemini

04

Pinecone vector indexing for semantic search and memory

05

Automated archiving including transcripts, thumbnails, and metadata

06

Competitor monitoring and trend intelligence via scheduled reports

07

Transcript extraction, web scraping, and data processing via Apify and RapidAPI

08

Unified data storage across Notion, Airtable, and Google Sheets

[03] Tech Stack
N8NSlackOpenAIGeminiPineconeApifyNotionAirtableMake
[04] — Crypto, Financial Analytics, AI

VSignal

Real-time Market Intelligence·vsignal.ai·Lead Engineer

Visit live ↗
Outcome

Production-ready MVP

Lead Engineer

01 / 03Problem & Result

[01] The Problem

VSignal needed a reliable way to collect, process, and understand fast-moving crypto and macro market data. Existing tools were either too slow, too expensive, or required manual research across multiple platforms.

[01] The Result

VSignal delivers reliable, actionable intelligence with zero manual effort. The product is positioned for expansion into automated trading signals and institutional analytics.

[02] What I Did
01

Real-time data ingestion pipeline writing structured data into BigQuery

02

Multi-model AI layer producing summaries, trend signals, and insights

03

Scheduled intelligence workflows for price movement and volatility shifts

04

Clean Next.js dashboard with charts, watchlists, and time-based summaries

05

Scalable NestJS backend with modular APIs for future trading tools

[03] Tech Stack
Node.jsNestJSNext.jsBigQueryGeminiQuant InsightPostgreSQL
[05] — PLM, SaaS, B2B Marketplace

LifeCycle PLM

Scaled with reliability and speed·lifecycleplm.com·Backend Engineering

Visit live ↗
Outcome

Platform scaled with improved reliability

Backend Engineering

01 / 03Problem & Result

[01] The Problem

LifeCycle needed backend engineering across PLM workflows, marketplace flows, and supply-chain tooling, plus integrations and performance improvements.

[01] The Result

Platform scaled with improved reliability and speed across PLM workflows and marketplace operations.

[02] What I Did
01

Backend engineering for PLM workflows, automations, and core modules

02

Marketplace features including product listings, approvals, and compliance flows

03

API integrations including geocoding, image processing, and third-party services

04

Performance improvements and refactoring for stability and speed

05

Structured data pipelines and internal tooling for SKU and supply chain data

[03] Tech Stack
Node.jsNext.jsOpenAIAWSRunway MLMongoDB
[06] — Health & Lifestyle

Heads Up Health

Cross-platform with 50+ integrations·headsuphealth.com·Full-stack & Mobile

Visit live ↗
Outcome

Cross-platform health tracking app

Full-stack & Mobile

01 / 03Problem & Result

[01] The Problem

A venture-backed health platform needed a cross-platform application that aggregated data from dozens of wearables and gave users a unified picture of their health.

[01] The Result

Cross-platform health tracking application with 50+ integrations shipped and supported in production.

[02] What I Did
01

Android and iOS application with web dashboard

02

Health records management and reporting

03

Graphs and charts for health, sleep, and steps tracking

04

Integration with Fitbit, Apple Watch, and 50+ third-party applications for real-time stats

05

Live consultation feature with doctors

[03] Tech Stack
Ruby on RailsNode.jsReact NativeNext.jsPostgreSQL
[07] — Marketplace & Referral Platform

CampTree

Foundation platform still in active use·camptree.org·Engineering Lead

Visit live ↗
Outcome

Foundation platform live and supported

Engineering Lead

01 / 03Problem & Result

[01] The Problem

CampTree needed a referral and word-of-mouth growth platform for summer camps with campaign creation, invite tracking, customizable per-account flows, and email marketing integration.

[01] The Result

Foundation platform shipped and still in active use today, supporting referral-driven growth for summer camps.

[02] What I Did
01

Referral and word-of-mouth growth platform for summer camps

02

Campaign creation and invite system with referral reward tracking

03

Customizable emails and landing pages for each camp account

04

Mailchimp integration for email list management

[03] Tech Stack
PHPWordPressReact NativeNext.jsMySQL

"We are very satisfied with code quality, responsiveness and team fit of the developers which we get from Orbiqon. They are a great support for several of our projects regardless its complexity and time pressure."

Duncan RobinsonCEO, CampTree

[05] — Numbers

Outcomes, in numbers.

Regions served — US, UK, EU, MENA, Canada, APAC. 93% delivery success rate. Top Rated on Upwork since 2019.

Products Shipped

0+

Job Success — Upwork

0%

Acquisitions Led

0

Raised Post-MVP

$0K

End-Users Reached

0M+

Upwork Projects

0

Regions Served

0

Client Retention

0%

[06] — Stack

The tools I reach for.

Hover any band to pause the scroll. The categories drift at different speeds in alternating directions.

Languages & Frameworks
React
Next.js
Node.js
NestJS
Python
Laravel
TypeScript
Ruby on Rails
PHP
JavaScript
AI & LLM
OpenAI API
Gemini
LangChain
Pinecone
RAG Systems
Retell AI
Multi-Agent
Automation
N8N
Make.com
Zapier
Apify
Databases
PostgreSQL
MongoDB
MySQL
BigQuery
Supabase
Airtable
Cloud & Infra
AWS
Vercel
Docker
Integrations
Twilio
Slack
HubSpot
Cal.com
Stripe
Google Calendar
Microsoft Graph
Fitbit
Apple Watch
PHONIZ — Voice & SMS AI Agents

9 AI voice agents across 4 industry verticals using Retell AI, N8N, Supabase, Twilio, Cal.com, HubSpot, Airtable, and Lovable. Production-grade conversational AI handling appointment booking, lead qualification, and customer support over phone and SMS.

[07] — What clients say

In their own words.

"

I am very pleased with the project Orbiqon has done for us. You have done and are doing an excellent job at design and functionality of our application. Thank you for all your efforts and please know they are very much appreciated.

Nicolas BaxterCEO, System7 AI

"

Meet-Ting required deep AI and engineering expertise, and Orbiqon exceeded every expectation. Reliable, solutions-driven, and steady under pressure, they consistently deliver high-quality work.

Daniel BulteelCEO, Meet-Ting

"

Orbiqon is a team of talented developers with not just a passion but an understanding of how something is supposed to work and function. Their attention to detail and work ethic are second to none. I could not run certain projects without them.

Sam TomsCEO, The Design Yard

"

We are very satisfied with code quality, responsiveness and team fit of the developers which we get from Orbiqon. They are a great support for several of our projects regardless its complexity and time pressure.

Duncan RobinsonCEO, CampTree

[08] — Process

How I work.

Five steps from discovery to scale. Each one designed for clarity and momentum.

STEP 01

Discovery & Alignment

A 30-minute call to understand your goals, users, constraints, and what success looks like. No sales pitch — just an honest conversation.

STEP 02

Architecture & Design

Technical architecture, user journeys, and UX foundation needed to build a scalable product. Every decision documented and discussed.

STEP 03

Engineering & Iteration

Structured sprints with weekly demos, rapid iteration, and complete transparency. You see working software every week.

STEP 04

QA, Testing & Launch

Rigorous QA — manual and automated — to ensure stability, performance, and a smooth production launch.

STEP 05

Measure, Improve & Scale

Track usage, gather insights, refine the experience, and scale with new features and AI enhancements. I stay involved as long as the product needs me.

[09] — Work With Me

Three ways to engage.

MVPS · SAAS · COMPLEX SYSTEMS

End-to-End Product Build

Build and launch your product with a senior team handling design, architecture, engineering, AI, and deployment. Best for MVPs, SaaS platforms, and complex systems.

PRE-SEED · SEED · ROADMAP EXECUTION

Embedded Engineering

Your remote engineering department. A dedicated squad of senior engineers fully aligned with your roadmap. Best for pre-seed and seed teams that cannot hire in-house yet.

DISCOVERY · PROTOTYPING · 2–4 WEEKS

AI & Product Sprint

A fast 2–4 week discovery and prototyping sprint. AI workflows, UX, automation flows, and architecture so you have clarity and direction quickly.

[10] — Let's Talk

Ready to build something real?

START HERE

30-minute discovery call. No commitment. No sales deck.

I work best with founders and small teams who need senior engineering and AI capability without the overhead of a full in-house team.

Availability

Available for new work

Taking on a small number of new engagements. Best for founders who already have a clear product idea and need senior execution.