I build the integration layer between enterprise platforms - MuleSoft, Salesforce, Oracle, Stripe, Python - so data flows reliably at scale. Currently Consultant Integration at Systems Limited, Lahore.
I specialise in enterprise API integration - designing event-driven architectures that connect SaaS platforms, cloud databases, and custom backend services without friction.
My work spans two disciplines: MuleSoft / Anypoint Platform for enterprise integration, and Python (FastAPI, Django) for backend services and automation pipelines. Both serve the same goal - systems that don't break.
Before Systems Limited, I worked across EdTech, fintech, and large-scale scraping projects - building a strong foundation in performance, data integrity, and async processing.
Consultant Integration · Systems Limited
Lahore, Pakistan
MuleSoft Certified Developer - Level 01
BSc Software Engineering · NUST · 3.50 GPA
An analytics and intelligence product built to surface actionable insights from complex data. Designed and developed end-to-end - from backend architecture to product delivery.
Deployed MuleSoft APIs on CloudHub 1.0 & 2.0 integrating Stripe, Oracle, Salesforce, and the Darna Loyalty Program. Connected iSAMS and PowerSchool SIS platforms across 13 schools with bi-directional real-time data sync.
Implemented API-led architecture with System, Process, and Experience APIs for customer, coupon, gift card, and logistics management. Integrated Salesforce, OMS Cloud, and Microsoft Dynamics 365.
Integrated Salesforce Bulk API v1 & v2 for legacy database migration. Integrated MySQL and PostgreSQL with object stores and schedulers. Deployed flows on CloudHub 2.0 with custom logging and retry mechanisms.
Integrated Paddle & Polar payment platforms with subscription-based models. Built separate Admin and User dashboards giving admins full subscription visibility and control - including enable/disable per subscription.
AI-powered academic research platform connecting scholarly databases with intelligent automation. Built backend with FastAPI, integrated AI-driven document processing, and engineered AWS S3 data pipelines for large-scale literature ingestion.
High-performance web scraping API using FastAPI with async processing for concurrent tasks. Extracts and transforms data from any website into unified schemas. Achieved 80% faster response times than Flask-based alternatives. Deployed on AWS EC2 with JWT authentication.
AI-powered e-learning platform with personalised course recommendations, real-time feedback, and collaborative learning. Funded by the Pakistan Engineering Council (PEC). Deployed on AWS with adaptive assessments and dynamic profiling.
Scraped and structured 400,000+ courses - title, instructor, ratings, categories. Built a fully automated data refresh pipeline and personalised recommendation engine. Reduced manual extraction from weeks to minutes. Published as a PyPI module.
Applied formal modeling and verification to a tennis training app, Trainify, using Uppaal. Identified safety-critical modules that could compromise player wellbeing, modelled them as timed automata, and verified correctness properties to ensure no unsafe states could occur during real-time use.
Open to integration consulting, backend engineering roles, and interesting technical problems. Reach out directly - I respond fast.
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