Lahore, Pakistan
Introduction
Work Experience
Studies
Technical skills
Lahore, Pakistan
English
Urdu

Saaim Abdullah

Software engineer · Web, backend, data & AI
I'm Saaim Abdullah, a software engineer based in Lahore. I build complete software products for businesses: premium, fast, mobile-first websites and web apps designed around what your business actually needs to do, whether that's booking more calls, taking payments, or closing sales. No recycled templates and no cut corners.

Under the hood, that's real engineering. Over the past two years I've shipped production systems for companies across Europe and beyond: high-end frontends, REST APIs and backend services, event-driven ETL and data pipelines (Kafka, Spark, Airflow), AI features such as RAG chatbots and recommender systems, and full AWS cloud infrastructure (Lambda, EC2, ECS, S3, RDS, Redshift). When a project needs real logic, integrations, dashboards, or data behind it, I build the whole thing end to end, from the landing page to the database.

My flagship project is Fitter Health A preventive health-tech platform I built entirely from scratch and took all the way to production for a Spain-based team, owning the frontend, backend, cloud, and data layer. I also share how I build these systems on Medium and take on select client work through Upwork.

"He frequently delivered ahead of scope and raised considerations we had not thought to ask about."
Beth Iriarte, Co-founder & CEO of Fitter Health

Work Experience

Fitter Health · full platform, built end to end2026 - Present
Software Engineer (Full-stack / Backend / Data / Cloud) · Remote (Spain-based team)
  • Designed and built the entire preventive health-tech platform from scratch: frontend (Next.js), backend (Django / DRF), database, cloud infrastructure, and data layer. Owned the product end to end, from first commit to production deployment.
  • Architected and shipped the full AWS infrastructure: ECS, RDS, S3, SNS, SQS, Redshift, API Gateway, IAM, and VPC, all secured, containerized, and production-ready.
  • Defined every API contract and backend workflow, engineering the system for reliability, maintainability, and data-driven features from day one.
  • Built the notification and file-handling architecture with Celery + Redis background processing, automated tests, clean migrations, and database-level integrity constraints, production-grade throughout.
Expertflow (Cisco UCCE solution partner)2024 - 2026
Software Engineer (Backend / Cloud) · Lahore, Pakistan
  • Built backend APIs serving 1,000–3,000 daily users on AWS-backed services, deployed as Docker containers on EC2 with IAM, VPC, and S3; delivery behind an Application Load Balancer with rate-limiting and traffic controls.
  • Designed and shipped an event-driven ETL pipeline with AWS Lambda and S3, automating ingestion and delivering analytics-ready datasets for reporting and ML workflows.
  • Built transformation pipelines to standardize raw inputs, improving data quality across systems.
  • Developed a real-time voice/video communication SDK (WebRTC) and REST APIs integrating frontend clients, SDK modules, and third-party platforms.
  • Implemented a chatbot workflow to improve first-response time; delivered SQL-based analytics for customer insights.

Studies

COMSATS University Islamabad, Lahore CampusBS Computer Engineering (2021–2025). Coursework across data structures, databases, computer networks, operating systems, software engineering, computer architecture, and machine learning.
CertificationsAWS Cloud Technical Essentials · Amazon Web Services (Coursera, 2026)
Introduction to Data Engineering · DeepLearning.AI (Coursera, 2026)
Getting Started with Git and GitHub · IBM (Coursera, 2026)

Technical skills

LanguagesPython-first for backend, data, and ML work, with TypeScript and JavaScript across the frontend and strong SQL for data. Also comfortable in Java.
Backend & APIsI design and ship reliable REST APIs and server-side systems in Django, Django REST Framework, FastAPI, Flask, and Node.js/Express, including real-time features with WebRTC.
Data EngineeringBatch and streaming pipelines with Apache Kafka, PySpark Structured Streaming, and Airflow, modeling analytics-ready warehouses using star schema and medallion architecture (Pandas and NumPy for processing).
Cloud & DevOpsProduction AWS across Lambda, EC2, ECS, S3, RDS, Redshift, SQS/SNS, API Gateway, IAM, VPC, and ALB, containerized with Docker and shipped through CI/CD pipelines.
DatabasesRelational and NoSQL: PostgreSQL and MySQL, MongoDB and DynamoDB, plus Redis for caching and Firebase for real-time data.
AI & MLPractical AI features: RAG systems, recommender engines, and multilingual embeddings built with scikit-learn and TensorFlow, down to TensorFlow Lite Micro for on-device inference.
FrontendModern, responsive, accessible interfaces in React, Next.js, and Angular with clean, maintainable HTML and CSS.