Muhammad Abdullah
@muhammadabdullah37
AI Engineer building production LLM and AI pipelines; I ship reliable SaaS and scale backend systems.
What I'm looking for
I’m a Software Engineer / AI Engineer with 5+ years of production experience, specializing in AI and LLM integration (for the past 3 years). I build async, scalable systems that turn user workflows and datasets into dependable AI-driven products.
At Xref, I built an AWS Bedrock insights engine on FastAPI serving 10,000+ daily users, using SQS/Lambda-powered async pipelines processing 20,000+ daily tasks. I also migrated a 10+ year-old Django monolith to microservices, splitting 5+ tightly coupled services to remove cross-team deployment bottlenecks.
I integrate LLM capabilities where they deliver measurable outcomes—OpenAI APIs for AI writing assistance and automated QA test generation cut manual QA by 30%. I also engineered Elasticsearch indexing pipelines to improve search accuracy and query performance across large HR datasets.
Previously at Squibler AI, I helped build the backend for an AI-powered book writing platform with real-time document collaboration for 3,000+ writers, and supported revenue impact through features like Version History. I’m equally hands-on with end-to-end AI product work through projects like PakGPT, Vidora, and Uplix.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Xref
Aug 2023 - Present (2 years 10 months)
Built an AWS Bedrock insights engine on FastAPI that generates AI-driven HR performance summaries and eliminated manual analysis for 10,000+ daily users. Migrated a 10+ year Django monolith to microservices, integrated OpenAI writing assistance and QA generation, and improved performance (40% faster responses), reliability (35% fewer production bugs), and CI/CD release cycles (40% faster).
AI Python/Django Developer
Squibler AI
Mar 2022 - Aug 2023 (1 year 5 months)
Integrated OpenAI APIs into a Django backend to deliver AI writing assistance and automated QA test generation, reducing manual QA by 30%. Built backend APIs for an AI book writing platform with real-time document collaboration for 3,000+ writers and improved data integrity, while upgrading Django from 2.2 to 3.2 and removing 5,000+ lines of legacy code.
Backend Developer
Five Rivers Technologies
Jul 2020 - Mar 2022 (1 year 8 months)
Built a Python/Django recommendation engine that increased user engagement by 13% and shipped REST APIs using Django REST Framework with Gmail API integration across 10,000+ mailboxes. Reduced API response times by 33% by running async workloads with Celery + Redis and optimizing N+1 query patterns.
Education
Degrees, certifications, and relevant coursework
University of Central Punjab
Bachelor of Science in Computer Science, Computer Science
2016 - 2020
Grade: CGPA 3.35; Dean’s List 2020 (top 10% of class)
Earned a Bachelor of Science in Computer Science from the University of Central Punjab. Achieved a CGPA of 3.35 and made the Dean’s List in 2020 (top 10% of class).
Tech stack
Software and tools used professionally
GitHub
Kubernetes
GitHub Actions
MySQL
PostgreSQL
MongoDB
Gmail
Django
FFMPEG
Redis
React
JavaScript
Python
HTML5
CSS 3
Django REST framework
FastAPI
SQLAlchemy
Datadog
Gemini
Firebase
Elasticsearch
AWS Lambda
TypeScript
pytest
Docker
NGINX
Gunicorn
s3-lambda
SQL
Google Cloud Run
LangChain
Cursor
GitHub Copilot
Bash
LangGraph
Claude Code
Task
X++
Availability
Location
Authorized to work in
Website
ranahaani.mePortfolio
PakGPT.appSalary expectations
Skills
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