Open to opportunities

Muhammad Abdullah Sarfaraz

@muhammadabdullahsarf

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Senior Data & Platform Engineer building scalable data platforms and production-grade pipelines for analytics and AI.

Pakistan

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What I'm looking for

I’m looking for a Senior/Lead role where I can architect reliable data platforms and end-to-end MLOps pipelines on Azure/AWS—focusing on real-time insights, high availability, and measurable performance improvements through automation.

I’m a Senior / Lead Data Engineer with 9+ years of experience architecting scalable data platforms and production-grade pipelines for analytics and AI workloads. I’m known for turning complex data challenges into robust foundations that teams can rely on.

In my current role, I engineered high-availability MySQL, PostgreSQL, SQL Server, and Snowflake platforms supporting 10+ TB with 99.99% uptime across Azure and AWS. I orchestrated zero-downtime SQL Server → Snowflake transitions using CDC and Kafka, enabling real-time replication and reverse ETL via Azure Data Factory.

I also build production MLOps systems and inference services, operationalizing 20+ ML services with KServe/Seldon Core and maintaining 99.95% inference availability. I’ve accelerated experimentation through MLflow/Kubeflow automation and hyperparameter tuning, improving model accuracy by 18–25%.

Earlier, I led teams and technical transformations—directing a 12-engineer group to raise delivery throughput by 30% and cut deployments from 2 hours to 15 minutes. Across my career, I’ve combined strong backend/API development, orchestration, and performance optimization to deliver real-time, reliable experiences.

Experience

Work history, roles, and key accomplishments

Current

Senior Data & MLOps Engineer

Current

Cache Logic

Jan 2022 - Present (4 years 2 months)

Engineered high-availability data platforms (MySQL/PostgreSQL/SQL Server/Snowflake) delivering 99.99% uptime for 10+ TB across Azure/AWS and implemented GDPR-compliant lifecycle controls. Built high-throughput Django/FastAPI services at 5K+ RPS (15+ Docker/Kubernetes microservices, 1M+ Celery jobs/day) and operationalized 20+ ML inference services with 99.95% availability, improving experimentatio

High Availability Snowflake Azure Data Factory Python fastAPI Docker Kubernetes Celery

Lead Machine Learning Engineer

Technology Eastern

Mar 2020 - Dec 2021 (1 year 9 months)

Led a 12-engineer team, increasing delivery throughput 30% and reducing deployments from 2 hours to 15 minutes through AWS CI/CD adoption. Built sub-100 ms storage for 5+ TB workloads, secured Django REST services (2K+ RPM) with JWT+Redis, accelerated ETL (40% faster with Pandas/SQLAlchemy), and shipped 8 live TensorFlow/PyTorch solutions with 15–20% accuracy gains plus 75% less manual work using

Machine Learning Delivery CI CD AWS Redis SQLAlchemy PyTorch OpenCV

Technical Lead / Solutions Architect

Verdant Soft

Dec 2018 - Feb 2020 (1 year 2 months)

Unified Django and Ruby on Rails for 50K+ users with synchronized identity management and introduced real-time exchange services that cut platform latency 80%. Delivered 30+ DRF endpoints with 99.9% continuity, reduced rollout cycles to 5 minutes via Docker, and introduced ML-driven workout intelligence (+30%) alongside early-stage TensorFlow/Keras/PyTorch prototypes.

Django Ruby on Rails Identity Management Django REST Framework Docker TensorFlow Keras

Senior Backend Engineer (AI/ML Systems)

Tech Logics

Aug 2016 - Nov 2018 (2 years 3 months)

Developed 15+ Django applications with real-time dashboards (500 ms refresh) and APIs handling 800+ RPM, improving UX by 65% using Redis and query enhancements. Built scalable PostgreSQL/MongoDB systems for 10+ TB with 99.7% SLA, served TensorFlow/PyTorch inference APIs at 95% accuracy, and automated NLP/computer-vision workflows to reduce review effort 70% while cutting latency from 2s to 300ms.

Django Redis PostgreSQL Dashboards TensorFlow PyTorch Inference NLTK Computer Vision Performance Optimization