Mohammad Abdul Jabbar

About Mohammad Abdul Jabbar

I started my journey in technology from a small town in India, driven by curiosity and a hunger to build meaningful systems. That spark led me to Infosys, where I worked on enterprise-scale data pipelines for global CPG clients, then to Arizona State University where I earned a 4.0 GPA while building real-time ML inference systems in digital health, social media, and creator analytics.Over the past 3+ years, I’ve grown into a hybrid AI/ML Engineer & Data Analytics professional, blending strong engineering foundations with a product mindset. I\'ve designed and deployed cloud-native data pipelines on GCP and AWS, built automated ETL workflows using Airflow and Spark, and supported ML model deployment using Vertex AI and AWS Lambda, all to unlock faster, cleaner, and more actionable insights for end users.At ASU, I built dashboards and ML systems that optimized library and vending machine operations, improving stock availability and student satisfaction. At Infosys, I helped reduce supply chain delays through predictive analytics and real-time vendor communications.Today, I’m passionate about building scalable, production-grade ML & data systems that align closely with business goals, whether it\'s reducing operational bottlenecks, powering intelligent user insights, or automating decisions at scale.Let’s connect if you’re working on high-impact data products, I’d love to collaborate.

Experience

1. Software Dev Engineer

   Amazon

   Sep 2025 — Present · Seattle, WA, US

Education

• Arizona State University

  Master of Science - MS, Information Technology Project Management

• Gayatri Vidya Parishad College of Engineering (Autonomous)

  Bachelor's degree, Information Technology