Skip to content
Pratul Maddipudi

About

Engineer first, generalist by habit.

I'm Pratul Maddipudi, a software engineer with four years of professional experience spanning full-stack development, cloud migrations, and statistical analysis. I like owning problems end to end — from a legacy system migration with zero acceptable downtime to the interface a crew member checks in with every morning.

My work has taken me across GCP, Azure, and AWS, through SAP S/4HANA configuration and migration, and into hosting Vertex AI agents that turn scattered customer tickets into one usable dashboard. Day to day I write TypeScript, Java, Python, and SQL, and I'm particularly drawn to lightweight edge AI and embedded Linux systems.

Right now I'm looking for opportunities where I can ship product quickly with a small, senior-minded team. If that sounds like your team, the resume on the right is current — or just email me.

Experience

  • Blackstone Valley Consulting Inc

    Jun 2025 — Present

    SAP & Cloud Consultant · Lincoln, RI

    • Migrated Functional Locations, Equipment, and BOM data off a legacy MYOB system into SAP with virtually no downtime across US and Australia teams.
    • Built middleware integrating SAP iDocs and carrier data, moving legacy SAP workloads from on-prem to Google Cloud.
    • Hosted Vertex AI agents in GCP to aggregate customer tickets across services into a unified internal dashboard.

  • American Airlines

    Jun 2022 — May 2025

    Software Engineer — Crew Check-in, Baggage Tracking & Travel Documents · Dallas, TX

    • Owned features end-to-end for the Crew Check-in app and Baggage Equipment Tracking, deploying to Microsoft Azure within an Agile team.
    • Built automated test coverage for check-in functionality with Playwright, and piloted GitHub Copilot for the dev team.
    • Resolved cross-country travel document incompatibilities in Java, deploying to Google Cloud Run and GKE.

  • Western Digital Corporation

    Aug 2021 — Dec 2021

    Hard Disk Drive Algorithms/Firmware R&D Co-op · Rochester, MN

    • Ran statistical analysis on HDD performance characteristics with NumPy, SciPy, and Pandas.
    • Developed and tested next-generation algorithms to improve HDD throughput, including embedded onboard training workloads.
    • Set up Docker-based OS-level virtualization to host and run models.

Education

Rensselaer Polytechnic Institute

Troy, NY

B.S., Computer Science & Economics

Relevant coursework: Data Structures, Introduction to Algorithms, Operating Systems, Machine Learning from Data, Linear Algebra, Applied Game Theory, Econometrics.