Raj Gopal
Cloud Technology Delivery Manager at Accenture Federal Services
Ashburn, Virginia, United States
Summary
👤
Senior🎓
Top SchoolRaj Gopal is a Cloud Technology Delivery Manager with over 25 years of experience translating IT investments into measurable business value across public and private sectors. He blends hands-on architecture, engineering, and operations with strategic leadership—mentoring teams, streamlining processes, and aligning technology to business goals. At Accenture Federal Services and previous roles at Pentagon Federal Credit Union and SAIC, he has led cloud, hybrid, and messaging transformations emphasizing security, resilience, and operational readiness. A pragmatic problem-solver, Raj also contributes to numerical computing open source work (notably improving core algorithms in the Chebfun library), reflecting deep technical rigor beyond enterprise infrastructure. He holds an MS in Computer Systems Engineering and an MBA, pairing technical depth with business acumen to drive feasible, well-documented solutions.
13 years of coding experience
13 years of employment as a software developer
MBA, MBA at University of Maryland - Robert H. Smith School of BusinessMS, Computer Systems Engineering, MS, Computer Systems Engineering at Northeastern UniversityBachelor of Engineering, Mechanical Engineering, Bachelor of Engineering, Mechanical Engineering at Coimbatore Institute of Technology
Github Skills (3)
numerical-analysis10
matlab10
algorithms9
Programming languages (2)
Github contributions (5)
chebfun/chebfun
Apr 2018 - Feb 2020
Chebfun: numerical computing with functions.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 8 PRs, 12 pushes in 1 year 10 months
Contributions summary:Raj primarily contributed to the core functionality of the Chebfun numerical computing library. Their work involved refactoring code, particularly removing duplicate elements and improving residue computations within the AAA algorithm. Additionally, the user removed warnings and refactored code for better modularity and reusability, focusing on the underlying numerical methods. These changes suggest a focus on improving the accuracy, performance, and overall robustness of the core algorithms.
numerical-computing
abigopal/abigopal.github.io
Oct 2023 - Jul 2024
Contributions:4 pushes, 1 branch in 9 months
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