Zp Bappi
Principal Consultant AI, SaaS, And Modernisation
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolZp Bappi is a Principal Consultant specializing in AI, SaaS, and modernisation with over a decade of hands-on experience across .NET, cloud-native architectures, and machine learning. He blends deep backend expertise (C#, F#, ASP.NET) with modern front-end skills (React, TypeScript) and production container orchestration using Docker and Kubernetes. At AWS he helped shape SaaS reference architectures and now leads AI and modernisation efforts, while his consultancy roles focused on migrating legacy systems to microservices, CI/CD, and cloud platforms. An active open-source contributor, he has improved core F# data parsing in the popular FSharp.Data library and maintains a widely used multi-currency C# money class. Beyond professional projects he experiments with quantum computing (Q#/qiskit) and automates household IoT devices with Raspberry Pi, showing a practical curiosity that spans bleeding-edge research to pragmatic engineering.
11 years of coding experience
17 years of employment as a software developer
B.Sc. Computer Science and Engineering, B.Sc. Computer Science and Engineering at Bangladesh University of Engineering and Technology
English, Bangla
Stackoverflow
121reputation
3kreached
11answers
0questions
Github Skills (18)
json10
data-set10
data-model10
user-data10
fsharp10
data-access10
type-providers9
xml9
csv7
deep-learning6
backpropagation6
cntk6
machine-learning6
spreadjs6
python6
Programming languages (10)
Github contributions (5)
fsprojects/FSharp.Data
Aug 2016 - Oct 2018
F# Data: Library for Data Access
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 commits, 3 PRs, 22 comments in 2 years 2 months
Contributions summary:Zp primarily contributed to enhancing the F# Data library's data access capabilities, specifically focusing on datetime and datetimeoffset parsing and conversion from strings within the project. Their work included adding and improving support for parsing ISO 8601 formatted date and time strings, including those with time zones and offsets, to DateTime and DateTimeOffset types. They updated code across multiple modules, including text conversion, structural inference, JSON and XML conversions, and the common provider implementation to support this new functionality and ensure data type consistency. These changes increased the flexibility and usability of the library for data access, particularly in handling time-based data.
csvdatadata-accessfsharpxml
zpbappi/zpbappi.github.io
Jun 2015 - Sep 2021
Contributions:155 commits, 108 pushes, 1 branch in 6 years 4 months
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