Achilles Rasquinha is a seasoned full-stack engineer with 11 years of experience building scalable web and backend systems, currently raising the bar for CRM security infrastructure at Amazon from Madison, WI. He combines production-grade backend expertise (Python, NodeJS, Redis, SpringBoot) with front-end and build automation experience, having improved libraries for tree-shaking and modular imports in popular open-source projects like frappe/charts. His background spans building browser-native scientific and biological tooling—compiling GLPK to WASM for client-side linear programming and visualizing large metabolic pathways—demonstrating an ability to shrink heavy computations into elegant user experiences. A proven open-source contributor and maintainer, he has led Python 2→3 migrations, CI/DevOps automation, and performance-focused refactors across ERPNext and Frappe ecosystems. Achilles mentors teams, having managed and launched intern projects, and brings a habit of automating repetitive work—both at code and operational levels—to continually reduce toil. He pairs academic machine-learning research in bioinformatics with production engineering, making him comfortable moving between research prototypes and hardened production systems.
11 years of coding experience
5 years of employment as a software developer
Junior College, Science, HSC - 77 %, Junior College, Science, HSC - 77 % at St. Xavier's College
Master's degree, Computer Science, Master's degree, Computer Science at University of Nebraska-Lincoln
High School, SSC - 89.45 %, High School, SSC - 89.45 % at Holy Family High School
Bachelor’s Degree, Computer Engineering, CGPA - 8.55, Bachelor’s Degree, Computer Engineering, CGPA - 8.55 at University of Mumbai
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Role in this project:
Full-stack Developer
Contributions:71 commits, 22 pushes, 8 branches in 8 months
Contributions summary:Achilles primarily contributed to the development of the deep learning-based stock market prediction library. Their work included adding documentation, implementing a base class and share entities, and integrating plotting capabilities. The user also made changes to the GUI and CLI, and expanded the functionality of splitting data for training and testing within the project.
Low code web framework for real world applications, in Python and Javascript
Role in this project:
Full-stack Developer
Contributions:500 commits, 403 PRs, 154 pushes in 1 year
Contributions summary:Achilles's contributions primarily involve front-end development, including fixing file URL fetches and removing comments within JavaScript files related to form controls. Their work also encompasses backend changes such as adding and modifying options. Furthermore, the user has shown involvement in code linting and build process improvements, including adding new features to build.py to force copy assets, and fixing how these are handled when building the project.
cmspythonzammadfrappecommunity-management
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