Mufaddal Makati is a Senior Lead Software Engineer and founder with 10+ years of experience building scalable full‑stack and AI-driven products from startup to enterprise. He founded Hissab, an AI-powered natural language calculator that combines fine-tuned LLMs, RAG, function-calling and vector search with a modular, production-ready architecture he designed and operates. At companies including Amazon, Goldman Sachs and Warner Music Group he has led cross-functional teams, established CI/CD and micro-frontend/module‑federation strategies, and shipped reliability improvements for widely used open-source tooling like AWS SAM and SAM CLI. He holds two tech patents from his work on Wi‑Fi steering and network algorithms, reflecting a background in systems-level research and inventive problem solving. Comfortable across frontend, backend and DevOps, he blends hands‑on coding with product and onboarding leadership, and has a track record of reducing operational pain through pragmatic refactors and automation. Based in Toronto, he brings an uncommon mix of startup founder grit, enterprise delivery experience, and open-source contributions to cloud developer tooling.
10 years of coding experience
9 years of employment as a software developer
Master's degree Network and System Administration/Administrator, Master's degree Network and System Administration/Administrator at Rochester Institute of Technology
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at Gandhinagar Institute of Technology
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:8 reviews, 11 commits, 13 PRs in 1 year 5 months
Contributions summary:Mufaddal primarily focused on fixing bugs related to the deployment process, specifically addressing issues where the AWS region was not correctly displayed. They made several code changes, adding functionality to handle S3 ARNs in the deploy and package commands and providing support for the `--resolve-s3` parameter in non-guided deployments, which suggests a deep understanding of deployment processes. Furthermore, the user addressed integration issues and improved the way the Node.js debug paths are handled, indicating a focus on the robustness of the testing infrastructure. They collaborated with other developers on many of the features.
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:20 reviews, 5 commits, 12 PRs in 20 days
Contributions summary:Mufaddal primarily focused on fixing bugs and improving the stability of the serverless application model. Their work involved validating API request models, resolving exceptions related to Swagger models and resource policies, and addressing issues with default authorization and user pool references. Additionally, the user fixed issues related to regex in basepaths, potential key errors, and resolved crashes related to invalid method definitions and null mappings. Their contributions included modifications to the `samtranslator` and tests directories.
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Mufaddal Makati - Senior Lead Software Engineer at Hissab