Mohammad Warid

Led development of full-stack data processing and anomaly detection platforms for CMS detector monitoring, orchestrating ETL workflows and RESTful APIs with ML-powered detection. Maintained Python-based data quality monitoring systems and integrated C++ and JavaScript components.

Developed an end-to-end MLOps pipeline using PyTorch for particle collision event classification, processing large datasets on HPC clusters with distributed multi-GPU training.

Contributing to the skore project to enhance machine learning and data science testing and visualization capabilities.

Triaged and resolved ServiceNow tickets, provided on-call incident response, and operated production observability for enterprise Kubernetes clusters. Built Go/PostgreSQL REST APIs and standardized GitOps workflows.

Architected Python and Java REST microservices for a large CMS collaboration, built Vue.js UI components, and established CI/CD pipelines. Automated database synchronization and coordinated OS migrations with zero downtime.

Built Spark ETL pipelines for Ethereum blockchain data, architected Kafka ingestion, and developed analytics dashboards. Containerized the analytics stack and implemented OAuth 2.0 with RBAC.

Adapted pruned nodes and compact blocks in C++ based bitcoin-core network, implementing Bitcoin protocol standards in the bcoin library. Analyzed network traffic using Wireshark.

Architected an Etherpad plugin integrating with CS3 Science Mesh EU WOPI REST API, published an NPM package, and implemented real-time collaborative file synchronization.

Architected a wrapper REST API for a C++ CLI using Python Flask, led a team to design a VueJS dashboard, and deployed infrastructure on GCP using Terraform.

Redesigned a JavaScript spectrometry library and built a responsive UI, increasing test coverage by 30% using Capybara, Selenium, and Cypress.

Grade: Magna cum laude

Bachelor’s in Computer Science Engineering, graduated with Magna cum laude.

Completed the Front End Nanodegree program.

Completed the React Nanodegree program.

Completed the Linux System Administration course.

Completed the Taming Big Data with Apache Spark and Python course.

Completed the Machine Learning Specialization.