Muhammad Taha
Software Engineer with a Master's in Computer Science and experience in optimizing distributed systems for performance and reliability. Proven ability to diagnose complex production failures, improve system throughput, and engineer rigorous testing frameworks for production-grade applications.
System Changelog
Mobby AI
System Software Engineer, Core Blockchain Team
Purdue University
Head Graduate Teaching Assistant - Computer Architecture
Cisco Research & Purdue Engineering
Research Software Engineer
Purdue University
MS Computer Science
Lahore University of Management Sciences (LUMS)
Head Graduate Teaching Assistant - Distributed Systems
UIUC & IBM Research
Software Research Intern
Lahore University of Management Sciences (LUMS)
BS Computer Science
Feature Shipments (Projects)
Open-Source MongoDB Contributions
Prevented costly system downtime by identifying and fixing 5 confirmed bugs in official MongoDB Operator code due to configuration errors and resource leaks.
Distributed Key-Value Storage (RAFT)
Implemented leader election, log replication, and fault tolerance using persistent storage for a key-value storage system.
Learning Management System
Designed a full-stack web application with relational database SQL schemas for efficient storage and retrieval of learning resources for over 500 students.
In-Network Switch Aggregation
Implemented vector aggregation directly on the Data Plane using P4 for programmable switches, offloading weight aggregation from mobile GPUs to optimize distributed ML inference.
Engineering Logs
Zombie Futures & Storage Panics
Eliminated recurring storage panics by implementing safe future recovery logic. How I used state overwrites to handle dropped futures during read request timeouts.
Consensus Failure via Float Determinism
Prevented distributed state corruption by replacing non-deterministic floating-point operations with fixed-point arithmetic, eliminating minute precision errors.
Automatic Testing Framework for K8s Operators
How we modeled the Kubernetes reconciliation loop to find 50+ critical bugs in production operators like Kafka and Knative, reducing false positives by 58%.
Full logs available in internal archive
./access_logs.sh --all