Welcome

Chamar Williams

CS student at Temple University focused on systems design, distributed applications, and backend infrastructure. Interested in building reliable, performant software with an emphasis on networking, scalability, and clean architecture.

Resume & Skills

Experience & Education

Computer Science Student
Temple University (Graduating 2027)
Coursework in networking, systems design, and advanced programming. Active in projects spanning backend services, infrastructure, and interactive applications.
Software & Systems Developer
Personal & Collaborative Projects
Designed and deployed real-time, networked applications with a focus on reliability, observability, and performance across client–server boundaries.

Skills

Lua Scripting
JavaScript/Node.js
SQL Databases
Client–Server Architecture
Networking & Protocols
Game/Realtime Systems
Git & Version Control
Performance Optimization

Expertise Areas

Multiplayer & Networked Systems
Client-side prediction, server reconciliation, lag compensation, and netcode architecture for responsive, networked experiences.
Systems & API Design
Designing clear interfaces, event-driven architectures, and robust state management for scalable services and tools.
Performance & Reliability
Latency masking, bandwidth reduction, server load balancing, and real-time performance monitoring across distributed systems.
State & Data Management
Consistency checking, synchronization strategies, and replay-style systems for debugging and analysis.
Download Resume PDF

Latest Articles

November 26, 2025

Server-Authoritative Systems: Architecture & Implementation

Deep dive into building exploit-resistant, server-authoritative architectures with client-side prediction and server validation for real-time apps.

Systems & Netcode
November 20, 2025

Designing Responsive Realtime Interactions

Exploring timing-sensitive systems, interpolation, and synchronization techniques for smooth user experiences under real-world latency.

Realtime Design
November 15, 2025

Optimizing Bandwidth in Networked Applications

Techniques for reducing network traffic: delta compression, interest management, and selective state synchronization in large-scale environments.

Optimization

All Projects

🌐

Networked Services Layer

Scalable client–server communication layer with packet compression, state synchronization, and latency masking strategies for real-time applications.

Lua Networking
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⚙️

Systems & Tools Framework

Modular framework for rapid feature iteration, including event systems, state machines, logging, and debugging utilities.

Architecture Framework Design
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📊

Performance & Monitoring Toolkit

A lightweight analysis tool that runs algorithms against configurable input sizes and records how their runtime, memory usage, and storage footprint scale in practice. It wraps target functions with instrumentation, collects timing and allocation metrics, and then summarizes the results so different implementations can be compared on real-world performance, not just theoretical Big-O.

Optimization Metrics Backend
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Let's Connect

Open to discussing software engineering, networking, infrastructure, internships, and collaborations. Reach out below.