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| ⚡ CURRENT_ACTIVE_BUILD // PRIMARY PROJECT | |
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| 🏛️ FEATURED_PROJECTS & REPOSITORIES |
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BROWSER ENGINE • RUST
A modular, cross-platform browser rendering engine written in Rust. The long-term goal is to build an end-to-end browser with tabs, history, basic devtools, and a custom rendering pipeline.
● Rust
WGPU
DisplayLists
Parallel Pipeline
AI MIDDLEWARE • GO
AI-powered middleware for server optimization, performance telemetry, and real-time anomaly detection.
● Go
AI Middleware
Server Optimization
Anomaly Detection
LOCAL AI • JAVASCRIPT
A privacy-first AI productivity coach for Windows that tracks focus time and activity patterns locally without cloud dependency.
● JavaScript
Local AI
Privacy-First
Windows Tooling
DATA ARCHIVAL • JAVASCRIPT
Internet Archive data organizing tool for snapshotting, indexing, and structuring web content collections.
● JavaScript
Data Archival
Web Snapshots
KNOWLEDGE INFRASTRUCTURE • TYPESCRIPT
Notekeeper and structured knowledge system built with type safety and fast lookup workflows.
● TypeScript
Knowledge System
Type Safety
MACHINE LEARNING • JUPYTER NOTEBOOK
Repository for displaying machine learning models, neural network experiments, and evaluation datasets.
● Jupyter Notebook
Machine Learning
PyTorch / Model Research
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| 🧠 TECHNICAL_DOMAINS & RESEARCH |
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01 // SYSTEMS & GRAPHICS
Systems Programming & Rendering Pipelines
Building GPU rendering pipelines, display list rasterization algorithms, memory-safe data structures, and low-level browser architecture from first principles.
WGPU Surface
DisplayLists
MemorySafety
LayoutTree
02 // AI MIDDLEWARE & SERVER SYSTEMS
AI Middleware & Performance Telemetry
Designing AI-powered middleware for server optimization, anomaly detection, real-time performance telemetry, and system automation.
Go Middleware
Telemetry
Anomaly Detection
03 // LOCAL AI & DEVELOPER TOOLING
Local AI Productivity & Knowledge Systems
Creating privacy-first AI productivity tools, Windows desktop integrations, structured knowledge stores, and data archival platforms.
Privacy-First AI
Windows Tools
Archival Systems
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| 🎯 ENGINEERING_METHODOLOGY |
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01 / FIRST PRINCIPLES
Understanding the Full Stack
Gaining complete clarity on every transformation between high-level code abstractions, runtimes, frameworks, and low-level hardware.
02 / POLYGLOT & ADAPTABLE
Tool-Agnostic Problem Solving
Selecting the optimal language, runtime, or framework for the problem—whether Go for server middleware, Rust for low-level engines, TypeScript/JS for full-stack tools, or Python for ML.
03 / QUIET ARCHITECTURE
Intentional Design
Building honest, resilient software focused on functionality, technical rigor, and long-term clarity over superficial fluff.
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| ENGINEERING_JOURNEY // EVOLUTION OF CURIOSITY |
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Curiosity ➔
Automation ➔
Backend ➔
Machine Learning ➔
Dev Tools
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"I enjoy understanding how software works from the ground up."
KESHAV GHAI • SOFTWARE ENGINEER • BUILDING FROM FIRST PRINCIPLES
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