refacto: vide-coding to get a terminal look

content/projects/ai_ml.md

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+# AI & Machine Learning Projects
+
+Experiments at the boundary of classical algorithms and modern deep learning.
+
+---
+
+## Handwritten Digit Classifier
+
+A convolutional neural network trained on MNIST, built from scratch using **PyTorch** without relying on pretrained weights.
+
+**Architecture:**
+
+```
+Input (1×28×28)
+  → Conv2d(1, 32, 3) + ReLU + MaxPool
+  → Conv2d(32, 64, 3) + ReLU + MaxPool
+  → Dropout(0.25)
+  → Linear(64×5×5 → 128) + ReLU
+  → Dropout(0.5)
+  → Linear(128 → 10)
+  → LogSoftmax
+```
+
+**Results:** 99.2 % test accuracy after 10 epochs on a single CPU.
+
+---
+
+## Sentence Similarity Engine
+
+A small semantic search tool that encodes sentences into embeddings and retrieves the most similar entries from a knowledge base.
+
+**Approach:**
+
+- Sentence embeddings via a fine-tuned BERT variant (`sentence-transformers`)
+- FAISS index for approximate nearest-neighbour search at scale
+- CLI interface — `search.py "your query"`
+
+**Use case:** powering a private personal knowledge base search over Markdown notes.
+
+---
+
+## Reinforcement Learning: Grid World
+
+A from-scratch implementation of Q-Learning and SARSA applied to a configurable grid-world environment.
+
+**Implemented:**
+
+- Tabular Q-learning with ε-greedy exploration
+- SARSA (on-policy variant)
+- Policy iteration and value iteration for comparison
+- Visualiser showing the learned value function as a heatmap
+
+**Written in pure Python + NumPy** — no RL libraries — for learning purposes.
+
+---
+
+## Anomaly Detection on Time Series
+
+A pipeline for detecting anomalies in server metric data (CPU, memory, latency).
+
+**Methods compared:**
+
+- Z-score baseline
+- Isolation Forest
+- LSTM autoencoder (reconstruction error threshold)
+
+**Outcome:** LSTM autoencoder outperformed statistical methods by ~18 % precision on labelled incidents from a personal homelab dataset.
+
+---
+
+*Press Q or ESC to return.*

content/projects/systems.md

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+# Systems Programming Projects
+
+Low-level work: operating systems, compilers, networking, and performance engineering.
+
+---
+
+## Tiny HTTP/1.1 Server (C)
+
+A from-scratch HTTP server written in C that handles concurrent connections using `epoll` on Linux.
+
+**What it does:**
+
+- Serves static files with correct MIME types
+- Handles `keep-alive` connections
+- Parses request headers manually (no third-party parser)
+- ~1,200 lines of C — intentionally minimal
+
+**Interesting problems solved:**
+
+- Non-blocking I/O with an event loop
+- Incremental parsing of chunked request bodies
+- Safe path traversal (no `../` escapes from the document root)
+
+---
+
+## Shell Implementation (C)
+
+A POSIX-compatible shell (`mysh`) supporting pipelines, redirections, background jobs, and a small built-in set.
+
+**Supported features:**
+
+- Pipelines: `cmd1 | cmd2 | cmd3`
+- I/O redirections: `>`, `>>`, `<`, `2>`
+- Background jobs: `cmd &`
+- Job control: `fg`, `bg`, `jobs`
+- Signal handling (SIGINT, SIGTSTP, SIGHUP)
+
+**Focus areas:** `fork/exec` model, `waitpid`, file descriptor management, signal masking.
+
+---
+
+## Memory Allocator
+
+A drop-in `malloc` replacement using `mmap`-backed free lists with coalescing.
+
+**Algorithms implemented:**
+
+- First-fit and best-fit strategies (switchable at compile time)
+- Boundary-tag coalescing to reduce fragmentation
+- Thread-local caches for small allocations (reduces lock contention)
+
+**Benchmarked** against `glibc malloc` on synthetic workloads — within 2× for mixed-size allocations.
+
+---
+
+## Bytecode Interpreter (Python → C)
+
+A small virtual machine that executes a simple bytecode format, written in C. The front-end compiler is written in Python and produces `.bco` files.
+
+**VM features:**
+
+- Stack-based architecture (inspired by CPython)
+- 30 opcodes: arithmetic, comparisons, jumps, function calls, closures
+- Mark-and-sweep garbage collector
+- Disassembler for debugging (`--disasm` flag)
+
+---
+
+*Press Q or ESC to return.*

content/projects/web_dev.md

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+# Web Development Projects
+
+A selection of web projects — from small tools to more complete applications.
+
+---
+
+## Terminal Portfolio *(this site)*
+
+> The page you are currently reading was itself a project.
+
+A fully static portfolio designed to look and behave like a Unix terminal. No framework, no build step — just HTML, CSS, and vanilla JavaScript.
+
+**Key features:**
+
+- CRT aesthetics: scanlines, flicker animation, bloom/glow on text
+- Blinking rectangular cursor that follows mouse clicks
+- Markdown content tree loaded from a manifest — add `.md` files without touching `index.html`
+- Keyboard navigation (arrows, Enter, Escape, Q) + mouse
+- Dynamically sized terminal window (responds to viewport changes)
+
+**Stack:** HTML · CSS (animations, custom properties) · JavaScript (ES2020) · marked.js
+
+---
+
+## Personal Finance Tracker
+
+A small single-page application to track income and expenses with monthly breakdowns.
+
+**Highlights:**
+
+- No backend — all data stored in `localStorage` with a clean JSON schema
+- CSV import/export for moving data to spreadsheets
+- Chart visualisation using the Canvas API (no libraries)
+- Fully keyboard-navigable
+
+**Stack:** JavaScript · CSS Grid · Canvas API
+
+---
+
+## REST API Boilerplate
+
+A reusable Node.js/Express skeleton with authentication, request validation, and structured logging built in — designed to be forked and extended.
+
+**Features:**
+
+- JWT-based auth with refresh tokens
+- Zod schema validation on all endpoints
+- Structured JSON logs (pino)
+- Docker Compose stack (app + PostgreSQL)
+- OpenAPI spec auto-generated from route definitions
+
+**Stack:** Node.js · Express · PostgreSQL · Docker · Zod
+
+---
+
+*Press Q or ESC to return.*