Projects

A curated set of projects chosen to showcase systems thinking, AI infrastructure direction, and security mindset.

Custom Static Site Generator (C++17)

This portfolio is generated by a static site generator I wrote in C++.

Highlights

• Parses Markdown and emits HTML using a simple template system
• Supports headers, emphasis, lists, links, images, code blocks, and paragraphs
• Uses C++17 to walk the content/ directory and generate pages into docs/
• Auto-build navigation from available .md files
• Includes helper scripts and a GitHub Actions workflow for automatic deployment to GitHub Pages

Why it matters

• Demonstrates C++ proficiency, file I/O, string processing, and basic parsing
• Shows that I can build tooling around my own workflow
• Exhibits CI/CD awareness via GitHub Actions and static hosting

ThreatLens — ML-Powered Security Analytics

An ongoing project to build an ML pipeline for network-style threat / anomaly detection.

Stack

• Python, PyTorch, NumPy, Pandas
• Experiment tracking with simple logging and plans to integrate MLflow
• Docker for containerization

Core ideas

• Treat traffic / event sequences as time-series and experiment with LSTM / CNN-style architectures
• Focus on latency and throughput (how fast can we score events?)
• Design training, evaluation, and (eventually) serving loops that mirror real production constraints

What it shows

• Ability to move from raw data → features → models → evaluation
• Understanding of trade-offs between complexity and deployability
• Direct connection to Security AI / fraud / anomaly detection roles

AI Infrastructure Roadmap (Meta-Project)

A written, time-bound roadmap to grow into an AI infrastructure / ML systems engineer, covering:

• 4+ months of structured work in Python, PyTorch, DSA, distributed systems, and ML system design
• Integration of DDIA, MIT 6.824, Chip Huyen, Alex Xu system design resources
• Continuous LeetCode and system design practice targeted at real interviews:contentReference[oaicite:1]{index=1}

Why list a roadmap as a project?

• It is concrete and visible: a living document with milestones, not a vague intention
• It demonstrates planning ability and self-management
• It signals to recruiters that I am serious about AI infra, not generic “AI”

(Optional) Research & Writing

If applicable/available, you can highlight:

AI Collaboration: Shared vs. Individual Contexts

A research initiative on how groups collaborate with AI tools:

• Compares shared group context vs individual context when using LLMs
• Looks at information sharing, dominance, and creativity in group problem-solving
• Connects social-informatics theory with practical AI tool design

This work shows:

• Ability to reason about complex socio-technical systems
• Comfort reading and synthesizing research literature
• Interest in how tools shape collaboration and cognition

What I want to build next

• A small distributed key-value store (Raft-based) to deepen distributed systems expertise
• A model serving stack (FastAPI / TorchServe + Docker + basic Kubernetes)
• A simplified market data / order book simulator to connect infra skills with quant-style workloads

If any of this aligns with the work your team does, I’d be happy to discuss technical details.