Research & Publications
Two published books, applied research on neural simulation at scale, and open-source frameworks maintained in public — plus the reading list and toolbox behind the work.
Published Books
Two books documenting the methodology behind the supply-chain and world-economy simulation work — how multi-layer perceptrons can model systems as large as an international supply chain or the global economy itself.
Simulating the Entire World Economy with Multilayer Perceptrons
ISBN: 979-828080999-4
The world-economy simulation work — how a hierarchical multi-layer perceptron architecture can model the interacting economies and sectors of the entire globe.
View on AmazonCreating a Simulation of an Entire International Supply Chain Using Multi-Layer Perceptrons
ISBN: 979-828041476-1
The methodology behind the 25-module supply chain simulator — modeling an international supply chain end to end with deep neural networks.
View on AmazonApplied Research
Research on what multi-layer perceptrons can be pushed to do at scale — from computing itself to macroeconomic forecasting and large language models built from scratch.
Realizing a Fully Functional CPU Using Multi-Layer Perceptrons
A paper on neuromorphic computing: a fully functional CPU realized with 25M+ perceptrons across 3k+ layers — computation itself, rebuilt from neurons.
Read the Paper (PDF)H-MLP World Economy Model
Published research: a 23M-parameter hierarchical MLP simulating 155 economies and 45 sectors, beating VAR-X, DSGE, and Transformer benchmarks by 30% over 12-quarter forecasts.
Impersona
A 2B+ parameter character-level Transformer LLM with custom multi-head attention, built from scratch and used to produce long-form content for 7 client projects.
Frameworks I Build in the Open
Five projects I maintain publicly — from securing AI agent systems and benchmarking quantum finance algorithms to a Rust plotting library and a Hinglish programming language, part of 36 public repositories and 16 published packages across PyPI, npm, and crates.io.
AASTF — Agentic AI Security Testing Framework
A Python framework for security-testing AI agent systems — the model plus its tools, memory, and planning loops, not just prompts. Ships with 130+ built-in attack scenarios mapped to the OWASP Top 10 for Agentic Applications, VULNERABLE / REFUSAL_ECHO / SAFE verdicts, sandboxed tool backends with no side effects, a LangGraph adapter plus experimental CrewAI, OpenAI Agents, and PydanticAI adapters, 25 MCP security scenarios, SARIF output for CI/CD, and EU AI Act readiness scoring. MIT licensed.
View on GitHub Project detailsqufin — Quantum-Enhanced Quantitative Finance
An open-source framework where every quantum algorithm ships alongside the best classical solver for head-to-head benchmarking: 159 modules, 14 subpackages, and 11 backends including Qiskit, PennyLane, Cirq, Braket, CUDA-Q, D-Wave, IonQ, and Quantinuum. Covers portfolio optimization (QAOA, VQE, annealing vs Mean-Variance, Black-Litterman, HRP), option pricing with six QAE variants vs Black-Scholes and Monte Carlo, quantum VaR via HHL, and eight error-mitigation strategies. One command away: pip install qufin.
View on GitHub Project detailsaiguard — Security Harness for CLI Coding Agents
A portable security harness for CLI coding agents, written in Rust as an 11-crate workspace — it sits between the agent and your local system, intercepting tool calls with layered checks: prompt-injection detection (80+ rules with zero-width Unicode and base64 payload checks), secret redaction (52 gitleaks-compatible patterns with entropy gating), MCP tool pinning with SHA-256 pins and rug-pull alerts, shell/path deny rules, tamper-evident audit logging, and a session-replay TUI. Supports 8 agents including Claude Code, Codex CLI, Gemini CLI, Aider, and Goose — dual-licensed Apache-2.0/MIT.
View on GitHub Project detailsplotkit — Pure-Rust Plotting Library
A pure-Rust plotting library — publication-quality plots in three lines of Rust, with a matplotlib-familiar API (pyplot facade plus a Figure/Axes model), 16 chart types, and PNG/SVG/PDF output. Ships with 7 themes, 14 perceptual colormaps, first-class Polars and ndarray integration, a WASM/canvas backend, and an embedded font for deterministic rendering — no GPU or system dependencies, dual-licensed MIT/Apache-2.0.
View on GitHub Project detailsadarshLang — A Hinglish Programming Language
A Hinglish-flavoured programming language built for fun demos and workshops, with keywords like badlo (variables), dikhao (print), and agar/warna (if/else). The full pipeline — lexer, parser, semantic analyzer, and interpreter — is written in Python, with a REPL and a live Flask web playground.
View on GitHub Try the PlaygroundWhat I Recommend Reading
Books I keep coming back to — and recommend to clients more often than any tool or framework.
The Pragmatic Programmer
Hunt & Thomas — The mindset book. Most of what clients pay consultants for is in here: tracer bullets, good-enough software, owning your craft.
Designing Data-Intensive Applications
Martin Kleppmann — The clearest thinking in print on databases, replication, and the trade-offs behind every architecture decision I make.
The Web Application Hacker's Handbook
Stuttard & Pinto — To defend an application you have to understand how it gets attacked. Still the foundation of every security review I run.
The Phoenix Project
Kim, Behr & Spafford — A novel about IT that every non-technical founder should read. Explains why work-in-progress is the silent killer of delivery.
Co-Intelligence
Ethan Mollick — The most level-headed take on working with AI — useful for deciding what to automate and what to keep human.
The Mom Test
Rob Fitzpatrick — How to ask questions that get honest answers. I use it in every discovery call before writing a line of code.
What I Work With
The tools I reach for every day.
Frontend
React, Next.js, TypeScript, Tailwind — fast interfaces that hold up under real users.
Backend
Node.js, Python (FastAPI/Django), PostgreSQL, Redis — boring, proven, maintainable.
AI / LLM
Claude & OpenAI APIs, RAG pipelines, embeddings, and custom Transformer models — with evaluation harnesses for production AI.
Automation
Workflow orchestration, queues, webhooks, and integrations that glue your systems together.
Cloud & DevOps
AWS, Docker, CI/CD, infrastructure-as-code — deploys you can trust on a Friday.
Security
OWASP tooling, agentic AI security testing, dependency scanning, threat modeling, secure code review.
Data & Quant
ETL pipelines, analytics dashboards, and quantitative finance models — valuation engines, derivatives analytics, and quantum-enhanced optimization.
Delivery
Weekly demos, written decision logs, and documentation your next hire can actually onboard from.
Want to put this research to work?
Tell me what you're building — AI systems, quantitative models, or something in between. First consultation is free, and I reply within 24 hours.