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Updated August 28, 2026. Hover any figure for its source.

Neil Mahure

Applied AI Engineer

San Francisco Bay Areaneil.mahure@gmail.com(310) 499-3143linkedin.com/in/neilmahuregithub.com/croresnos

Builds agentic AI systems from LLM primitives rather than framework assembly: provider orchestration, hybrid retrieval, and MCP tool integration. The current build is an operating layer between the user and the host machine, where model output becomes a system action only after it clears a per-tool authorization gate, so the action executed is the action approved. ~261,000 lines across 8 repositories, on a delivery background in enterprise finance systems and go-to-market operations.

AI Systems & Engineering Projects

Agentic Personal AI Operating System (J.A.R.V.I.S.)

Python · Rust · FastAPI · Claude / Gemini / DeepSeek · MLX · LanceDB · SQLite · Next.js · Tauri

  • Placed a persistent agent layer between the operator and macOS, executing host actions through one gated surface
  • Built the agent router on raw LLM primitives rather than a framework, dispatching by task type across 6 providers
  • Routed 31 MCP tools through one authorization chokepoint, so every host write clears a per-tool permission check
  • Cut symbol resolution to a graph lookup, pairing LanceDB vector recall with a filtered AST dependency graph
  • Tied every phase release to a requirement-id trace over the full suite; the last complete run stood at 2,113 passing
  • Traced 2,122 tests to 627 requirement ids, so no phase ships with a requirement nothing exercises
  • Wrote ~111,000 lines across 683 commits in Python, Rust and TypeScript, under unit, integration and mutation suites
  • Ran adversarial evaluation and the voice interface on-device under MLX on Apple Silicon, with no network call
  • Kept the stack self-contained, running DeepSeek-R1, MLX-Whisper, Kokoro TTS and Openwakeword locally
  • Specified later phases (sandboxed execution, a Rust authority kernel, multi-device operation) as designed, not built

LLM-Orchestrated Desktop Assistant, Exposed as an MCP Server (F.R.I.D.A.Y.)

Python · FastAPI · OpenAI · Pydantic · OAuth 2.0 · WebAuthn · Faster-Whisper · Twilio

  • Shipped a desktop assistant into daily use by 1 real user, across Gmail, Calendar, Tasks and WhatsApp
  • Exposed the assistant as an MCP server, so another agent drives it through the same authenticated tool surface
  • Implemented Google OAuth 2.0 with scoped consent and refresh-token handling, plus WebAuthn passkey authentication
  • Rendered cards, charts, tables and navigation in a Tauri client from Pydantic structured outputs
  • Reached daily use in 5 weeks, at 57,723 lines and 579 tests across 129 commits, for one non-technical user
  • Frozen at v1.0 deliberately. The authority problem it surfaced outweighed the next feature and became the gateway below
  • Added Faster-Whisper speech-to-text and Twilio call and SMS alerting, so voice commands return live context

Local MCP Authorization Gateway with a Durable Effect Ledger (VERONICA)

Python · MCP (stdio) · SQLite · HTTP approval surface · pytest

  • Interposed a local gateway on an agent's MCP tool calls, holding every external effect for human approval
  • Refused any call rewritten between the approval card and the wire, recording approved intent beside executed fact
  • Proved the gated path end to end against a live Claude Code session and a real upstream server
  • Surfaced 10 defects in the first live session against a green unit suite, then tested the class the suite structurally missed
  • Disclosed the reversal class before each call, failing closed to irreversible wherever nothing can classify one
  • Credential custody is designed and not built. The gateway and the ledger run; the vault is the next thing owed
  • Extracted from the assistant above at v1.0, on the finding that an agent's report and its effect are different objects
  • Carries 3,877 lines and 67 passing tests across 17 commits, as a working slice rather than a shipped product

Environment Preflight Validation Library

Python · pytest · TOML

  • Halted execution on 19 manifest checks before first import, turning a late runtime traceback into a startup refusal
  • Scoped it to refuse rather than repair, so a failed check never leaves a half-corrected environment behind it
  • Reached feature-complete at 150 tests across 7,979 lines, installed from source rather than published to PyPI

Multi-Agent Trading Research Platform (Stocker & Gambler)

Python · PostgreSQL / pgvector · XGBoost · scikit-learn · Alpaca · Kalshi · Polymarket

  • Coordinated specialist agents across sentiment, prediction, risk, memory and execution over three trading venues
  • Compressed a strategy question from an overnight job to 11.1s with a vectorized backtest replay
  • Gated the live path behind win-rate thresholds, drawdown kill-switches and budget caps. Every position remains paper
  • Replayed 89 × 250 × 24 to reach that figure, fast enough to stay inside a research loop
  • Logged every agent decision to a pgvector telemetry store, feeding signal quality and win rates into tuning
  • Built the lab across 59,393 lines and 668 tests, with the live execution path closed until a strategy clears

Professional Experience

Strategy & Operations Analyst, Accrete Consulting

  • Supported an SAP ECC to S/4HANA conversion across 30+ legal entities, cutting month-end close from 10 days to 6
  • Recovered the undocumented reporting logic behind 100K+ client records and rebuilt it in SQL, Python and Tableau
  • Automated multi-step consolidation into dashboards, cutting reconciliation errors 30% across entities
  • Configured and validated SAP FICO across AP, GL, intercompany and fixed assets, owning migration validation and UAT
  • Surfaced anomalies the client had read as process error, and standardized OKR and KPI tracking across entities

GTM Campaign Manager, Analyst & Recording Engineer, NOGXNRE Records

  • Drove full-cycle go-to-market for 5 artists, growing one release 100K to 1M in two weeks on playlist placement
  • Engineered VBA royalty tracking across a $100K+/month catalog, recovering $1K-$10K in missed payments each cycle
  • Grew catalog revenue 14% over one year on rolling streaming and sync payouts across the same catalog
  • Ran paid activation across Spotify, YouTube and Instagram, coordinating release timing, creative and distribution
  • Mixed and mastered for major-label artists including DIVINE, Karan Aujla, Jonita Gandhi, PapiTHBK, Samara Cyn and Prznt

Business Strategy & Operations Analyst, Influencer Management & Media Agency

  • Delivered monthly executive reporting on OKR/KPI frameworks (MRR, LTV/CAC, churn) for 10+ creator-economy clients
  • Standardized deliverables and launch-readiness tracking into templates, cutting reporting overhead 30%

Strategy & Data Analyst, Zara

  • Replaced manual reporting for 300+ SKUs with a SQL-fed VBA dashboard, cutting the weekly cycle from 3 days to 1

Technical Skills

AI Engineering (built)

Agent Orchestration from Primitives · Multi-Agent System Design · Agentic Loops with Verification Gates · Hybrid Retrieval (Vector + AST Dependency Graph) · MCP Integration & Exposure · Function & Tool Calling · Context Engineering · Prompt Architecture · Structured Outputs · LLM Evaluation & Adversarial Testing · Requirements Traceability · Local Inference · FastAPI Services

Languages & Tools

Python · TypeScript / JavaScript · Rust · SQL · Node.js · React · Next.js · Tauri · FastAPI · asyncio · PostgreSQL · pgvector · SQLite · LanceDB · MLX · pytest · vitest · Playwright · Vite · Cloudflare Workers · Git · Tableau · Advanced Excel (VBA)

Platform & Delivery

Authentication & Authorization (OAuth 2.0, WebAuthn) · Access Control & Permissioning · Threat Modeling · Fail-Closed Design · Secrets Management · API Design · Data Modeling · CI Gating · WCAG 2.2 AA Accessibility · Zero to One Delivery

Familiar With

LangChain · LlamaIndex · LangGraph · CrewAI · Docker · agent observability and tracing tooling

Education & Certifications

Loyola Marymount University

B.A. Business Administration, Entrepreneurship

Certifications

AWS AI Practitioner (in progress, September 2026) · Bloomberg Market Concepts · DeepLearning.AI Generative UI Agents