Proof Of Work

This page is supporting proof, not the first commercial conversation. Start with the decision problem, then use these case studies and builds to verify that the operating and technical depth is real. Forecasting, pricing, margin, CRM, governance, and decision systems come before tool choice.

Commercial Decision Problems Solved

Public-safe summaries of forecasting, pricing, margin, CRM, governance, and workflow problems repaired in live operating environments.

Forecasting & CRM Governance

Forecast Governance Reset

Public-safe engagement summary: forecasts were overstated or inconsistent because CRM behavior, stage discipline, and accountability varied across markets.

  • Diagnosed governance and behavior root causes before modeling
  • Improved review cadence and sales-cycle assumptions
  • Helped leadership move toward stronger forecast confidence

KPI & Reporting Governance

Commercial Analytics Foundation

Public-safe engagement summary from a broader foundation-fix brief: Sales, Finance, and leadership lacked one trusted view across revenue, margin, pricing, and opportunity data.

  • Standardized KPI definitions and improved reporting ownership
  • Supported centralized Power BI model and governance direction
  • Reduced conflicting narratives and improved decision speed

Commercial Leadership

Sales Engine From Zero

A new market required a functioning commercial engine under severe operating constraints.

  • Built targeting, distributor identification, and operating rhythm from scratch
  • Connected process, prioritization, and analytics to execution discipline
  • Delivered major growth improvement against the original target

Pricing & Margin Logic

Margin And Pricing Logic Repair

Pricing, FX, cost, rebate, and incentive logic distorted how leadership interpreted commercial performance.

  • Rebuilt decomposition logic and aligned methodology
  • Identified defects creating margin distortion across markets
  • Improved pricing and margin interpretation for leadership

Workflow Enablement & Governance

Applied AI Enablement

Leaders wanted faster analysis and workflow leverage, but teams lacked shared language, governance, and practical use cases tied to real commercial decisions.

  • Built training and enablement around practical business use cases
  • Connected governance, operating model, and adoption rather than hype
  • Positioned AI as a decision-system capability, not a side experiment
Modeling Systems 2024–Present Active

Algorithmic Trading AI System

Built to answer a hard operational question: how do you run research-heavy model development without letting fragile models leak into live execution? This trading estate separates experimentation from production execution, enforces promotion gates through shared contracts, and keeps live operations observable in real time. Underneath, the platform spans three interconnected repositories (tf_1, Trading-Win, Trading-WSL). The ML engine trains four model categories: hourly macro-regime classifiers (5-class directional labels STRONG_SELL→STRONG_BUY), high-frequency seconds-bar models with 30-minute lookback windows, multi-task L2 order book models predicting direction + bid-ask spread transitions + market impact regression, and a pre-market gap-opener ranker scoring probability of intraday moves from float, short ratio, relative volume, and news sentiment. Models are gated through a JSON-Logic promotion pipeline enforced via a shared ml-contracts schema repository (git submodule). The execution layer manages headless IBKR Gateway sessions (paper + live), appends market data to Parquet manifests, and consumes only models tagged production.alias. A shared FastAPI notification microservice (TelegramNotifications) delivers real-time alerts across the estate.

Key Highlights

  • Models: 4 model categories: hourly, seconds, L2 order book (multi-task), gap opener
  • Experiments: 19 W&B training campaigns (Nov 2025 – Feb 2026)
  • Infrastructure: 3-repo estate with shared contract governance via ml-contracts submodule
  • Data Ingestion: Databento L2 order book + IBKR historical bars in append-only Parquet manifests
TensorFlow / Keras scikit-learn W&B (Weights & Biases) Interactive Brokers API (ibapi) Databento (L2 order book) FastAPI Pandas / PyArrow / Parquet JSON Schema / JSON-Logic Python CUDA (GPU training) Docker pytest / CI

Technical Build Proof

Production systems that demonstrate the technical depth behind the commercial work.

Illustration representing the AI Memoir & Narrative Pipeline project

Document Intelligence

2025–Present

AI Memoir & Narrative Pipeline

Document-intelligence workflow proving retrieval quality, editorial control, and auditability in long-form decision content.

Business relevance: Document intelligence, retrieval quality, editorial control, and audit-friendly workflow design.

LLM APIs (OpenAI-compatible) FAISS (semantic search) sentence-transformers (all-MiniLM-L6-v2) spaCy 3.7 python-docx / pypandoc
  • FAISS-powered semantic retrieval over fragmented long-form source material
  • LLM-backed proposal generation with atomic chapter patch application
  • Narrative safeguards enforced on every pipeline run — not just at export
Illustration representing the AI Desktop Agent Orchestrator project

Workflow Automation

2025–Present

AI Desktop Agent Orchestrator

Workflow orchestration framework proving process control, QA scoring, productivity measurement, and cost observability across autonomous agents.

Business relevance: Agent orchestration, process control, QA scoring, productivity measurement, and cost observability.

Python OpenAI Computer Use API pyautogui pyvda (virtual desktop management) uiautomation
  • OpenAI Computer Use API for visual button detection — no brittle pixel coordinates
  • Round-robin prompt distribution across simultaneous Copilot agent panels
  • Auto-generates fresh prompts from live project docs when agents go idle for 1 hour
Illustration representing the Multilingual Travel Authorization SaaS project

Platform Delivery

2025–Present

Multilingual Travel Authorization SaaS

Compliance-first multilingual travel authorization SaaS proving regulated workflow design, policy monitoring, and full-stack delivery across payments, auth, and compliance.

Business relevance: Compliance workflows, policy monitoring, full-stack delivery, payments, authentication, accessibility, and production testing discipline.

Next.js 14 (App Router) TypeScript TailwindCSS PostgreSQL / Prisma Clerk (authentication)
  • LLM-powered automated scraping + analysis of government sites for policy change detection
  • Wizard-based multi-step application flows with family and group support
  • Full fee transparency compliance framework (government vs. service fee breakdown)

Start With The Diagnostic Review

If forecasting, pricing, margin, CRM, dashboard sprawl, or workflow prioritization are slowing the business down, the first step is to diagnose the decision system properly.