PredictiveEdgeSeeker
A quant-verified sports intelligence system built on a proprietary AutoML ensemble, benchmarked against professional bettors and validated by independent quantitative reviewers.
Chief Engineer · Dallas, Texas · building in public
nolindnaidoo — everywhere that matters
A Fortune 10 trading floor. A DoD communications platform. A statewide records system. A retail program announced four years before anyone could buy anything. It’s the same engagement every time — something large that isn’t succeeding, a deadline that already passed, and a team that has to still be shipping after I leave. Three industry firsts came out of those rooms: banking, defense, and automotive retail.
Current work
On-premise AI systems for partners who can’t send their data anywhere.
I architect and scale the Offensive Edge Intelligence Platform — predictive and sentiment intelligence delivered as high-performance systems that run inside the customer’s own boundary. The differentiator isn’t the models, it’s the deployment posture: a cloudless API framework that gives enterprise and classified clients full data sovereignty, with no third-party cloud in the path.
A quant-verified sports intelligence system built on a proprietary AutoML ensemble, benchmarked against professional bettors and validated by independent quantitative reviewers.
Computational media analysis — bias, tone, and influence quantified in real time across news and social streams.
Selected work
First in banking top 6 of a 300+ division
First in DoD
First to market in production, 2017
< 2s 13 decimals
−75% cloud $40K → $10K / mo
15+ locales 500+ a11y fixes
Statewide task completion +34%
50% partner
76K+ installs and climbing
Enterprise engagements
Every one of these was a contract engagement, by design — principal consulting delivered through Robert Half. I was brought in for a specific problem, completed the contract in every case, and was offered a permanent role at the end of nearly all of them. I took the next contract instead: the permanent offers were worth less than the contract already paid, and the next problem was the more interesting one.
MIT · in public
Freeze your screen, mark regions with real shapes, and get pixel-exact coordinates machines can use — versioned JSON, labeled crops, click code, verification with exit codes, self-healing re-location.
Rust MITmacOS · Windows · Linuxcrates.io
Verified desktop interactions driven from a pixelcoords session — click, type, chord, drag, scroll at human-marked coordinates, then confirm they landed. Chained CLI, flow files, or a line protocol any language can drive.
Rust MITmacOSLine protocol
Ten zero-hassle VS Code utilities, past 76,000 installs. Secrets detection that never leaves your machine, env sync with visual diff and conflict resolution, regex with live previews and ReDoS scoring, and seven more. Being ported to Zed, with the cores republished as Rust crates.
TypeScript 10 extensions76K+ installsZed & Rust in progress
What I actually run
Claims match runs
These aren’t aspirations. Every one is written into the agent and contributor guides in my repositories, and enforced by a check that fails the build.
All of it is me