Brendan Lynskey, home page: BL-1994 · Staff engineer Datasheet · Rev 2026.10 · LEEDS, UK Active

General description

Brendan
Lynskey

A staff-level engineer across hardware (RTL and FPGA, DSP, signal integrity), software and agentic AI.

More than 25 years in hardware; for the last two years, almost entirely software (agentic AI in Python). Read my CV, ask a chat agent about my career, or look through the portfolio: explainer sites, deck series and simulators I built for my own learning.

Ask my Digital Twin Read the CV

Features

  • RTL and FPGA design, SoC and ASIC work
  • DSP, signal and power integrity, power delivery
  • Agentic AI in Python: LangGraph, MCP, open-weights LLMs
  • 16 interactive sites, each model checked against a reference
  • Low-power operation: MSc Low Power Systems Integration

Electrical characteristics · T = 2026

PARAMETERSYMBOLMINTYPMAXUNIT
Hardware experiencetHW25——years
Interactive sitesNSITE—16—sites
Deck series in the libraryNLIB—64—series
LLM deck seriesNSER—34—series
Decks in those seriesNDECK—281—decks
Signal-integrity decksNSI—17—decks
SI results against 20 published valuesδSI——2.44%

The counts are taken from each index's README when this page is built; the SI deviation is the largest difference from 20 independently published results.

Figure 1 · Timing diagram, 1994–2026

Each trace is high while the role is held. Newest at the top. The roles, with their dates, are in the CV.

AGENTIC AIBLAIZEIMG / MIPSRED EMB.PACECOMODOTHALES199420002006201220182024

Figure 2 · Functional block diagram

Illustration: an agent loop drives a 4×4 output-stationary systolic array and checks every result against a reference.

I built these sites and decks for my own learning, and I am still working my way through them.

They are where my interests are heading: the hardware I know, and the AI systems that run on it. Every number in them comes from tested code or a cited source.

Typical applications · Home ground and four tracks

App 1 · 8 deck series Home ground Hardware, DSP and signal integrity App 2 · 2 sites Foundations One small model, end to end App 3 · 4 sites Hardware The machines underneath, chip to rack App 4 · 4 sites Inference Serving models at scale App 5 · 6 sites Agents Building on models
Open the portfolio →How I check the numbers →

Ordering information · CV and contact

ORDERING CODEDESCRIPTIONORDER
BL-CVExperience and education. Experienced engineer working in AI systems (LLMs, agents, MCP, Python) with a background in FPGA, DSP, hardware and power.Read the CV →
BL-CV-PDFThe same CV as an A4 PDF.Download the PDF
BL-TWINAn AI twin that answers in my voice from my CV and public work. Ask about my experience, or paste a job description and it will say where I fit and where I don't. Built in Ed Donner's Proficient AI Engineer curriculum.Ask my twin →
BL-MSGThe best way to reach me is a message on LinkedIn.Message me on LinkedIn →
Digital TwinAsk my twin