by Christopher Velasco
**Signal over noise: In 2026, top RF and hardware talent is buried in generic recruiter spam. This agent cuts through it by doing deep technical work — mapping ecosystems (satellite, 5G mmWave, defense), cross-checking portfolios (simulation stacks, tape-outs, patents), and producing outreach that reads like peer review, not blast mail.
| Track | Focus |
|---|---|
| Engineering deep-scan | HFSS, ADS, Virtuoso, and CST fluency, PCB design and layout signals, phased-array and beamforming trade-offs, USPTO and IEEE signals, and tooling-aligned screening questions ready for your hiring team. |
| Sales, Marketing, GTM | Design-win and IP licensing patterns, funding and partnership timing, BD and sales leaders tied to RFIC wins |
This agent is a specialized co-worker node under the CVE Core Harness.
agent-settings.json# Agent runtime configuration & parameter mappingsdata-signals/# Target companies, hotspots, education signals, vetting rubricdocs/# Supplementary engineering reference material & technical documentationTECH_STACK.md# Comprehensive tech stack overview and platform integration notes
We use agentic augmentation, not replacement. The stack handles high-volume discovery and first-pass technical framing so the human lead can own relationships, negotiation, and closing.
| AI agent (high-volume discovery) | Human lead (high-stakes relationship) |
|---|---|
| Ecosystem mapping (50+ key orgs, conference and community signals) | Empathy and fit (motivations, culture, relocation, comp nuance) |
| Portfolio and tooling vetting (pre-flight gap analysis vs. the role) | Final outreach approval and send timing |
| Commercial timing (churn, funding, design-win intel) | Strategic partnerships and long-term trust with engineering leaders |
The CVE Core Harness enforces a strict HITL protocol:
- Validation — AI-generated technical theses are reviewed by the lead before any send path runs (quality over blast volume; caps on daily outreach).
- Ethics guardrails — No autonomous outreach without a human-verified diversity and compliance check; platform rate limits respected to protect accounts.
- Correction loop — Human feedback on vetting accuracy feeds back into
data-signals/(including the RF vetting rubric) to refine domain behavior.
# 1. Clone this repo
git clone https://github.com/cve415/rf-engineering-agent.git
cd rf-engineering-agent
# 2. Configure (ensure Core Harness is installed)
cp .env.example .env
# 3. Launch tactical dashboard preview
python3 -m http.server 8000Christopher Velasco — agentic architecture and technical talent engineering.