From raw data to decision clarity
• Static plots require interpretation
• Reports delay engineering decisions
• Subtle failures remain hidden in noise
• Teams disagree due to fragmented interpretation
I convert silicon validation datasets into decision-grade visual analysis artifacts.
- Compress days/weeks of analysis into minutes
- Align engineering and management interpretation
- Reveal hidden system-level failure modes early
When to bring me in
Are these issues stalling your validation? Let me help.
- ENOB loss: Below target with no clear root cause.
- Unstable validation: Results vary across units, temperature, or test runs.
- Noise floor issues: Spiky or unstable behavior impacting performance.
- Calibration breakdowns: Inconsistent behavior or saturation in calibration.
- Data bottleneck: Weeks of analysis, but still no clear conclusion.
- Unknown spectrum artifacts: Signals show unexpected behavior, compromising analysis.
- Eye height/width issues: Inadequate signal integrity causing data errors.
Most of these issues are diagnosable directly from existing datasets.
When this becomes a systems problem
These aren't just technical issues—they're decision bottlenecks that cascade across engineering, management, and business timelines.
Symptom
ENOB degrades unpredictably across temperature
Impact
Delayed tapeout, emergency hardware workarounds, or worse—silent field failures that appear statistical rather than deterministic.
Hidden System Cause
Calibration coefficients saturate at thermal boundaries, but test plans assume linear behavior. Engineering interprets this as analog drift rather than systematic algorithm failure.
Intervention
I reconstruct the decision surface from existing validation data, isolate calibration saturation patterns, and deliver remediation parameters—often without additional silicon measurement cycles.
Symptom
Jitter exists in the system but the eye passes the mask?
Impact
Certification denied, Product qualification blocked, vendor disputes, management escalation due to lack of singular truth source.
Hidden System Cause
Clock distribution artifacts interact with sampling methodology. Teams debate 'real jitter' vs 'measurement jitter' without unified decomposition framework.
Intervention
I apply statistical jitter decomposition to existing capture data, separate deterministic vs random components, and create alignment artifacts that unify engineering interpretation.
Symptom
Time-interleaved ADC shows spectrum spurs at unexpected places even if there's no input!
Impact
Time interleaved ADC mismatch (gain/offset/timing) combines with input signal coherency in ways that make spurs appear 'random' when they're actually parametric.
Hidden System Cause
Source of spurs seemingly undetectable, degrading ENOB and SFDR.
Intervention
I extract mismatch signatures from spectral data, map parameter sensitivity, and deliver deterministic spur prediction models—converting chaos into engineered control.
Symptom
Validation reports are 40+ pages but decisions still unclear
Impact
Decision latency measured in weeks. Budget overruns. Missed market windows.
Hidden System Cause
Static plots require expert interpretation. Cross-functional teams (eng, management, yield) extract different conclusions from same dataset.
Intervention
I compress decision-critical patterns into motion-based visual artifacts that align interpretation across roles—reducing decision cycles from weeks to hours.
Symptom
Failure modes only appear in production, not characterization
Impact
Field returns, customer escalations, reputation damage, emergency silicon re-spins.
Hidden System Cause
Test coverage assumes independence of parameters. Real-world corner cases emerge from multi-dimensional interaction spaces not sampled during validation.
Intervention
I analyze existing datasets for hidden interaction signatures, reconstruct failure boundaries, and recommend targeted validation expansions—before production deployment.
ADC Spectral Leakage Explained — Coherency Fix in Action - 1 minute!
📉 Non-coherent sampling produces misleading spectral artifacts
🎯 The same signal becomes clean once coherency is enforced
🧠 The FFT reflects the measurement condition — not just the system
This demonstrates how small setup choices can completely change interpretation of results.
✓Demonstrates fundamental measurement technique for clean spectral analysis
SMEAS: Analyze time domain sines at ease
This tool supports rapid validation and is automatable
An industrial-grade spectrum analysis tool available at smeas.onrender.com. Used for visualizing a Receiver/Transmitter's signal performance.
PyVarChart: Organize data into differentiable categories to identify trends
This tool supports rapid validation and is automatable
A Python-based data visualization system tailored for high-density engineering data, with dynamic graph rendering, real-time filtering, and scripting hooks for custom analysis.
Demo videos available over at Rumble: https://rumble.com/c/c-7834440?e9s=src_v1_cbl
Project repository on GitHub: https://github.com/Guy-Steiff/pyvarchart
Engagement Structure
Engagements are focused on resolving specific validation bottlenecks or accelerating interpretation.
Data Analysis & Visualization in Motion Video Format
Transform complex validation datasets into dynamic visual narratives that reveal hidden structure and accelerate decision-making.
This service includes:
- Motion-based data exploration — animated transitions reveal patterns static plots hide
- Multi-dimensional decomposition — simultaneous visualization of interacting parameters
- Decision-grade artifacts — videos optimized for engineering and management alignment
- Rapid iteration cycles — from dataset to shareable insight in days, not weeks
Rates depend on scope, dataset complexity, and engagement type.
Project-based quotations are provided after initial review of the dataset and problem context.
Consulting Services
Services are primarily remote, but on-site visits can be arranged if project requirements demand.
My services cover a wide range of activities including:
- Test Development
- Test Execution
- Analysis of Results & Reporting
- Infrastructure Development & Tuning
- Remote & On-Site Support
All services are offered at a flat hourly rate. Rates are negotiable depending on the project's size, complexity, and duration.
Rate: Quotations provided upon project proposal.
Online Training
Customized online training for teams or individuals covering:
- High-speed IO Validation
- Data Converter Circuits (DAC/ADC)
- Spectrum Analysis
- Data Analysis & Visualization + Reporting
- Analysis of Analog KPIs
Sessions can include interactive Q&A and hands-on exercises. Designed for both individuals and teams.
Rates depend on scope, dataset complexity, and engagement type.
Project-based quotations are provided after initial review of the dataset and problem context.
For detailed project quotes or training inquiries, please contact me.
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