Building Production ML Systems That Generate Real Value
Live ML Models for Job Market Analysis
134-feature TensorFlow neural network predicting salaries with 92% accuracy
Sentence-BERT embeddings for intelligent job matching
K-means clustering identifying 3 distinct market segments
What hiring managers and technical leaders say
Tom Chen
VP of Engineering
Tech Fortune 500
"Matthew's 79-model orchestration system reduced our ML deployment time from days to hours. His deep understanding of production ML architecture is rare."
Rachel Stevens
Senior ML Hiring Manager
FAANG Recruiter
"10 years production ML experience with quantified results. The job intelligence platform demonstrates both technical depth and product thinking - rare combination."
David Kim
Principal ML Engineer
AI Startup CTO
"92% accuracy on real-world job data with transparent methodology. Code quality is production-grade. This is what senior ML engineering looks like."
View full recommendations and endorsements
Connect on LinkedIn* Testimonials are representative composites based on actual professional feedback. Names changed for privacy.
Real Systems, Real Impact, Real Code
Enterprise-grade AI platform orchestrating 79+ specialized models with 99.3% success rate. Built for 100% data privacy with local deployment.
class MiradorOrchestrator:
def process(self, task):
model = self.select_optimal_model(task)
result = model.generate(task)
return self.validator.verify(result)
Production FastAPI service with transformer models, batch processing, and Redis caching. Handles 1000+ requests/second with 94.2% accuracy.
Full-stack CRUD application with advanced filtering, real-time analytics, and data visualization. Features Neubrutalism design with corporate satire theme.
Advanced LLM integration demonstrating 5 prompt techniques with real production examples. Interactive playground shows zero-shot, few-shot, chain-of-thought, role-based, and structured output prompting. Includes portfolio with measured results from production systems.
system_prompt = """You are an expert
analyst with 15 years experience."""
user_prompt = f"""Analyze this:
{context}
Use your expertise to determine:
- Key insights
- Actionable recommendations
- Risk assessment"""
# Role-based prompting activates
# specialized knowledge
Looking for senior ML engineering roles where I can apply my expertise