Available for Opportunities
Data Science &
Machine Learning Engineer
Machine Learning Engineer building NLP and Deep Learning solutions to solve real business problems. My experience in systems analysis and stakeholder management ensures ML solutions integrate effectively with existing business processes.
Technical Stack
Technologies I Work With
Technical Approach & Capabilities
How I Approach Machine Learning Projects
Three key capabilities that define my approach to building production-ready ML systems that deliver measurable business impact.
Building NLP systems that extract actionable insights from unstructured business data
I develop transformer-based models and custom NLP pipelines that turn text data into business intelligence. My focus is on solving real organizational problems rather than just demonstrating technical capability.
Designing ML systems that integrate seamlessly with existing business processes
I build ML solutions that work within real organizational constraints, considering data quality, system compatibility, and user adoption. Each implementation is designed to deliver measurable ROI rather than just impressive metrics.
Creating deep learning solutions optimized for performance and maintainability
I build ML models that perform consistently in production environments, with emphasis on validation, monitoring, and iterative improvement. Solutions are designed to scale effectively as business requirements evolve.
Transformer models and custom language processing pipelines
Production-optimized neural networks and model deployment
ML solutions designed for real organizational environments
Technical Excellence with Business Impact
My ML solutions combine cutting-edge techniques with practical implementation strategies, ensuring they deliver value in real business environments rather than just impressive technical demonstrations.
Explore My Technical ProjectsTechnical Implementation
ML Problem-Solving in Practice
How I apply systematic technical methodologies to build robust ML solutions that perform consistently in production environments.
NLP Model Implementation Strategy
Systematic approach to building production-ready language models
I start with thorough data analysis and preprocessing, then fine-tune transformer models for specific business use cases. Each implementation includes comprehensive validation and monitoring to ensure consistent performance in production environments.
Deep Learning Optimization Process
Technical methodology for building efficient, maintainable models
I design neural network architectures with business constraints in mind, optimize training processes for efficiency, and implement comprehensive monitoring systems. The focus is on models that perform reliably at scale rather than just achieving high accuracy scores.
Project Showcase
Featured Projects
Two key components from my AI Career Advisor platform, demonstrating advanced NLP and deep learning applications for real-world business challenges.
Intelligent NLP system that transforms unstructured resume documents into rich, structured data with 89% accuracy across diverse formats. Features custom Named Entity Recognition for professional skills, experience timeline construction, and achievement quantification detection.
Deep learning system using custom transformer architectures to understand semantic relationships between job requirements and candidate qualifications. Goes beyond keyword matching with explainable compatibility scores and multi-dimensional skill alignment analysis.
Technical Capabilities
Core Technical Skills
Three key technical areas where I build production-ready machine learning solutions that solve real business problems.
- Transformer Models & Fine-tuning
- Document Processing & Information Extraction
- Semantic Search & Embedding Systems
- Custom NER & Text Classification
- Model Training & Optimization Pipelines
- MLOps & Experiment Tracking
- Vector Databases & Real-time Inference
- Performance Monitoring & A/B Testing
- Python & FastAPI Backend Development
- React & Next.js Frontend Applications
- Database Design & API Architecture
- Cloud Deployment & CI/CD Pipelines
Professional Endorsements
What People Say
Perspectives from people I've worked with over the years.
- Clay C.
Instructor at Syracuse University
"Dustin is the real deal. I've taught thousands of talented students and if I were starting a company tomorrow, Dustin would be on a VERY short list of those I'd try to recruit."
- Derek B.
Commander at US Army
"Dustin is a highly driven, intelligent, morally principled, leader of peers. He delivers candid feedback, with insightful and comprehensive analysis. He communicates complex problems clearly and can serve as the face and lead of any project or organization."
- Ben B.
VP at Pernod Ricard
"Dustin is the rare blend of high 30,000 ft. conceptual visionary meets tactical execution and on time if not early deliverables. It is without question I would recommend Dustin for any company considering him and believe/know he will be an immediate, near, and long term asset to those lucky enough to have Dustin as a teammate and colleague. "
- Cole C.
MBA Student at Syracuse University
"Dustin Turner embodies the qualities necessary in a leader and collaborator. We worked very closely on a number of complex projects. He approached every meeting with an openness to discussion, a clear goal in mind for the meeting, and a creative approach to problem-solving."
Available for Opportunities
Ready to Build Advanced ML Solutions
I'm actively seeking ML engineering roles where I can apply my NLP and deep learning expertise to solve complex business challenges. Let's discuss how my technical skills and systems thinking can contribute to your team's success.