Research that survives implementation
I translate papers and hypotheses into experiments with baselines, evaluation logic, and reproducible outputs rather than one-off notebooks.
FULL-TIME OPPORTUNITIES
Hire for AI, data, and decision-focused roles.
I work best where strong analysis needs to become reliable execution. That can mean AI research and machine learning engineering, but it also maps well to data scientist, data analyst, analytics, forecasting, experimentation, and other adjacent roles where rigorous thinking, clear metrics, and production discipline matter.
VALUE STACK
Why teams hire me
Systems thinking, not model theater
I care about data movement, scheduling, compute cost, reliability, observability, and the actual constraints that decide whether an ML system works in practice.
Strong range across domains
Biomedical AI, scientific ML, forecasting, HPC workflows, privacy-aware products, analytics-heavy decision systems, and end-to-end platform engineering are all already part of my shipped work.
DELIVERY AREAS
What I can own
Core responsibilities
- Designing and benchmarking ML pipelines from data prep to evaluation
- Turning raw data into usable metrics, dashboards, and decision support
- Building research infrastructure for reproducible experimentation
- Developing retrieval, LLM, forecasting, and representation learning systems
- Optimizing training and inference workflows for scale and cost
- Turning ambiguous ideas into scoped technical roadmaps
Team environments that fit
- AI research labs that need product-grade execution
- Startups building defensible data or intelligence products
- Scientific organizations modernizing analysis pipelines
- Applied ML teams with high standards for metrics and documentation
- Data teams that need stronger modeling, experimentation, or analytical rigor
- Cross-functional groups that need someone fluent in both experiments and delivery
SELECT SIGNALS
Evidence, not claims
Pathology image patches handled in medical imaging workflows with clinical-grade metrics.
Ebola RNA-seq SRA runs processed with SLURM-based automation on HPC infrastructure.
SaaS and engineering delivery led across consulting and technical leadership roles.
CONTACT
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Useful information to include
- Role title and team mandate
- Whether the position is research, product, analytics, or hybrid
- Expected stack, model family, or domain focus
- Location, timeline, and interview process