Machine Learning Engineer
Scalable AI Systems • Search & Recommendations • Responsible AI
I design and lead large-scale ML systems deployed in production, serving 200M+ users and driving $100M+ in business impact across Fortune-500 companies.
Currently Staff ML Engineer @ Walmart Global Tech. Previously senior ML leadership roles at Randstad and Monster Worldwide.
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Search & Recommendation Systems
- Retrieval, ranking, substitution, personalization
- Hybrid vector search, LTR, transformers, embeddings, bandits
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ML Platforms & Systems
- Training, inference, evaluation, monitoring at scale
- Spark, BigQuery, GCP, GPU optimization, low-latency inference
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Applied NLP & Optimization
- Transformer models, robust optimization, decision systems
- Applications across retail, healthcare, logistics
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Responsible AI
- Fairness, explainability, cost-efficient architectures in production
- 200M+ users served globally
- $100M+ measurable business impact
- 40% latency reduction, 80% compute savings
- Platforms spanning 20+ countries and 20+ languages
- Peer-reviewed publications in Operations Research & Optimization
- Widely referenced technical writing used by MIT, Duke, Michigan, Penn, UCSB
- 138+ academic citations, 200+ external backlinks
- Speaker at global AI conferences
- Reviewer / judge / advisory board member for AI organizations
- Gold & Silver Globee Awards — AI Professional of the Year
- Senior Member, IEEE
- Advisory Board, AI Accelerate Institute
- Fellow, Soft Computing Research Society
- End-to-end ML implementations
- Evaluation frameworks & system design patterns
- Practical code reflecting real production constraints