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Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
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About
ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.
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Key Strengths
- Built RAG-based compliance document processing using GPT-4/Claude with TF-IDF retrieval
- Improved healthcare document review throughput by 4.5x
- Entity resolution for financial fraud datasets using fuzzy matching (Levenshtein) and Dedupe.py
- Validated data cleaning/entity resolution via A/B tests against manually curated ground truth; reduced false positives and improved model accuracy
- Implemented semantic search with sentence embeddings + Redis vector store; improved retrieval accuracy via domain fine-tuning
- Production-grade Python data workflows with Airflow, monitoring (Prometheus/Grafana), and CI/CD (GitHub Actions)
- Managed production changes with A/B-tested SageMaker migration enabling zero-downtime rollout
Reference Highlights
- strong expertise in large-scale ML/NLP solutions
- builds scalable AI systems (fraud detection, chatbots, ML platforms)
- effective at addressing model drift and latency
- delivers robust, reliable data pipelines
- automates feature engineering
- significantly reduces manual work (80 hours/month)
- improves model deployment efficiency
- clear communicator of complex technical concepts
- collaborates seamlessly with cross-functional teams
- leads AI model governance discussions
- aligns technical strategy with compliance requirements
- strong ownership and accountability
- leads from the front in decision-making
- delivers production-ready solutions
- drives measurable delivery improvements (60% reduction in deployment time)
- strong leadership
- highly valued; would be rehired without hesitation
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