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Ritesh Somashekar
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
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About
AI/ML engineer with experience spanning Accenture healthcare NLP systems, academic research, and Apple on-device LLM integration. Stands out for owning regulated production pipelines end-to-end—from HIPAA-compliant clinical NLP and EHR integrations to incident prevention, experiment tracking, and optimized on-device inference with LLaMA 3.
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Key Strengths
- End-to-end ownership of production backend ML systems
- Healthcare AI and HIPAA-compliant data engineering expertise
- Strong backend architecture tradeoff judgment in regulated environments
- Built clinical NLP pipeline with 80% entity extraction accuracy
- Improved processing speed by 55%
- Improved system uptime by 20%
- Reduced manual effort by 20%
- Incident response and prevention using rollback, schema enforcement, and data quality alerts
- Shipped MVPs in ambiguous research environments with no clear specs
- Improved entity recognition F1 by 18% over SpaCy baseline
- Experience integrating LLMs into production workflows
- On-device AI deployment and model optimization expertise
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