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Madhu Ramakrishnappa
Mid-level AI/ML Engineer specializing in LLMs, RAG, and time-series forecasting
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About
ML/AI engineer with hands-on ownership of production recommendation and RAG systems at Northern Trust. They combine transformer modeling, latency optimization, cloud deployment, and monitoring with measurable business impact, including 14% accuracy gains, 12% engagement improvement, and 19% better query relevance.
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Key Strengths
- owned ML systems end-to-end from experimentation through deployment and monitoring
- productionized transformer-based recommendation systems
- balanced latency and quality via model distillation
- built RAG-based enterprise knowledge retrieval solutions
- improved recommendation accuracy by 14%
- increased user engagement by 12%
- improved query relevance by 19%
- set up production monitoring with MLflow and Prometheus
- iterated using A/B testing and real user feedback
- designed reusable Python/FastAPI services for other engineering teams
- strong API validation and modular service design with Pydantic
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