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Manisha M
Senior AI/ML Engineer specializing in Generative AI and MLOps
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ML engineer with hands-on experience building banking AI systems end-to-end, including a customer-targeting model that improved campaign response rates by about 10%. Also shipped a RAG-based banking FAQ/support feature with safety guardrails and production optimizations around retrieval quality, latency, and cost, plus reusable Python services that reduced duplicate work for other engineers.
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Key Strengths
- end-to-end ownership of production ML systems
- banking ML use cases for customer targeting
- improved campaign response rate by around 10%
- iterative model improvement through feature engineering and monitoring
- practical handling of data quality issues
- shipped RAG-based banking support feature
- focus on LLM safety via retrieved-doc-only answering and sensitive-topic blocking
- balanced latency, cost, and quality in production AI systems
- improved answer quality through embeddings, chunking, and retrieval tuning
- built reusable Python services with clean APIs and automated testing
- reduced duplicate engineering work through reusable internal tooling
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