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SathwikReddy Nethani
Mid-level AI/ML Engineer specializing in GenAI, NLP, and financial systems
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GenAI/ML engineer with hands-on experience building production financial intelligence and document summarization systems at Citibank. Stands out for combining LLM fine-tuning, hybrid RAG, multi-agent workflows, and strong MLOps/observability practices to deliver measurable business impact, including 60% faster analyst retrieval, 31% higher precision, and 99%+ uptime.
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Key Strengths
- End-to-end ownership of production GenAI/ML systems
- Built financial intelligence platform over 750K+ financial and regulatory documents
- Hybrid retrieval design balancing latency, cost, and precision
- Reduced analyst retrieval time by 60%
- Achieved P95 latency under 1.8 seconds
- Improved hallucination rate by 28%
- Maintained production reliability above 99% uptime
- Domain-adapted LLM fine-tuning for financial summarization
- Improved answer precision by 31% via fine-tuned model
- Drove 18% higher engagement and 40% increase in repeat usage
- Strong observability and MLOps implementation
- Built reusable Python/FastAPI libraries that cut onboarding time by 40%
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