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Vardhan Addakattu
Mid-level Data Scientist specializing in Generative AI and NLP for financial risk
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About
Built and shipped production generative AI/RAG assistants in regulated financial contexts (S&P Global), automating compliance-oriented Q&A over earnings reports/filings with grounded answers and citations. Experienced across the full stack—AWS-based ingestion (PySpark/Glue), vector retrieval + LangChain agents, GPT-4/Claude model selection, and production reliability (monitoring, caching, retries) plus rigorous evaluation and regression testing.
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Key Strengths
- Built and deployed production RAG system for financial/compliance Q&A with citations
- Designed end-to-end document ingestion and retrieval pipeline at scale (PDFs/filings) using PySpark + AWS Glue + vector search
- Production reliability engineering for LLM systems (timeouts, retries/backoff, fallbacks, monitoring, caching)
- Strong evaluation discipline for LLM workflows (realistic test sets, grounding/correctness/latency/cost metrics, prompt regression tests)
- Hands-on orchestration of multi-step ML/LLM pipelines with Step Functions, Airflow, and Kubernetes
- Effective collaboration with non-technical compliance stakeholders to translate workflow needs into technical design
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