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Bhanu Kiran
Mid-level Data Scientist & AI Engineer specializing in NLP, LLMs, and predictive analytics
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About
AI Engineer with production experience building an LLM-powered conversational scheduling assistant (rules-based + OpenAI GPT agents) and improving responsiveness by ~40% through architecture optimization. Strong in orchestration (Airflow), containerized deployments, and data quality (Great Expectations/PySpark), with prior work automating population health reporting pipelines (Azure Data Factory → Snowflake) and delivering insights via Tableau to non-technical stakeholders.
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Key Strengths
- Built and deployed LLM-powered conversational scheduling system to production
- Optimized agent architecture to reduce conversational latency ~40% by minimizing unnecessary LLM calls
- Orchestrated multi-step LLM workflows and agent-to-agent communication using Apache Airflow
- Resolved dependency conflicts via containerized, isolated pipeline stages
- Integrated rigorous data validation (Great Expectations, PySpark) into Airflow DAGs
- Designs modular agent architectures with prompt engineering and RAG for grounded outputs
- Applies A/B testing and edge-case testing; tracks accuracy, latency, and business impact metrics
- Translated complex healthcare data work into stakeholder-friendly Tableau dashboards
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