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Sathwik Alavala
Mid-level Data Scientist specializing in AI/ML, MLOps, and LLM-powered analytics
Charlotte, NCData Scientist6 years experienceMid-LevelFinancial ServicesHealthcareVideo Games
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About
Built and deployed a production LLM-powered document Q&A system enabling natural-language querying of large PDFs, focusing on retrieval quality (overlapped chunking) and low-latency performance (optimized embeddings + vector search). Experienced with scaling ML/LLM workflows using async/batch processing, caching, cloud storage, and orchestration via Apache Airflow with robust testing, monitoring, and failure handling.
Experience
Data ScientistBank of America
Data ScientistUnitedHealth Group
Data AnalystStudio Orb
Education
Campbellsville Universitymaster, Computer Science (2024)
SNISTbachelor, Electronics Communication Engineering (2022)
Key Strengths
- Built and deployed a production LLM document Q&A system for querying large PDFs
- Practical RAG optimization: chunking with overlap to improve retrieval quality
- Latency reduction via embedding optimization and efficient vector search
- Scalable architecture using async processing, batch jobs, caching, and vector DBs
- Airflow orchestration for end-to-end ML pipelines with retries, alerts, and parameterized DAGs
- Reliability-focused evaluation: unit/integration tests, metrics (accuracy/latency/failure rate), monitoring and fallback logic
- Translates business goals into AI requirements and aligns stakeholders via regular check-ins
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