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Sree Sai Preetham Nandamuri
Mid-level Data Scientist specializing in Generative AI and LLMOps
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About
Built a production-grade, semi-automated document recognition and classification system for large volumes of scanned PDFs, starting from little/no labeled data and handling highly variable scan quality. Deployed on AWS using SageMaker + Docker and orchestrated on EKS with a microservices design that scales CPU-heavy OCR separately from GPU inference, with strong reliability controls (validation, fallbacks, retries, readiness probes).
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Key Strengths
- Built and deployed a production document recognition/classification pipeline for high-volume PDFs
- Strong OCR robustness techniques via targeted image preprocessing and post-OCR validation/cleanup
- Production MLOps on AWS (SageMaker + Docker) with scalable orchestration on EKS
- Designed microservices to scale OCR (CPU-heavy) independently from inference (GPU-optimized)
- Reliability engineering for ML pipelines (retries, readiness probes, automatic restarts, unreadable-document routing)
- Metrics-driven evaluation and monitoring (accuracy/precision/recall/latency) with continuous iteration
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