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Ankit Venkatesh
Mid-level AI Engineer specializing in full-stack AI and automation systems
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About
AI/ML engineer with hands-on experience owning production deployments from discovery through post-launch stabilization, including real-time computer vision/OCR systems and LLM-powered RAG workflows. Stands out for translating messy customer workflows into reliable backend services, debugging non-deterministic retrieval issues, and hardening AI systems with validation, monitoring, and human-review fallbacks.
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Key Strengths
- end-to-end customer deployment ownership
- real-time AI pipeline design for low-latency workflows
- strong stakeholder discovery and requirements translation
- prototype-driven requirement validation
- productionizing RAG systems with hybrid retrieval architecture
- retrieval quality tuning through chunking and ranking improvements
- systematic debugging of non-deterministic AI/data pipeline issues
- stabilizing noisy computer vision/OCR outputs with tracking and deduplication
- building reliable API-driven workflows for messy documents and forms
- combining deterministic rules with LLM extraction under validation constraints
- instrumentation with logging, monitoring, and evaluation for regression detection
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