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Manasa Mangipudi
Mid-level Machine Learning Engineer specializing in NLP and computer vision
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About
AI/ML engineer with production experience building an LLM-powered resume-to-job matching and feedback product using RAG, with a strong focus on latency, hallucination control, and scalable deployment. Experienced orchestrating ML inference and backend services on Kubernetes and applying rigorous evaluation/guardrail practices; also partnered with business/product stakeholders at Walmart to improve an NLP-based supplier support system.
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Key Strengths
- Built and deployed an LLM-powered resume/job matching and feedback system to production
- Designs RAG systems with latency optimization via async stages and aggressive embedding caching
- Strong hallucination-control approach (retrieved evidence grounding, schema enforcement, low-confidence fallbacks)
- Kubernetes-based orchestration of containerized ML inference and backend services (autoscaling, rolling updates, resource management)
- Reliability-focused AI workflow design with clear metrics, offline + integration testing, regression tests, and production guardrails/monitoring
- Effective collaboration with non-technical business/product stakeholders using dashboards and metric translation (Walmart NLP supplier support)
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