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Muaaz Syed
Mid-level AI/ML Engineer specializing in NLP and conversational AI
Richardson, TXAI/ML Engineer4 years experienceMid-LevelHealthcareHealthcare ITFinancial Services
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About
ML/NLP engineer focused on real-time IT ops analytics, building a predictive maintenance/anomaly detection platform end-to-end (multi-source ETL, streaming, modeling, and production deployment on GCP/Vertex AI). Uses deep learning (LSTMs, autoencoders/VAEs) plus embeddings (SentenceBERT) and vector search to improve incident correlation and search, citing ~40% reduction in duplicate alert noise.
Experience
AI/ML EngineerCVS Health
Graduate Teaching AssistantThe University of Texas at Dallas
Data ScientistHexaware
Education
The University of Texas at Dallasmaster, Business Analytics and AI (2024)
SRM Institute of Science and Technologybachelor, Computer Science (2019)
Key Strengths
- Built real-time anomaly detection & predictive maintenance platform for IT infrastructure
- Designed scalable streaming pipelines to handle high-velocity log data (Spark Streaming, micro-batching)
- Reduced duplicate alert noise by ~40% using embeddings (SentenceBERT) for semantic log linking
- Productionized ML with CI/CD and containerized deployments (Jenkins, Docker, Kubernetes)
- Strong data quality validation framework (completeness/consistency/accuracy/uniqueness; missingness and outlier metrics)
- Clear prototype-to-production gating using precision/recall, latency, load tests, and drift tolerance
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