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Tejaswi Rao
Mid-level Machine Learning Engineer specializing in MLOps and GenAI analytics
Jersey City, New JerseyMachine Learning Engineer7 years experienceMid-LevelTelecommunicationsMedia & EntertainmentHealthcare
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About
ML/LLM practitioner who has deployed a production RAG-based trouble-call identifier using multiple datasets (device, network, past complaints). Experienced in end-to-end MLOps (FastAPI + Docker + Kubernetes with HPA) and in evaluating/monitoring LLM behavior to reduce hallucinations, with additional applied work in forecasting/anomaly detection and churn prediction for retention campaigns.
Experience
Machine Learning EngineerMediacom Communications Corporation
Machine Learning EngineerParamount
Machine Learning ResearcherKMC, Manipal
Education
Stevens Institute of Technologymaster, Applied Artificial Intelligence (2022)
Manipal Institute of Technologybachelor, Computer Engineering (2019)
Key Strengths
- Built and deployed a production RAG system for trouble-call root cause identification and solutioning
- Performance optimization in production (latency reduction via regional server placement and Kubernetes HPA autoscaling)
- LLM quality evaluation and model selection using hallucination/LLM metrics (selected Mistral 7B based on results)
- End-to-end ML deployment workflow (Python/EDA → FastAPI inference service → Docker → Kubernetes)
- Communicating model outputs to non-technical stakeholders via BI dashboards (Power BI, Tableau)
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