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Jareena kowsar shaik
Mid-level Machine Learning & GenAI Engineer specializing in LLMs, RAG, and NLP
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Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.
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Key Strengths
- Built and deployed an LLM-powered customer support assistant to production
- Strong handling of multi-turn context management in conversational AI systems
- Performance-focused engineering (scalability and latency reduction via optimization and parallel processing/load management)
- Workflow orchestration expertise using Airflow DAGs for ETL with dependency control, scheduling, and failure monitoring/alerts
- Structured approach to AI reliability: clear metrics, layered testing (unit/integration/e2e), and post-deploy monitoring
- Effective collaboration with non-technical stakeholders through interviews, translating requirements to specs, and iterative joint testing
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