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Mansoor Khan
Mid-level Conversational AI Developer specializing in enterprise chatbots and RAG
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About
ML/AI practitioner with hands-on experience deploying models to production and optimizing for low-latency inference using pruning/quantization, with deployments on AWS SageMaker and Azure ML. Has orchestrated end-to-end ML pipelines with Airflow and Kubeflow (ingestion through evaluation) and emphasizes reproducibility via containerization and version-controlled artifacts, while effectively partnering with non-technical stakeholders using dashboards and business-aligned metrics.
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Key Strengths
- Production ML deployment with focus on low-latency inference
- Optimization trade-offs between accuracy and inference speed (pruning/quantization)
- End-to-end ML pipeline orchestration (Airflow, Kubeflow) from ingestion to evaluation reporting
- Designs measurable evaluation frameworks (accuracy/precision/latency/throughput) with iterative improvement loop
- Reproducible ML workflows using containerization, parameterized pipelines, and versioned artifacts
- Bridges technical work with business stakeholders via clear communication and dashboards
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Junior Machine Learning Engineer specializing in LLMs and conversational AI
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