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Maheswar Mekala
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
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About
ML/LLM engineer with production experience at General Motors building Transformer-based search and recommendation personalization for a high-traffic vehicle platform. Delivered significant KPI gains (17% conversion lift, 14% bounce-rate reduction) and optimized real-time inference via ONNX Runtime and INT8 quantization while implementing robust MLOps (Airflow/MLflow, monitoring, drift-triggered retraining) and stakeholder-facing explainability/dashboards.
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Key Strengths
- Built and deployed Transformer-based personalization/recommendation system in production at General Motors
- Delivered measurable business impact: 17% increase in purchase conversions and 14% reduction in bounce rate
- Production MLOps orchestration with Airflow (end-to-end retraining, validation, deployment) and MLflow tracking
- Inference optimization using ONNX Runtime + INT8 quantization (28% faster inference with <0.5% accuracy loss)
- Designed reliability mechanisms: monitoring, drift-triggered retraining, and fallback to cached/rule-based responses
- Strong cross-functional collaboration with marketing/e-commerce; translated model performance into KPI-driven outcomes via dashboards
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