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maheen Adeeb
Senior Machine Learning Engineer specializing in LLMs, speech AI, and RAG systems
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AI engineer with production experience building multilingual speech-to-speech translation pipelines (ASR + LLM) for enterprise/media, focused on reliability at scale. Has hands-on orchestration experience (including IBM Watson contexts) and emphasizes production evaluation/monitoring using a mix of traditional metrics and LLM-based evaluators to catch quality regressions while balancing latency and cost.
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Key Strengths
- Built and deployed multilingual speech-to-speech translation system for enterprise/media use cases
- Improved ASR robustness across accents, noisy audio, and domain terminology via preprocessing and segmentation
- Reduced LLM output inconsistency and latency using standardized prompts, retries/fallbacks, and batching
- Designed production-grade multi-step AI pipeline orchestration with dependency management, failure handling, scalability, and observability
- Established practical evaluation/monitoring by combining traditional metrics with LLM-based evaluators to detect regressions
- Effectively translated non-technical stakeholder goals into measurable metrics (quality thresholds, latency targets) and communicated via dashboards/examples
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