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Meghana Chowdary Borra
Junior Machine Learning Engineer specializing in predictive modeling and GenAI RAG systems
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About
LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.
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Key Strengths
- Built and deployed an emotion-aware LLM-powered AAC system to production
- Mitigated emotional hallucination using confidence thresholds and stricter prompt grounding
- Reduced latency via embedding caching, async coordination, and retrieval-depth optimization
- Designed multi-stage agent/workflow architecture with deterministic guards and fallback paths
- Implemented multi-metric evaluation framework (BLEU, ROUGE, METEOR, BERTScore) plus human review
- Model/retrieval/prompt selection driven by constraints (accuracy, latency, interpretability) with ablation studies
- Strong stakeholder alignment: translating business goals into measurable ML metrics and avoiding over-engineering
- Reported outcome: 18% user satisfaction improvement
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