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Mahalakshmi Konakanchi
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
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About
Built and shipped a production RAG assistant using GPT-4, LangChain, and Pinecone/FAISS to search 50K+ institutional documents, with a strong focus on groundedness and hallucination reduction through retrieval optimization and re-ranking. Pairs this with a metrics-driven evaluation/monitoring approach (BLEU/ROUGE, manual sampling, logging) and workflow automation via Airflow, and has experience translating stakeholder needs into iterative AI prototypes.
Experience
Education
Key Strengths
- Built and deployed a production RAG system over 50K institutional documents
- Improved retrieval relevance and reduced hallucinations via chunking, embedding tuning, and re-ranking
- Designed measurable evaluation approach using BLEU/ROUGE plus manual sampling for groundedness
- End-to-end LLM workflow orchestration with LangChain (retrieval, prompt management, generation)
- Automated and stabilized ML/data workflows with Apache Airflow (ingestion, feature processing, retraining)
- Metrics-driven model/retrieval/prompt selection balancing accuracy, latency, and cost
- Effective collaboration with non-technical stakeholders through iterative prototyping and feedback loops
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