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Lekha Karanam
Mid-level AI/Analytics Product & Data Professional specializing in LLM and dashboard automation
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About
Built and shipped open-source LLM/RAG systems, including a generative AI assistant grounded on ~30,000 scraped university web pages, improving response accuracy ~30% by moving from TF-IDF-only retrieval to a hybrid sentence-transformer approach with fallback controls. Also partnered with non-technical leadership at Securi.ai to deliver real-time predictive analytics dashboards (Elasticsearch + Jira/ServiceNow) that reduced project overhead by 18%.
Experience
Education
Key Strengths
- Built and deployed a RAG-style generative AI assistant over ~30,000 scraped web pages to reduce faculty email load
- Diagnosed retrieval-driven irrelevance (TF-IDF keyword mismatch) and improved accuracy ~30% via sentence-transformer embeddings + hybrid retrieval + fallback controls
- Hands-on LangChain orchestration (custom chains, vector DB retrieval, prompt pipelines, confidence-based fallback logic)
- Structured approach to agent/workflow reliability: scoping intents, modular unit tests (retrievers/prompts), manual QA, and A/B testing when feasible
- Delivered predictive analytics dashboards with non-technical leadership; co-designed KPIs and translated technical concepts into business outcomes
- Quantified business impact: reduced project overhead by 18% and improved client satisfaction via Elasticsearch dashboards + Jira/ServiceNow data + alerting
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