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Surya Danturty
Intern AI/ML Engineer specializing in computer vision and time-series forecasting
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About
Undergrad who built a production RAG chatbot for a messy college website using OpenAI embeddings + FAISS, overcoming hard-to-crawl/non-selectable site content and strict API budget limits. Applies information-retrieval best practices (section-based chunking with overlap, precision/recall evaluation) and reliability techniques (edge-case testing, similarity thresholds, fallback responses), and has experience scaling similar indexing work to ~300,000 Wikipedia pages.
Experience
Education
Key Strengths
- Built and deployed a production college-website chatbot using OpenAI + FAISS RAG
- Solved difficult data acquisition issues (poor crawlability/non-selectable text) via data conversion and cleanup
- Strong practical IR knowledge (section-based chunking, overlap tuning, top-k retrieval)
- Cost-aware engineering under tight API budget constraints
- Modular workflow design with measurable evaluation (precision@k, recall@k, correctness, latency, cost/query)
- Reliability-focused testing using edge-case query sets, similarity thresholds, and fallback answers to reduce hallucinations
- Communicates effectively with non-technical stakeholders by focusing on outcomes and incorporating feedback into requirements
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