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Niteesh Ganipisetty
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and Computer Vision
Grand Rapids, MIAI/ML Engineer (SME)4 years experienceMid-LevelFinTechAutomotiveEnterprise Software
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About
Built an LLM-powered learning assistant (EduQuizPro/EduCrest Pro) that uses RAG over URLs and PDFs to generate quizzes, notes, and explanations for students/professors. Emphasizes production robustness—implemented dependency fallbacks (FAISS/Sentence Transformers/Gradio), CLI-safe mode, and NumPy-based indexing—along with a custom orchestration layer to keep multi-step AI workflows reliable.
Experience
AI/ML Engineer (SME)Intuit
AI/ML EngineerKPIT
Education
Grand Valley State Universitymaster, Applied Computer Science (2025)
Key Strengths
- Built and deployed an LLM-powered education assistant (EduQuizPro/EduCrest Pro) using RAG to generate quizzes and notes from URLs/PDFs
- Designed robust fallback mechanisms for missing dependencies (FAISS/Sentence Transformers/Gradio), including CLI mode and NumPy-based indexing
- Strong grasp of LLM failure modes (hallucinations, bias, context limits) and reliability testing considerations
- Custom orchestration of multi-step AI workflows (ingestion → embedding → retrieval/vector indexing → generation → scoring) with fault tolerance
- Effective communication with non-technical stakeholders by framing AI capabilities in business/user outcomes and defining success metrics early
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