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Animan Khandelwal
Entry-level ML Engineer specializing in multimodal AI and healthcare applications
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About
Backend/ML engineer who built and operated a production WhatsApp assistant end-to-end using a modern RAG stack, delivering >90% automation with sub-2-second latency. Shows strong depth in retrieval quality, observability, evaluation, and incident handling, and has also applied similar AI workflow patterns to a clinical diagnostic assistant processing medical PDFs.
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Key Strengths
- Owned end-to-end backend delivery of ML-driven WhatsApp assistant
- Achieved >90% automation with <2s latency
- Strong RAG systems engineering and grounding optimization
- Pragmatic backend tradeoff judgment across latency, scalability, and reliability
- Production monitoring and iterative optimization mindset
- Cross-functional stakeholder alignment around SLAs and experiments
- Effective in ambiguous early-stage environments with MVP scoping
- Incident response with rollback, root-cause analysis, and prevention
- Applied AI experience in healthcare/clinical document workflows
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Experience
Education
Awards
Languages
Certifications
Publications
2 publications
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