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Bhavani Shekhawat
Engineering Manager specializing in AI/ML platforms and 0→1 product delivery
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Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.
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Key Strengths
- End-to-end ownership of architecture and delivery (writes ADRs; design through implementation and reviews)
- Built/operated high-scale research integrity screening platform handling ~3M manuscripts/year
- Applied NLP embeddings (SciBERT via Hugging Face) with human-in-the-loop thresholds to improve citation relevance screening
- Strong incident ownership with emphasis on data integrity (backfill-first approach) and prevention via automation and improved testing
- Effective coaching to improve underperformance by progressively increasing task ambiguity with measurable sprint feedback
- Delivery acceleration via tight scoping, stakeholder negotiation, and RICE-based prioritization
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