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A

A. Y. Shaikh

ORCID ↗ h-index 10
3.0
Founder Score · low confidence
1/5 signal groups
Track record 0.0/30 Career 0.0/20 Shipping 0.0/30 Research 3.0/10 Network 0.0/10
Research
  • h-index 10
  • 1 recent paper(s)

Opportunities

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Internal company pages for screening and memo — not external source links.

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via S
While Large Language Models (LLMs) excel in many general NLP tasks, their formal reasoning capabilities are often compromised by content effects, demonstrating a measurable bias to
founded · arXiv · research
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Activation — cold outreach, not cold investment

Generates a personal note referencing this founder's actual work, inviting a real application.

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On save, the model re-reads scraped profile text plus your investor details, then rebuilds Experience / Education (adds and removes) and refreshes the score.

Ventures

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via S
founded
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Experience

Indira Gandhi Agricultural University
affiliated with · institution
Enriched

Output & traction

HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization
authored · paper
Enriched