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atulyap

GTM, Founder’s Office at Deccan AI

Go-to-Market StrategyMarket ResearchAnalytical SkillsProject ManagementOperations ManagementContent Strategy

About

I'm atulyap, currently in GTM and the Founder's Office at Deccan AI, where we provide pristine human-annotated data to top AI labs and big tech companies. My career has been a multidisciplinary journey—from hospitality and writing to logistics at Amazon, then corporate strategy at Centific—embracing diverse roles like 'collecting all the pokémon.' I'm passionate about how elite human expertise drives AI breakthroughs and believe AI built without people falls short. I focus on AI model training, evaluation, and human-in-the-loop systems, and I'm here to connect with technical professionals, researchers, and domain experts in the AI space.

Networking

What I can offer

  • High-value AI training data and evaluation services
  • Expert networks and consulting
  • GTM leadership and complex AI service articulation
  • Freelance and full-time opportunities at Deccan AI

Looking for

  • expanding my professional network
  • exploring mutual opportunities in AI

Best fit for

Friends, leaders, and researchers from big tech and frontier labsSkilled technical professionals (ML researchers, engineers, backend developers, QA experts)Domain expertsAI research community

Current Interests

AI model training and evaluationHuman-in-the-loop systemsAI quality assuranceImage generation modelsAI startup ecosystem

Background

Career

Started in writing and hospitality roles, transitioned to logistics and operations at Amazon, moved into corporate strategy and research at Centific, now in GTM and founder's office at Deccan AI.

Education

BSc. in Hospitality and Hotel Administration from IHM Hyderabad

Achievements

  • Company achieved 10x growth in 10 months, scaling to 1M+ users
  • Product 'Helix' recognized as one of the ten most innovative products out of 300+ entries at the HYSEA Product Awards
  • Deccan AI Experts featured in The Economic Times

Opinions

  • AI breakthroughs happen when elite human expertise meets cutting-edge technology
  • AI built without people will fall short
  • Current public benchmarks are flawed due to data contamination, shallow task design, and weak metrics
  • Advocates for expert driven evals on real-world tasks
  • In large-scale model training, only certain portions of synthetic data are used