Nischal Hp
Director of Ai and Data @Agreena
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WORK HISTORY
Director of Ai and Data @Agreena
Berlin, DE
Leading Agreena\'s AI and Data strategy across all business lines, partnering with the executive team on product strategy, GTM, and fundraising. Championing AI-native product development—building deep learning models for satellite imagery analysis and farm verification that operate at continental scale with cost reduction. The AI isn\'t a feature; it\'s the core of what Agreena sells.Transformation:Diagnosed an organizational challenge early: the Data team was structured around skills rather than products, creating silos. Initiated a transformation—reorganizing around cross-functional product teams, restructuring engineering management roles, establishing delivery cadences. Rolled out in phases, gathering and acting on feedback from every team member. The Data team now operates as one of the highest-performing teams in the company.Scale & Architecture:Led a shift from reactive request-processing to proactive processing at continental scale. Result: improvement in ML inference efficiency, scaling from 2M to 3.5B hectares while reducing cost-per-hectare by Product Development:Building and shipping AI agents combining remote sensing models, LLM-powered systems, and domain intelligence. Personally prototyped and deployed production AI agents. Introduced 3 new products to market in 2025. Reduced farmer onboarding time by 60%.AI Enablement:Driving company-wide AI transformation—launching an internal \"AI Academy,\" building internal tools, and creating LLM-powered RAG systems. Early results: minutes saved in the first 2 months.Organization:Lead cross-functional teams of data scientists, ML engineers, data engineers, and engineering managers. Work directly with product, design, and user research to shape roadmaps.
EDUCATION
NATIONAL COLLEGE JAYANAGAR
BCA, Computer Science
Birla Institute of Technology and Science, Pilani
Master of Science - MS, Software Engineering
SKILLS
ABOUT NISCHAL HP
I\'m an AI and technology leader who transforms data and ML organizations into high-performing teams that ship AI-native products—systems where the AI isn\'t a feature, it\'s the entire value proposition.Over 15 years, I have had the privilege of building teams and technology from scratch, taking research into production across various industries for document understanding, supplier intelligence, satellite imagery analysis, and AI agents. I\'ve taken teams stuck in silos and firefighting mode and turned them into groups that deliver at high velocity with strong stakeholder trust. The pattern: diagnose the real problem (usually organizational, not just technical), build a strategy, execute in phases, and deliver efficiency improvements, cost reductions,$300K/month in savings, 20% increases in customer win rates.I operate at the intersection of business, technology, product, and commercial growth—and I\'m still hands-on. I\'ve architected MLOps platforms and still personally prototype AI agents that go into production. I\'ve secured over $60M in funding as the primary technical voice to investors. And I\'m consistently customer-facing—visiting customer sites, partnering with sales during pre-sales, working through implementation with delivery teams. Without direct customer contact, it\'s impossible to know what to build and why.At Agreena, I lead AI and Data strategy—building the deep learning models for satellite imagery that are the core of the business, driving company-wide AI transformation, and shipping AI agents that combine remote sensing, LLMs, and domain intelligence.What drives me: building AI products that couldn\'t exist without the AI, creating environments where exceptional engineers do career-defining work, and proving that deep technical investment delivers measurable business outcomes—not just impressive demos.Speaking: Regular speaker at QCon, O\'Reilly, InfoQ (Keynote), PyData, and EuroPython on LLM architecture, AI for climate, and building ML platforms.
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