Anisha Pal is a Scientific ML Engineer based in San Francisco with 9 years of experience applying machine learning to geospatial and climate problems. Currently at Planette AI, she builds AI-driven near-term climate forecasting models to inform high-stakes decisions, drawing on a Georgia Tech MS where she researched robust vision models under Prof. Judy Hoffman. Her background spans production ML for satellite and aerial imagery—delivering high-F1 change-detection systems and transformer-based super-resolution for agricultural monitoring—as well as face PAD and deepfake detection work. She combines research rigor with product-minded engineering, stress-testing model generalization across synthetic-to-real and intra-domain shifts. Colleagues describe her strength in turning hard academic problems into scalable, field-ready solutions that tackle conservation, sustainability, and climate resilience.
9 years of coding experience
4 years of employment as a software developer
Masters Computer Science, Masters Computer Science at Georgia Institute of Technology
Bachelor of Technology Electrical Electronics and Communications Engineering, Bachelor of Technology Electrical Electronics and Communications Engineering at Manipal Institute of Technology
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Anisha Pal - Scientific ML Engineer at Planette AI