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Ishan Kumar Anand
Junior AI Engineer specializing in computer vision and generative AI
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About
AI/ML engineer who has built a production text-to-image generation system in PyTorch with an AWS-backed inference setup, focusing on GPU-efficient training and embedding-space architectural choices inspired by recent research (e.g., Meta VL-JEPA). Uses both metric-based evaluation (FID) and human testing to validate real-world visual quality, and can translate technical concepts for non-technical stakeholders.
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Key Strengths
- Built and deployed a production text-to-image generation system
- Architectural decision-making informed by recent research papers (e.g., Meta VL-JEPA)
- Optimized training/inference to minimize GPU consumption
- Balanced quantitative evaluation (FID) with real-time human testing to catch quality gaps
- Able to explain complex ML concepts (e.g., embeddings) in layman terms to non-technical stakeholders
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1 publication
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