Forward-thinking Computer Science graduate (AI specialization) architecting the convergence of research-grade innovation and scalable software engineering. The focus is on building end-to-end pipelines that work in the r…
Forward-thinking Computer Science graduate (AI specialization) architecting the convergence of research-grade innovation and scalable software engineering. The focus is on building end-to-end pipelines that work in the real world—optimizing everything from data processing to CUDA-accelerated inference.
With deep expertise in Generative AI, Computer Vision, and Multimodal Systems, my approach prioritizes precision and speed to ensure complex models—like Diffusion and Bio-signal systems—are efficient and production-ready.
Key Highlights:
• Impact: Optimized rendering times by over 60% through CUDA integration.
• Engineering: Architected robust pipelines for multimodal generation and real-time gesture control.
• Leadership: Led development teams to boost user engagement by 30%.
Driven by a mindset of ownership and continuous iteration, I deliver measurable results and am an immediate joiner actively seeking Computer Vision, Generative AI, Applied Machine Learning, and AI-focused Software Engineering roles.
Directed a cross-functional engineering team of 12 developers delivering three web applications using Agile/Scrum workflows, increasing feature delivery velocity by 15%.
Built a scalable Django/PostgreSQL backend architecture and optimized SQL queries, reducing page load latency by 20% for a user base of 500+ students.
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