Nitish Gupta

Experience

1. Applied Research Specialist

   Adobe

   Feb 2024 — Present · Noida, IN

   Working at the intersection of research and product within Adobe’s generative AI team, with a focus on diffusion models, controllable image generation, and user-centered creativity tools. My work spans ideation, prototyping, and production-ready deployments, with a strong emphasis on benchmarking, model evaluation, and inference optimization. Key Contributions:Flux Pro.1 + ControlNet Style TransferDeveloped a controllable image style transfer pipeline combining Flux Pro.1 with ControlNet, enabling prompt- and layout-conditioned edits. Achieved 70% human preference in structured blind evaluations compared to internal baselines.Text-to-Pattern (T2P) EnhancementsDesigned a novel method for user-controlled pattern density by conditioning diffusion priors, significantly improving flexibility and precision in generative pattern workflows.GenShapeFill OptimizationReduced failure rates by 70% through improvements in shape masking, edge inference, and background detection—directly improving reliability of vector fills for complex design assets.LogoMuse – Agentic Logo Creation SystemConceived and led development of LogoMuse, an award-winning internal tool that combines LLMs and vision models to support designers from ideation to final vector logo, tightly aligned with brand guidelines.Agentic Image EditingContributed to the development of an agent–tool collaboration framework for intelligent image editing, allowing seamless multimodal interactions beyond prompt-only generation.Benchmarking and InferenceLed internal evaluation efforts using FID, LPIPS, and human-in-the-loop metrics to benchmark generative outputs; also tuned inference latency and CFG rescaling for production readiness.

Education

• Chandigarh College of Engineering & Technology (Degree Wing), Panjab University

  Bachelor of Technology

  2016 — 2020

• Little Flower School, Maharajganj

  High School

  2011 — 2013

• Indian Institute of Science (IISc)

  Master of Technology - MTech

  2020 — 2022

• Upras Vidhyalaya, Vasant Vihar, New Delhi

  XII

  2013 — 2015