Suraj Kothawade

About Suraj Kothawade

I am an ardent Machine Learning and Artificial Intelligence enthusiast with gargantuan predilection towards Research and Implementing Innovation to make Human Lives better.In 2014, I was introduced to Computer Science and have been exploring this field ever since to realize more and more about the True significance of engineering in the real world. Over this period of time, I developed strong affinity in the field of Machine Learning because it is all about Data! And Data is omnipresent which makes Machine Learning suitable for analysis of almost any real-world problem! Which makes it imperative!I have worked on projects based on problems related to Agriculture, Healthcare and Security using Cognitive Engineering, Internet of Things, Machine Learning, Computer Vision and Robotics.Currently, I am looking for full-time opportunities in the field of Machine Learning and Computer Vision.Looking forward to connecting with you!

Experience

1. Senior Machine Learning Engineer

   Google

   Apr 2023 — Present · Mountain View, CA, US

   Nano Banana Series: Led productionization, building key infrastructure for large-scale fine-tuning & evaluation. Enabled versatile open-prompt editing capabilities (e.g, removal, addition, stylization, control).Generative AI Infra: Drove GenAI research & productionization infrastructure (scalable architectures, large datasets, robust pipelines), accelerating experimentation and reliable deployment across Google.Generative Selfie: Designed, implemented & optimized GenSelfie stylization model using diffusion distillation & curated data mixtures for quality. Launched globally as \'Portrait Studio\' on Samsung Galaxy AI (millions of users). Blog: https://research.google/blog/generating-zero-shot-personalized-portraits/ImagenThings: Developed & scaled ImagenThings for identity-preserving text-to-image generation. Managed technical aspects from model design to large-scale training/inference optimization. Launched at Google Cloud Next 2023.Controllable Generation: Implemented efficient, lightweight controls for conditioning image generation on external signals (depth, edges, color). Empowered Google teams to adapt models; led to a sketch-to-image feature launch on Samsung phones globally.Imagen 3: Contributed to the development of Imagen 3, Google’s state-of-the-art text-to-image model.

Education

• University of Southern California

  Master of Science - MS, Computer Science

• The University of Texas at Dallas

  Doctor of Philosophy - PhD, Computer Engineering

Skills

• Python
• Powerpoint
• Microsoft Excel
• Microsoft Word
• Management
• Research
• Microsoft Office
• Sales
• C++
• Java
• Training
• C
• Photoshop
• Leadership
• Machine Learning