Ritesh Gangnani

Background

About Ritesh Gangnani

With 5 years of hands-on experience in building end-to-end production-grade AI products I specialize in computer vision and generative AI. My journey began at Onward Assist where I developed cutting-edge tools for cancer research as a Machine Learning Researcher. Over three years I honed my skills in machine learning driving impactful innovations in healthcare. Transitioning to Segmind as a core team member I played a pivotal role in constructing optimized in-house AI pipelines focusing on efficiency and performance. Here I delved deep into Generative AI creating optimized Docker deployment pipelines with the fastest inference latencies utilizing technologies like TensorRT and StableFast. I also take pride in my contribution to the open-source community having built VoltaML—a library dedicated to optimizing computer vision models. My passion for innovation extends to consulting where I guide startups in developing and scaling their AI products to handle millions of inferences efficiently. I'm always eager to connect with fellow professionals share insights and explore new opportunities in the ever-evolving AI landscape. Let's connect and innovate together!