Summary
Aditya Shankar is an expert technical service consultant and full-stack engineer with nine years of experience building and deploying GPU-backed ML systems and production web applications from Germany. At RunPod he helped hundreds of organizations optimize and productionize CUDA-based VM deployments, fine-tune state-of-the-art text and image models (including Llama and Stable Diffusion variants), and authored technical docs and blog content that supported a seed round backed by Intel. Previously he built scalable front-ends and scraping pipelines—using Svelte, Firebase, Selenium and Twilio—for consumer platforms and 20+ client projects on Upwork, including large real-estate data extractions. Comfortable with PyTorch, Hugging Face, raw CUDA and end-to-end web stacks, he blends low-level performance tuning with product-focused engineering. You can find more about his work at river.berlin.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Software Engineering, A, Bachelor of Engineering - BE, Computer Software Engineering, A at Arizona State University