Dhruv

Biography:

Dhruv is a Full Stack Software Engineer at Google DeepMind, where he focuses on the product layer and generative applications. An alumnus of Northeastern University, Dhruv’s background spans full-stack engineering and web systems.

At DeepMind, Dhruv's daily work involves navigating the rapid shift toward AI-assisted development, balancing product delivery with system accountability, and defining human-in-the-loop practices to preserve codebase integrity. Passionate about community building and bridging the gap between academia and industry, Dhruv frequently shares practical engineering insights and mentors early-career developers on navigating the evolving tech landscape.

LinkedIn: https://www.linkedin.com/in/parthadhruv/

Email:

Address:United States

Kunal

Biography:

Kunal is a Machine Learning Engineer at Amazon AGI Lab, where he works on post training the frontier AI models. He completed his masters from Northeastern University, and he has experience in training deep neural networks, inference optimizations and evaluation systems.

At Amazon, Kunal works on post-training large language models, helping improve their reasoning, tool-use capabilities, and performance in real-world agentic environments. His work spans reinforcement learning, benchmark design, inference integrations, and evaluation workflows across domains such as finance, web search, and enterprise applications.

Kunal is especially interested in the space where AI research meets production engineering, with a focus on making frontier models more measurable, dependable, and practical to deploy at scale.

LinkedIn: https://www.linkedin.com/in/kunalmishra1/

Email:

Address:United States