Gradients and Roses
How a childhood book taught me about deep learning and the art of identifying invisible patterns in data.
Around 15 years of experience architecting distributed systems, real-time data platforms, and agentic AI solutions. Currently serving as technical lead in a cross-discipline team of 20+ engineers at Amazon's Consumer Robotics division, building multi-agent AI platforms that power intelligent conversations for consumer robots.
My work spans prompt engineering, Language Models (Claude, GPT, Qwen), RAG architectures, vector databases, and edge-cloud orchestration. From embodied AI delivering emotionally intelligent interactions to agentic systems that auto-generate applications, I thrive at the intersection of AI, robotics, and human-centered experiences. Passionate about building high-performing collaborative teams and tackling complex challenges.
How a childhood book taught me about deep learning and the art of identifying invisible patterns in data.
On identity, purpose, and what it means to be a builder when machines can build