About Me
My Story
Agentic AI is not a category I follow. It is what I build.
Chapter One
Who I Am
I am Payal Nagaonkar, an Agentic AI Engineer and AI/ML Engineer based in Boston, MA. I build AI agents. Not demos. Not prototypes that fall apart under real conditions.
I architect the infrastructure behind agents that reason through multi-step problems, call tools intelligently, recover from failure, and stay coherent across long conversations without losing the thread.
When I step away from the terminal, I am gaming (Valorant, MegaBonk), cooking something ambitious, or finding ways AI intersects with everything I love.
Chapter Two
Education
In December 2024, I graduated from Northeastern University in Boston, MA with a Master of Science in Computer Software Engineering. Boston became my home, and Northeastern shaped the engineer I am today.
My foundation was built at the University of Mumbai, where I earned a Bachelor of Science in Electronics and Computer Engineering and discovered a deep fascination with systems that think.
Style Meets Code
Fashion × Tech × AI
Fashion has always been a form of self-expression for me. I am fascinated by the intersection of style and technology, where AI is revolutionizing how we discover, create, and experience fashion.
From AI-powered styling recommendations to sustainable fashion tech, I believe the future of fashion is digital. It is where creativity meets innovation, and I am here for all of it.
Technical Depth
How I Build Agents
Agent Architecture
My technical foundation runs through LangChain, LangGraph, ReAct, multi-agent orchestration, and agent loops. I design systems where agents delegate to one another, manage state across complex trajectories, and operate reliably in production. Function calling and tool use are core to how I think about agent design from day one.
Evaluation & Production
I take evaluation seriously. Agent evals, trajectory evaluation, and benchmarking are how I know a system works rather than just appears to. I build conversational memory, manage context windows carefully, and implement memory summarization so agents hold up under the kind of extended, unpredictable interactions real users throw at them. I monitor everything, down to infrastructure level with Kubernetes.
Engineering Stack
Fluency across Python, TypeScript, FastAPI, Node.js, AWS, and Docker, with hands-on experience shipping data pipelines, real-time systems, and AI-integrated products across multiple production environments.
“Agentic AI is not a category I follow. It is what I build.”
Payal Nagaonkar
My Values
Reliability
I build agents that work in production, not just in demos. Reliability under real conditions is non-negotiable.
Rigor
Evaluation, benchmarking, and trajectory analysis. I know a system works because I can measure it.
Vision
Seeing beyond the code. Understanding how multi-agent systems can transform how humans and AI collaborate at scale.
Beyond Code
What Drives Me
Tech & AI
Building the future
Gaming
Valorant & MegaBonk
Cooking
Culinary adventures