Kam Lall

Built AI features for enterprise AI model risk management platform serving global financial institutions using Python and React. Designed and shipped ValidMind's agentic chatbot entirely, including LangGraph agentic backend, SSE streaming frontend, hybrid RAG retrieval, LLM guardrails, and full observability.

Led a team of 9 engineers to build the foundations for a multi-agent AI architecture with a focus on UI and backend API integration. Created a proposal and proof of concept for AI Evaluation using DeepEval for AI chat conversations.

Led a team of 7 engineers in a startup to build an innovative travel application focused on group travel. Instrumental in helping the company launch their flagship product to production under intense deadlines.

Designed and implemented features for processing U.S. medical documents, adding structure to complex unstructured data. Prioritized and implemented architectural improvements and new features in ReactJs and PHP.

Researched, defined, and implemented the software architecture of a virtual reality platform to ensure scalability, performance, and reliability of microservices architecture. Hands-on implementation of features using Angular, NodeJs, and a variety of libraries including A-frame.

Developed financial features using Python/Django and ReactJs for Gourmet Growth, including QuickBooks integrations, Celery tasks, encryption, data lake strategy, and financial calculations. Architected a full-stack e-commerce solution for Satel Creative using Angular and C# with ASP.NET Core & Azure functions.

Architected and scaled a service using Node.js with Koa to store and retrieve information about publisher advertising blocks. Introduced ES6/TypeScript to the frontend codebase for the core product.

Architected and implemented multiple frontend applications and backend microservices for an Internet of Things platform using AngularJs, Node.js, and MongoDB.

Responsible for the architecture and implementation of key software components in a startup for a new email application using AngularJs, Node.js, MongoDB, Mongoose, and Python.

Team lead for a project involving live video communication between doctors and patients. Developed various server-side modules using Node.js and MongoDB such as a referral system, rewards system, and authentication system.

Part of the web infrastructure team that implemented reusable JavaScript components for other developer teams and facilitated discussions on framework/library selection and architectural questions.

Honors Bachelor of Applied Science in Electrical Engineering from the University of Waterloo.