Hari Periyasamy

LinkedIn profile

Topics

AI-Native Frontend Architecture (building production UIs for LLM-powered applications), Server-Driven UI for Agentic Workflows (AG-UI, MCP, A2A protocols), Real-Time Streaming Architecture in React/TypeScript, Frontend System Design at Scale (lessons from Amazon CloudWatch LiveTail and Shopify's RTB platform), Career Paths from Junior to Staff/Principal Engineer, Modern Frontend Performance and Observability.

Teaching experience

ADPList Mentor (Top 10 UX Engineering Mentor globally out of 38,000+ mentors), 2023–Present, conducted 1:1 and group mentoring sessions on frontend architecture, system design, and career growth for engineers worldwide. Guest technical talks and knowledge-sharing sessions at Amazon/AWS and Shopify on topics including real-time streaming architecture, Server-Driven UI, and frontend system design. Master's in Informatics, Northeastern University, presented capstone research and led peer study sessions.

Interest & style

Interest: I've spent 10+ years building production systems at Amazon/AWS, Shopify, and Autodesk, and I've seen firsthand how wide the gap is between what's taught in classrooms and what's actually deployed in industry, especially in AI-native frontend systems. I want to help close that gap. I'm already a Top 10 UX Engineering Mentor on ADPList and actively mentor engineers globally, so teaching is a natural extension of what I do. Long term, I'd love to build lasting relationships with CS departments where I can return each semester, judge capstone projects, and help shape curriculum around emerging topics like agentic UI and LLM-powered interfaces. Lecturing style: Hands-on and demo-driven. I ground every concept in real production systems I've built — showing actual architecture diagrams, code snippets, and live demos rather than slides full of theory. I keep sessions interactive with Q&A throughout, encourage students to challenge assumptions, and always connect technical decisions back to real business impact. I adapt depth based on the audience, from CS freshmen to senior capstone teams. Other preferences: Open to any US university. Particularly interested in CS, HCI, software engineering, and data science programs. Strong preference for courses covering web development, frontend architecture, AI/ML applications, or capstone/senior design courses. Northeastern University alumnus — happy to prioritize North east colleges or universities if opportunities arise.

Semesters available

Summer 2026, Fall 2026, Spring 2026

Date/time availability

Anytime during Weekdays and weekends

Opportunity types

Online lecture, In-person lecture, Career services organized panel/talk, Student organized panel/talk

Lectures per year

As many as available

Prep time

5-10 hours

Willing to travel to

Anywhere within US