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AI Tinkerers - Dublin
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solas

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Last saved: May 19 at 9:18 PM IST

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Balaji Segu Krishnaiah Team Lead RSVP Approved

Student at Dublin City University
Here is a clear, impactful breakdown of responsibilities to copy and paste into the submission form. It logically splits the work between the two of you while explicitly highlighting the sponsor tools (Lyzr) and technologies used. Balaji Segu Krishnaiah (Lead) Role: Core Archit
Balaji Segu Krishnaiah is a Software Engineer at Tejas Networks, with a background in MSc in Computing (Artificial Intelligence) from Dublin City University and a B.Tech in Computer Science from B. M. S. College of Engineering. He is open to new opportunities and seeking knowledge sharing, community, friendships, and co-founders.

Sai Shreyas Gubbi Harish RSVP Approved

Web3 Developer & Community Member at Superteam Ireland
Role: UI/UX & State Management Responsibilities: Directed the frontend layout and database integration. Implemented Prompt-Driven Design using Lyzr AI Architect's Layout Engine, specifically enforcing the Heritage Dark theme for the dashboard UI. Managed the MongoDB integration (via Lyzr Studio) for stateful memory management to store the master wiki, and ensured strict Markdown parsing for the final ATS-ready resume outputs.
Namasthe, I am Sai Shreyas, the runner-up for Amazon Global Al Hackathon 2025, winner of Superteam Ireland Ideathon. I have 3 years of working experience at Ernst and Young(EY) as an Associate Consultant and have helped optimize clients solutions and was awarded as: EY Learning Champion 2025 - Hall of Fame.
I have worked on projects like: Medinova Al to resolve Irelands long waiting queues in healthcare and a medical passport feature to help users manage reports and health, Campus Hub a unified platform for universities and students to manage all events and other stuffs, Smartharvester to help farmers cultivate and manage their crops. Doing my research on: An Adaptive Cloud Native Orchestration Framework for Management of Distributed Microservice Pipelines for solving the auto scaling pipeline.