Grand Finale Finalist — Meta PyTorch OpenEnv Hackathon 2026, selected out of hundreds of submissions.
A multi-agent RL environment for enterprise email triage. Agents learn to classify, prioritize, route, and flag phishing emails through a 3-tier task curriculum with a dense reward structure and a symbolic safety layer that hard-blocks phishing responses regardless of agent policy.
Training used GRPO (Group Relative Policy Optimization). The environment ships as a full OpenEnv-spec RL gym — with live stats, a playable UI, and an API endpoint — deployed open-source on Hugging Face Spaces.
n8n is absolute gold for orchestrating lead pipelines like this! Connecting Gmail parsing with LLM qualification saves teams dozens of hours weekly. As someone who builds custom agentic lead automation workflows, seeing clean visual architectures like this is super satisfying. Top-tier build, Talha!.
Another late night. Building a quant trading system an agentic model where different AI agents handle research, testing and risk, and none of them is allowed to place a trade on its own.
The hardest part so far? Being honest when the results say "not yet." Most strategies I've tested failed once real costs were included. That's exactly what testing is for.
Keeping The Psychology of Money and The Diary of a CEO close while I figure it out. What are you reading these days?
Curious how you’ve separated the agents from execution. When you say none can place a trade on its own, is that enforced through a separate execution service with fixed risk checks, human approval or both? I’d love to understand where the agent's decision-making ends and the hard rules take over.
Hi! I’m a college student and an aspiring AI/ML engineer who loves building things with technology and turning ideas into real projects.
I built the Arshi Masale website for a local spice business from Sindhudurg, Maharashtra. This project was special to me because it showed me that even as a student, I can use what I’m learning to create something useful for a real business.
I focused on making it modern, simple, mobile-friendly, and ready for future e-commerce features. This is one of the projects that motivates me to keep learning, building, and eventually turn my passion for AI and technology into a career.