How Meal Recommendations Actually Work Imagine you’re running a food marketplace with thousands of users and hundreds of meal options. How do you figure out what someone might want to eat? Two people who look identical on paper might have completely different taste in food. One person loves spicy Thai dishes, the other can’t stand them. So if demographics aren’t the answer, what is? Find People Like You Collaborative filtering works on one simple idea: ...
AI enhanced monitoring - Grafana and CrewAI Monitoring systems have come a long way in helping teams keep an eye on infrastructure. Tools like Prometheus, Grafana, and Alertmanager do a great job of showing metrics, triggering alerts, and providing dashboards. But in many cases, alerts only tell us that something is wrong—not why it happened or what to do next. To explore how AI could fill this gap, I built a small proof-of-concept that integrates Prometheus, Alertmanager, Grafana, and CrewAI. The idea: connect the traditional monitoring flow to AI agents that can help make sense of alerts in a more useful way and perform actions based on the alerts. ...
AI-Powered Freelancer Payout Crew This Freelancer Payout Crew implemented using CrewAI, is a multi-agent AI system that automates the complete lifecycle of freelancer payments while aiming for regulatory compliance. It processes payout requests through six specialized agents, each responsible for a specific aspect of the payment flow. The Business Challenge Managing payments for a global freelance workforce is a complex, manual, and time-consuming operation. Finance teams are burdened with: Compliance Risks: Manually screening for Anti-Money Laundering (AML) regulations and international sanctions is error-prone. ...
Resume Checker - Chrome Extension In today’s competitive job market, it’s difficult to know if your resume truly meets the needs of a specific job description. I built a Chrome extension to solve this pain point. This tool gives job seekers instant, actionable feedback by identifying exactly how well their provided resume matches a chosen job description in order to make improvements and increase their chances of landing an interview. ...
Building a Privacy-First Local RAG In today’s data-driven world, organizations are caught between two competing needs: leveraging the power of AI to manage massive amounts of scattered information and ensuring that sensitive data never leaves their secure environment. Traditional search methods fall short, often returning raw documents without context or risking data exposure through external cloud services . With this project I tackles this challenge by building a fully local Retrieval-Augmented Generation (RAG) chat application. It combines local Large Language Models (LLMs) with a local data retrieval pipeline. ...
n8n Workflow to find Fintech issues reported on Reddit In the fast-paced world of financial services, critical user insights and emerging issues are often buried in scattered community discussions across Reddit and other forums. Manually tracking these conversations is time-consuming. This project demonstrates a scalable solution: an automated n8n workflow that continuously scans key financial subreddits, uses AI to extract user-reported issues, and delivers summarized, actionable insights directly to google sheets. ...