
Arhum
MLOps Engineer and Machine Learning
Competenze

Consulta i miei servizi


Portfolio
Esperienza lavorativa
AI Kirana Intelligence
Self Employed • Lavoratore autonomo
May 2026 - Present • 2 mos
AI-Kirana-Intelligence (AKI) is an AI-powered retail management platform designed for kirana stores, supermarkets, and other retail businesses to streamline daily operations and support data-driven decision-making. The system combines modern web technologies with Artificial Intelligence to provide an intuitive dashboard for managing inventory, monitoring sales performance, and improving business efficiency. Current Features * 📦 Inventory management with product and stock tracking * 💰 Sales and revenue management * 📊 Real-time business dashboard with key performance metrics * 📈 Interactive sales and revenue visualizations * ⚠️ Dead-stock detection and inventory alerts * 👥 Role-based authentication and user management * 🤖 RAG-powered AI assistant for answering business-related queries and assisting users * 🔒 Secure REST API built with FastAPI * 🎨 Modern, responsive user interface built with React, Vite, Tailwind CSS, and shadcn/ui Upcoming Features * 📈 Machine Learning models for product demand forecasting * 💵 Revenue prediction using historical sales data * 🚨 Anomaly detection to identify unusual or fraudulent sales patterns * 🎙️ Agentic AI voice assistant capable of performing CRUD operations through natural language voice commands * 💡 AI-powered business recommendations for inventory optimization and smarter purchasing decisions * 📱 Mobile application for store owners and employees * ☁️ Cloud deployment with CI/CD pipelines and MLOps for scalable production environments Technology Stack: Python, FastAPI, React, Vite, Tailwind CSS, shadcn/ui, PostgreSQL, REST APIs, RAG, Git, GitHub, Docker, with future integration of Machine Learning, Agentic AI, and MLOps technologies.
Data Analytics and Visualization Job Simulation
Accenture • Part time
Aug 2024 - Sep 2024 • 1 mo
Completed the Data Analytics and Visualization Job Simulation by Forage, where I worked on practical tasks involving project understanding, data cleaning, data modeling, data visualization, and storytelling. Analyzed datasets, created visualizations to communicate insights, and developed data-driven recommendations before presenting findings in a client-focused format. Strengthened my analytical thinking, problem-solving, and data visualization skills while following industry best practices.