Company: iAapTeck Software Labs
Role: AI ML Engineer
Project: Marathi Kida Creative Media LLC
About Project:
This project involved designing and developing an AI-powered e-commerce platform for Kidebaj, focused on intelligent product recommendations, smart search, customer engagement automation, inventory forecasting, and AI-driven marketing optimization. The work included building scalable backend services and ML-powered systems to enhance customer shopping experiences, personalize product discovery, and improve operational efficiency for the Marathi cultural merchandise platform.
Key Technical Works:
- Developed AI-based recommendation systems utilizing Collaborative Filtering and customer behavior analytics for personalized product suggestions.
- Built intelligent NLP-based search and semantic matching solutions for enhanced product discovery views.
- Integrated Azure Cognitive Services and Azure AI Vision for intelligent image analysis, product tagging, and AI-powered customer engagement capabilities.
- Designed AI-driven chatbot workflows and automated customer engagement solutions utilizing Azure AI Services concepts.
- Implemented inventory forecasting and demand prediction models utilizing Scikit-learn, Pandas, and Azure ML.
- Developed marketing analytics and behavioral tracking systems to improve customer retention and campaign optimization.
- Built scalable REST APIs and backend services for AI/ML integrations featuring low-latency processing.
- Utilized Azure Machine Learning, Azure Kubernetes Service (AKS), Azure DevOps, and Azure Container Registry (ACR) for scalable MLOps deployment workflows.
- Containerized AI services using Docker and implemented CI/CD automation pipelines for production deployments.
Skill Sets:
Python, Flask, Scikit-learn, Pandas, NLP, Recommendation Systems, Collaborative Filtering, Semantic Search, SQL, REST APIs, Docker, CI/CD, Git/GitHub, Behavioral Analytics, AI Chatbots, Inventory Forecasting, and Marketing Analytics.