Company: Programming LLC
Role: MLOps Engineer
Project: SIS Group Enterprises
About Project:
This project involved designing and developing AI/ML-driven backend solutions for the SISCore DTSS ERP System, transforming traditional ERP workflows into intelligent, analytics-driven enterprise systems. The work focused on building scalable REST APIs, machine learning pipelines, NLP/OCR automation, and predictive analytics capabilities that integrated directly with core ERP modules like Sales & Accounting, Purchases, and Inventory Management.
Key Technical Works:
- Developed scalable REST APIs and backend services for various ERP modules.
- Implemented machine learning models for sales forecasting, payment prediction, and inventory optimization using XGBoost, Random Forest, and Scikit-learn.
- Built NLP and OCR pipelines to automate invoice and document processing.
- Developed semantic search solutions utilizing FAISS vector databases.
- Containerized machine learning services using Docker and deployed them on Kubernetes (AKS)
- Implemented CI/CD pipelines and collaborated with cross-functional teams to ensure scalable AI-ready deployments
- Designed and managed AI/ML cloud infrastructure utilizing Azure Machine Learning, Azure Cognitive Services (OCR/Form Recognizer), Azure Kubernetes Service (AKS), Azure DevOps, Azure Container Registry (ACR), and Azure Blob Storage to enable automated CI/CD delivery and intelligent document processing.
Skill Sets:
Python, FastAPI/Flask, REST APIs, Scikit-learn, XGBoost, Pandas, spaCy, NLTK, OCR, FAISS, Docker, Kubernetes (AKS), Azure Cloud, CI/CD, Git/GitHub, Azure DevOps, SQL, Azure Machine Learning, Azure Cognitive Services (OCR/Form Recognizer), Azure Container Registry (ACR), & Azure Blob Storage.