Hariharan Sivakumar

Background

About Hariharan Sivakumar

Data Scientist | MLOps Engineer | AI & Cloud Enthusiast 3+ years in Machine Learning, NLP, Deep Learning, and MLOps Expertise: ML | Deep Learning (CNN, ANN)| NLP | LLM | RAG | MLOps | LangChain Cloud & MLOps: Azure | Databricks | CI/CD | Model Deployment | Anomaly Detection Tech Stack: Python | SQL | Flask | Django | FastAPI | Automation Anywhere Key Achievements: Model Migration & MLOps Transformation: Led the migration of ML models from AzureML to Databricks, ensuring a seamless transition while maintaining accuracy, improving scalability, and reducing infrastructure costs by 20%. Anomaly Detection & Monitoring: Developed and deployed an anomaly detection system for API log monitoring in Azure environments, reducing downtime by 25% and improving failure detection accuracy. Predictive Analytics for Performance Optimization: Built ML-based predictive analytics models for system performance forecasting, enabling proactive issue resolution and improving decision-making efficiency by 30%. Automation & RPA Success: Designed an RPA-based document processing system using Automation Anywhere, automating 85% of manual document migration and improving data accessibility. Scalable CI/CD Pipelines: Developed and automated CI/CD pipelines using Azure DevOps, reducing ML model deployment time by 30% through streamlined workflows and infrastructure automation. Data-Driven Dashboards: Created dynamic Power BI dashboards that provide real-time insights, empowering business leaders to make faster, data-backed decisions. Enhanced AI Workflows: Standardized MLOps best practices across teams, improving model monitoring, versioning, and retraining workflows, resulting in faster model iterations and improved performance. Certifications: Microsoft Azure AI-900 | DP-900 | AZ-900 | AZ-104 | Databricks Lakehouse Fundamentals