ROSHAN RAJ M.P

Experienced Platform and DevOps Tools Support Engineer with over 11 years of hands-on experience in providing operational support, onboarding applications, and troubleshooting enterprise-grade infrastructure services. Skilled at resolving complex technical challenges and enabling seamless integration with APIs, IAM systems, and Kubernetes-based platforms. Extensive experience working with Azure PaaS services and exposure to AWS at the L1 support level. Recognized as a dependable team player, with a strong focus on service excellence and cross-functional collaboration.

Currently enhancing my knowledge in Artificial Intelligence and Machine Learning through a professional certification course, driven by a strong passion for emerging technologies and their real-world applications.

• Containerization and orchestration - Kubernetes, service mesh (Istio)
• API management and access control - API proxy, IAM (Identity and Access Management), SSO (Single Sign-On), Postman
• CI/CD and automation - Jenkins, Control M, Concord, Chef, Eyeshare
• Monitoring, logging and observability - Splunk, Kibana, Power BI
• Database and SQL tools - DBeaver, PGadmin 4
• IT service management (ITSM) - ServiceNow, Jira, Remedy
• ML tools: scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, Seaborn

• One-year AI/ML Certification Program – [Great Lakes]

Course Topics Covered :

• Exploratory Data Analysis
• Supervised Learning: Linear Regression, Decision Trees
• Unsupervised Learning: K-Means Clustering Deep Learning: Neural Networks (ANN, CNN basics)
• Natural Language Processing: Retrieval-Augmented Generation (RAG) based models Model Evaluation, Feature Engineering, Hyperparameter Tuning
• Computer Vision.

Projects Completed: 

• Food Hub data analysis project for Python and data analysis (EDA exposure)
• Personal loan campaign, easy visa classification projects with decision trees, bagging, and boosting – implemented and visualized tree-based classifiers with model explainability
• Airbnb project using linear regression – built a regression model using Scikit-learn, performed feature selection, and tuned the model for performance;
• ReneWind project – built a basic neural network using TensorFlow;
• RAG-based QA bot – created a proof-of-concept NLP model for a medical journal, combining vector databases and pre-trained models to answer domain-specific queries

· Ongoing Post Graduate Program in Artificial Intelligence and Machine Learning in Great Lakes.

· Amazon web services course and completed Certification on AWS solution architect Level.

· Google cloud professional cloud architect certification.

• Photography, Travelling, Music and movies.