• 🧩 Passionate about designing, deploying, and optimizing Machine Learning and Generative AI systems using Azure ML, AKS, MLflow, and DevOps CI/CD.
• ☁️ Experienced in Azure and AWS, building scalable AI pipelines, MLOps workflows, and cloud-native deployments.
• 🤖 Skilled in Deep Learning, NLP, Computer Vision, and RAG-based Generative AI applications.
• 🧑‍🏫 Mentored 10,000+ students and 500+ faculty members through AI upskilling programs sponsored by Microsoft, TCS, and SAP.
• 💬 Empowering others through AI, education, and innovation.

🧠 AI Consultant – Edunet Foundation
Delivering end-to-end training and mentorship in Machine Learning, Deep Learning, NLP, and Cloud (Azure & AWS).
Designing production-ready AI systems and MLOps pipelines for real-world learning and deployment.

💻 Software Engineer – MeasureOne
Developed server-side logic, optimized APIs, and automated data scraping pipelines, improving performance by 10%.

🧪 Senior Automation QA – LTIMindtree
Built automation frameworks and conducted performance testing for scalable enterprise applications.

🎓 M.Tech in Computer Science and Technology – IIT Tirupati
📈 Major GCPA: 8.6 / 10
💡 Focused on Applied AI, Cloud Systems, and Model Optimization.

End-to-end ML pipeline built with Scikit-learn, MLflow, Docker, Jenkins, and Azure ML, achieving 92% accuracy in predicting cancellations.

Developed a Generative AI-powered RAG system using LangChain & Azure OpenAI, deployed on AKS with CI/CD automation in ADO Pipelines.

Built Deep Learning models (BERT, LSTM) for emotion detection and deployed on Azure ML + Streamlit, achieving 90%+ accuracy.

Developed an unsupervised Autoencoder & Isolation Forest-based pipeline for anomaly detection in video streams using Azure ML & MLflow.

• 🚀 Docker & Kubernetes for advanced container orchestration
• 🧩 MLOps pipeline automation using Azure ML + MLflow
• 📘 Reading spiritual and mindfulness literature for balance and focus

⭐ “Empowering people through AI, education, and innovation.”