AI/ML Engineer | MLOps | Azure Certified | Data Science

🔹 AI/ML Engineer with 3+ years of experience in Machine Learning, MLOps, and HPC.
🔹 Passionate about AI-driven automation, cloud computing, and scalable AI architectures.
🔹 Experienced in research-driven AI development, MLOps pipelines, and full-stack web applications.
🔹 Actively contributing to open-source projects by maintaining high code standards (PEP8), modular, and semantic versioning
🔹 Currently learning React (Web & Native) for building AI-driven applications.

🔹 Machine Learning & Deep Learning – Computer Vision, AI Model Training, Optimization
🔹 MLOps & AI Infrastructure – MLflow, DVC, CI/CD, Model Tracking, AI Pipelines
🔹 Cloud & DevOps – Azure ML, Docker, GitLab CI/CD, GitHub Actions
🔹 Backend Development & Databases – FastAPI, Flask, API Development, PostgreSQL, SQL
🔹 HPC & AI Scaling – AI training on HPC clusters, optimizing inference with TensorRT & ONNX
🔹 Full-Stack Web & GUI Development – Dash, Streamlit, Flask Apps, PyQt

🔹 Cloud Technologies – Expanding skills in Azure DevOps
🔹 Infrastructure as Code (IaC) & DevOps – Strengthening Kubernetes and Terraform
🔹 Optimized AI Pipelines – Improving AI inference speed on HPC clusters & Cloud
🔹 Scalable AI Deployment – Working with Docker, Kubernetes, and CI/CD
🔹 Large-Scale AI & MLOps – CI/CD for ML, Model Monitoring, Large-scale AI Training
🔹 Web & GUI Development – Exploring Django, React, Vue.js, PyQt
🔹 LLM Development & API Deployment – Creating LLM-based chatbot applications
🔹 AI Model Research – Working on forecasting models, agent-based models, and ranking models