AI/ML Engineer | MLOps | Azure Certified | Computer Vision
🔹 AI/ML Engineer with 3.5+ years of experience in applying AI, Machine Learning and Deep Learning algorithms in Medical Diagnostics and Imaging, and Industrial Image Processing.
🔹 Eager to tackle problems across data-driven applications, image & video processing, Computer Vision, GANs, LLMs, and AI Agents.
🔹 Passionate about AI-driven automation, MLOps, 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 OOPS principles, high code standards (PEP8), and semantic versioning
🔹 Programming - Python, C++
🔹 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
🔹 LLM Development & API Deployment – Fintuning LLMs, creating RAG-based LLM chatbots for specific use cases
🔹 AI Model Research – Working on forecasting models, agent-based models, and ranking models
🔹 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 React (Web & Native), Vue.js, PyQt
