π Master's in Embedded Systems (TU Chemnitz, Germany)
π Bachelor's in Electrical Engineering (India)
βοΈ Background: Machine Learning & Artificial Intelligence | π Based in Pune, India
πΌ Currently working in DevOps and its intersection with Machine Learning & Generative AI
π‘ Passionate about Computer Vision, Deep Learning, and MLOps
π± Enhancing skills in ML pipelines, deployment, and AI research
Iβm an ML and AI enthusiast with a strong engineering foundation and international academic experience.
After completing my Masterβs at TU Chemnitz and my Bachelorβs in Electrical Engineering, I focused on Machine Learning, Computer Vision, and Deep Learning, and recently started working in DevOps to strengthen my expertise in cloud-native environments.
- πΌοΈ Skilled in Image Processing, Computer Vision, and Deep Neural Networks
- π Interested in end-to-end ML pipelines, Generative AI, and deployment workflows
- π Exploring NLP and Transformer architectures
- π οΈ Gaining hands-on experience with DevOps, cloud platforms, automation, and CI/CD
- π Preparing to publish projects on GitHub, structured into Computer Vision, NLP, and Image Processing
My long-term vision is to integrate DevOps, ML, and Generative AI practices to create scalable and production-ready intelligent systems.
| Languages | ML/DL Frameworks | MLOps & Infra | DevOps & Tools |
|---|---|---|---|
| Python, C/C++, MATLAB | GenAI, PyTorch, PyTorch Forecasting | AWS SageMaker, MLflow, GitHub Actions | Docker, Kubernetes |
| Bash, SQL | TensorFlow, Scikit-learn, Optuna, SciPy | AWS (EC2, S3, IAM, CloudWatch) | Linux, Git, CI/CD |
| HuggingFace Transformers, SHAP | Model Monitor & Clarify | Boto3 SDK, Parquet | |
| OpenCV, Pandas, NumPy, Polars | AWS Budgets & Cost Ops |
βοΈ "The present is theirs; the future, for which I really worked, is mine." β Nikola Tesla