🌍 Finland | LinkedIn

I'm a Machine Learning Tech Lead with extensive experience in deep learning, computer vision, and speech recognition. My expertise lies in scaling and optimizing ML models for production environments, particularly in processing large-scale LiDAR and image data. With a passion for open-source contributions, I seek to collaborate and share my knowledge within the community and learn from them.

• Machine Learning & MLOps: PyTorch, CNN, Transformers, Point Cloud Classification, MLFlow, CI/CD, Distributed Training
• Computer Vision: Object Detection, Classification, Generation
• Speech Recognition: End-to-end ASR pipelines
• Tools & Platforms: AWS, Git, Docker, Scikit-learn, Numpy, OpenCV, HuggingFace, Ultralytics

1. ECLAIR Dataset: High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation
2. Federated Learning for Remote Sensing: CV application on satellite imagery
3. Audio Events Classification: ASR using CNN and Transformers
4. User Reviews Classification: Dataset curation and ML approaches

• M.Sc. in Machine Learning & Entrepreneurship - Aalto University & TU Berlin (2021)
  • GPA: 4.25/5.0, Graduated with honors
  • Awarded multiple scholarships including "Excellence Scholarship" and "Dean Scholarship 2020"
• Deep Learning Nanodegree - Udacity (2018)
  • Covered CNN, LSTM, RNN, Transformers, GAN
• B.E. in Computer Science - Sri Jayachamarajendra College Of Engineering (2016)
  • GPA: 8.27/10.0

Feel free to reach out for collaborations or just a chat about ML and tech!