Prajveen Kumar Beesam
AI/ML Engineer.
3+ years experience in Machine Learning, Deep Learning and their applications across Computer Vision, NLP, Recommender Systems and Robotics.
3+ years experience in Machine Learning, Deep Learning and their applications across Computer Vision, NLP, Recommender Systems and Robotics.
3+ years experience in Machine Learning, Deep Learning and their applications across Computer Vision, NLP, Recommender Systems and Robotics.
I'm proficient and experienced with creating, pre-training and fine-tuning (multimodal) machine learning models in domains such as:
Medicine, Finance and Robotics.
I'm proficient and experienced with creating, pre-training and fine-tuning (multimodal) machine learning models in domains such as:
Medicine, Finance and Robotics.
I'm proficient and experienced with creating, pre-training and fine-tuning (multimodal) machine learning models in domains such as:
Medicine, Finance and Robotics.
Weights and Biases
Weights and Biases
Weights and Biases
Explicability for Trustworthy AI Systems
Utilize techniques for Attention and Embedding visualizations to explain model predictions, enhancing trust and facilitating debugging.
Explicability for Trustworthy AI Systems
Utilize techniques for Attention and Embedding visualizations to explain model predictions, enhancing trust and facilitating debugging.
Explicability: Trustworthy AI
Utilize techniques for Attention and Embedding visualizations to explain model predictions, enhancing trust and facilitating debugging.
Deploy and Monitor your AI pipelines with ease
Deploy trained models as APIs or web services, integrate them into larger systems, and monitor performance for data drift and concept shift.
Deploy and Monitor your AI pipelines with ease
Deploy trained models as APIs or web services, integrate them into larger systems, and monitor performance for data drift and concept shift.
Transfer Learning for Efficient Model Adaptation
Leverage pre-trained models (e.g., Mixtral, Llama, ViT) and fine-tune them for new tasks, accelerating development and improving performance with limited data.
Transfer Learning for Efficient Adaptation
Leverage pre-trained models (e.g., Mixtral, Llama, ViT) and fine-tune them for new tasks, accelerating development and improving performance with limited data.
Explore recent Projects!
Check out production ready solutions deployed in the cloud!
Explore recent Projects!
Check out production ready solutions deployed in the cloud!
What you get
Excellence
Experiences
Check out what I've been working on lately! See my most recent contributions.
Experiences
Check out what I've been working on lately! See my most recent contributions.
Experiences
Check out what I've been working on lately! See my most recent contributions.
