About

Dilkush Malav is a highly skilled Software Engineer with a passion for Data Science and Machine Learning. He is currently working at Pluang and is actively seeking new talent to join his team. Dilkush has a strong background in Data Structures and Algorithms, Statistics, Machine Learning, and Deep Learning. Dilkush has 1.86 years of relevant experience in the field and has previously worked as a Data Scientist at Ultrainstinct. During his time at Ultrainstinct, he worked on PyTorch to improve existing state-of-the-art Image Captioning Algorithms and developed a transformer-based (Encoder-Decoder) Image Captioning Model. He also deployed the model using Docker and Flask on the AWS server. Dilkush has also worked as an Innovaccer hackercamp'19 at Innovaccer, where he was selected to participate in the hackercamp. Along with his team, he built a Machine Learning model and user interface for breast cancer detection using thermal images to train a CNN Neural Network. The model achieved an accuracy of 92.66% in just 36 hours. Dilkush's educational background includes a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Roorkee. He has a diverse skill set that includes AWS, ML, Deep Learning, Flask, Docker, Research Scientist, Pytorch, CNN, Neural Networks, Object detection, Computer Vision, Object Detection, MySQL, MongoDB, Kafka, Spring Boot, Spring, Python, and Java. Overall, Dilkush is a highly motivated and skilled Software Engineer with a passion for Data Science and Machine Learning. He is a valuable asset to any team and is always seeking new challenges and opportunities to grow and learn.