Deep Chakraborty Email & Phone Number

Amherst, Ma, Us

Amherst, Massachusetts, Us

Worked at the Remote Hyperspectral Observers (RHO) group under the supervision of Dr. Mario Parente on self-supervised learning and image processing for geologic categorization from Mars Science Laboratory (Curiosity) images. (Published in Earthvision workshop, CVPR 2022)Worked at the Computer Vision Lab under Dr. Erik Learned-Miller. • Worked on unsupervised motion segmentation, tracking and representation learning.• Designed an End-to-End framework for improving object detection for arbitrary categories using Unsupervised Hard Negative Mining (Published in ECCV 2018).Worked at the Information Fusion Lab with Dr. Madalina Fiterau on Improving Pedestrian Detection in Thermal Images using Deep Saliency maps (Published in PBVS workshop, CVPR 2019).

Amherst, Massachusetts, Us

I TA-ed Machine Learning courses at all levels CMPSCI-389/589/689, and undergrad level Artificial Intelligence course CMPSCI-383.

Cupertino, California, Us

Researcher in Scene Understanding and Reasoning team at the Video Computer Vision group, working on Neural Architecture Search.

Cupertino, California, Us

Researcher in Scene Understanding and Reasoning team at the Video Computer Vision group, working on scene graph generation and object detection.

Eindhoven, Noord Brabant, Nl

• Non-Parallel Emotion Conversion in Speech using Disentangled Representation of Emotion specific and emotion invariant content using Generative Adversarial Networks, Auto-encoders and Style Transfer Techniques, with Python and Tensorflow (Published in INTERSPEECH 2019).• Realtime Automatic Emotion Recognition from Speech and Audio Event Detection using Bidirectional Recurrent Neural Networks with Attention and Convolutional Neural Networks.• Philips sensor segmentation from Google StreetView Images to generate product insights, using Python and Keras framework.

Fremont, Ca, Us

I was part of the Product Quality Enhancement team for RealStor storage solutions in the Cloud Systems and Silicon Group (CSSG) of Seagate. My responsibilities included:• Triaging system logs from data unavailability/ loss cases reported from HPE MSA storage arrays (RealStor OEM) deployed around the globe and filing and managing bugs in product firmware, if any. • Providing feedback directly to the L1/L2/L3 teams on customer support performance, suggesting improvements in technical know-how if required.I developed expertise in the areas of RAID, Cache, Paged Storage, Host Connectivity (FC/iSCSI/SAS) and Storage Area Network (SAN) configuration.

Mandi, Himachal Pradesh, In

• Research on a speech classification problem titled "Bird Call Identification", better known as birdsong recognition using Deep Learning, dynamic kernel Support Vector Machines and Gaussian Mixture Models, using Tensorflow, MATLAB and SVMTorch.• Published at International Conference on Machine Learning Applications 2016.

Mandi, Himachal Pradesh, In

I worked on kernel methods for pattern analysis and modified SVMTorch, (C++ library for support vector machines) to directly train using user defined kernel gram matrices.

Allahabad, Uttar Pradesh, In

Worked at Robotics and AI Lab. Developed a Semi-humanoid robot called SMART (Social Mobile Autonomous Robot Testbed) based on subsumption architecture which would find its way around the lab and demonstrate its features to visitors. Responsibilities included:• Writing OpenCV code in C++ API to allow deployment on embedded hardware• Writing real time navigation and obstacle detection/avoidance algorithms• Deploying the software on a single board embedded Linux computer

Doctor Of Philosophy - Phd, Computer Science

Master Of Science - Ms, Computer Science

Bachelor Of Technology (B.Tech.), Electronics And Communications Engineering