Fatwir Sheikh Mohammed Email & Phone Number

Seattle, Washington, United States

Engineer in the Representation Learning Team!

Seattle, Washington, United States

· Enhancing the performance of a generalizable Foundation Model using contrastive self-supervised learning for Optical Coherence Tomography (OCT) Images· Utilized Vector Quantized Generative Adversarial Networks (VQGANs) and Multimodal Quantized Variational Autoencoders (MQVAEs) for reconstruction; qualitatively, decent reconstruction performance was.

Seattle, Washington, United States

· Made progress on the neural style transfer problem for stains using supervised and adversarial approaches. This could potentially lead to a 90% reduction in staining time and a 1000-fold decrease in staining costs. Further, this could also allow for virtual staining on the fly.· Experimented with normalization and chunking for large 3D datasets (∼250.

Seattle, Washington, United States

· Worked on the self-checkout problem using synthetic Image Generation (2D/3D) to improve training of object detection models· Accelerated training by almost 20% using Fully-Fused MLPs to train a custom retail product dataset of around 140 images· Obtained a validation PSNR of 25.96 dB in training a Neural Radiance Field (NeRF), deviating by just 0.6 dB.

Seattle, Washington, United States

· Developed the largest public vision-language histopathology dataset, comprising approximately 1, 000, 000 image-text pairs· Fine-tuned a pre-trained CLIP model (QuiltNet) on zero-shot classification across 12 datasets, achieving an improvement of 10% in accuracy· With our LMM, QuiltNet, we obtained around a 5% improvement on 4 datasets in linear probing.

Seattle, Washington, United States

· Developed a system incorporating an IWR6843 chip and bioradio sensor pod for non-invasive physiological sensing· Mastered the hardware setup and data collection process, optimizing transmission parameters for enhanced data reliability

Spectrum Lab

• Worked on optimizing the performance of GANs as a precusor to which Wasserstein Generative Adversarial Networks (WGAN) were implemented for 1D and 2D Gaussian Target Distributions whilst analyzing snakes using gradient.
• Represented the electrical department and bagged the silver medal in the Inter-departmental table tennis competition (Spectrum '22)

Mangaluru, Karnataka, India

I am a part of the special interest group - CHARGE that caters to the field of electronics. There were various workshops and Knowledge Exchange Programs organized in order to teach juniors about interesting topics in the fields of analog and digital electronics along with embedded systems.

Peter L. Reichertz Institute For Medical Informatics

· Performed Blood Pressure estimation from photoplethysmogram (PPG) signals taken from the M IM IC − III waveform dataset· Devised a spectro-temporal Deep Neural Network and attained near perfect correlation (R ≈ 0.95) between BP with PPG signals· Boosted R value between BP and PPG by 0.15, capitalizing on frequency information of PPG and its derivatives.

Centre For Computational Imaging

Video Magnification was applied to ultrasound images of the Common Carotid Artery to analyse subtle motion present. The novel technique of enhancing oscillations and estimating the displacements along with grid distortion and subsequent interpolation was carried out. Various image processing techniques were also utilised. This project was guided by Dr..

Spectrum Lab

In this internship, various mathematical models that predict the spread of infection of the COVID-19 were studied and implemented. The critical parameters of the model in the governing differential equations were changed to see how sensitive the model was to these parameters. Subsequently, the influence of certain factors such as social distancing and.

Master Of Science - Ms, Electrical Engineering, 3.88/4

Specialization: Machine Learning and Computer Vision Advised by Dr. Linda Shapiro

Bachelor Of Technology - Btech, Major In Electrical And Electronics Engineering With Minor In Computer Science And Engineering, 9.71/10 | Class Rank : 2/108

Activities and Societies: Member of the Table Tennis team, SPICMACAY NITK and ISTE NITK 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 Computer Vision, Control Theory.

Senior Secondary-Cbse, Pcm With Computer Science

Primary And Secondary- Cbse

Activities and Societies: Cyber Club, Music Club, Sports Club, House Captain