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NeuralaceCo
Data Scientist
June 19, 2026 – Present
distill-superres
October 5, 2020 – April 30, 2021
fork of EDSR based repo to do knowledge distillation experiments for super resolution
View Projectsuperres-deformable
September 2, 2020 – April 30, 2021
Deformable kernels for super-resolution
View Projecthyperspectral-reconstruction
April 6, 2020 – May 17, 2020
Reconstructing 31 band hyperspectral imagery from 3 band RGB input
View ProjectActive-Learning-Framework
November 19, 2019 – November 25, 2019
Active-Learning-Framework — GitHub repository
View ProjectJava-ML
November 18, 2019 – November 18, 2019
Neural network implementation in pure Java (no third-party libraries used)
View ProjectLookahead
November 13, 2019 – April 18, 2020
This project compares Geoffrey Hinton's new Lookahead optimizer with other conventional optimizers like AdamW, SGD, RMSProp, etc. This is a work in progress
View Projectdrought-watch
September 11, 2019 – September 11, 2019
A deep learning classification model to predict drought using satellite imagery.
View Projectcustom-fastai-callbacks
June 6, 2019 – June 18, 2019
Custom Callbacks to extend the Fastai library's functionality
View ProjectResnet-multichannel
February 24, 2019 – October 6, 2019
Helper class to create Pretrained Resnet models that can take in an arbitary number of channels as input.
View Projectclassification_oversampling
January 29, 2019 – October 6, 2019
Utility package to help in oversampling images in Image Classification tasks
View ProjectCultural Fit Analysis
The candidate's profile shows a strong inclination towards personal projects and deep technical exploration, which could indicate a self-starter and highly motivated individual. However, the lack of team-based project descriptions or contributions makes it difficult to assess collaboration style or fit within a structured team environment. The current role as 'Data Scientist' at NeuralaceCo is a good alignment with the target role, but details of responsibilities are missing.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.