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Software Engineer @ Hakimo. IIT Madras 18.'
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hakimo.ai
Data Scientist
June 16, 2026 – Present
mixmatch-pytorch
May 10, 2019 – May 30, 2019
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
View Projectkervolution-pytorch
May 5, 2019 – June 3, 2019
Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.03955.pdf)
View Projectlocal-relational-nets
April 28, 2019 – December 6, 2021
A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)
View Projectattention-augmented-conv
April 23, 2019 – May 5, 2019
Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)
View Projectoctaveconv-pytorch
April 16, 2019 – April 18, 2019
Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution in Pytorch (https://arxiv.org/abs/1904.05049)
View Projectcustom-pooling
April 12, 2019 – April 12, 2019
A few unconventional pooling layers implemented in Pytorch Or Tensorflow
View Projecttf-to-yolo
February 19, 2019 – August 11, 2022
Convert tfrecords to Darknet YOLO data format.
View Projectdropblock
November 6, 2018 – June 25, 2020
Pytorch implementation of DropBlock: A regularization method for convolutional networks (https://arxiv.org/abs/1810.12890v1)
View Projectrevrnn
December 6, 2017 – December 6, 2017
Reversible Recurrent Neural Network Pytorch Implementation
View ProjectCultural Fit Analysis
The candidate's project history is heavily focused on replicating academic deep learning papers, indicating a strong interest in research and development within the AI/ML domain. The current role as a Data Scientist at hakimo.ai aligns with the target role. However, the lack of diverse project types (e.g., deployment, MLOps, data engineering, business impact analysis) suggests a potentially narrow focus, which might impact cultural fit in roles requiring broader data science responsibilities or cross-functional collaboration beyond pure model implementation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.