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Amazon
iOS Developer
June 19, 2026 – Present
SuperGlue_training
April 9, 2021 – May 17, 2021
This repository contains the training code for SuperGlue. Uses COCO dataset by generating random homographies.
View Projectpytorch_training_template
April 7, 2021 – April 12, 2021
Contains template for quickly setting up any training pipeline in pytorch without rewriting boilerplate code.
View Projectfacemesh_coreml_tf
June 14, 2020 – April 27, 2022
This repository contains the code for converting tflite model of Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs and Blazeface to tensorflow and coreml.
View Projectcoreml_conversion_hub
June 7, 2020 – June 25, 2020
This repo provides scripts for converting tensorflow and pytorch models to coreml for variety of tasks. Converted models like efficientDet, mobilenetV3, efficientNet in coreml format is also provided
View Projectsentiment_classification
December 17, 2018 – December 23, 2018
Tree LSTM network for sentiment classification
View Projectdeep_cricket
December 12, 2018 – December 20, 2018
Sequence model for cricket shot classification
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards Python and machine learning, with only two projects directly related to iOS development ('AiBench_source', 'AiBench_IOS'). While the current role is iOS Developer, the personal projects suggest a strong interest in ML/AI, which may or may not align with the specific cultural and technical needs of a pure iOS development role. The diversity of projects is good, but the alignment with the target role's core technical requirements is moderate.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.