Software Engineer @ Amazon | A machine learning enthusiast | Open Source Contributor
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Meta-Marketing
Data Scientist
June 17, 2026 – Present
aws
Data Scientist
June 17, 2026 – Present
amzn
Data Scientist
June 17, 2026 – Present
2xcell-landing-page
August 5, 2021 – August 5, 2021
2xcell-landing-page — GitHub repository
View Projectfarm-health-backend
May 6, 2021 – May 13, 2021
Flask backend for rice leaf disease detection and localization using deep learning
View ProjectCOVID_Seg
May 9, 2020 – May 9, 2020
A deep learning approach to fight COVID virus. This model uses CNN with transfer learning to detect if a person is infected with COVID by looking at the lung X-Ray and further it segments the infected region of lungs producing a mask using U-Net
View ProjectJIIT-Attendance-API
January 23, 2020 – December 8, 2022
An API to parse attendance from JIIT webkiosk. This API can be used cross platform for the development of UIs for students to visualize their attendances.
View ProjectSky-Region-Segmentation
January 10, 2020 – January 10, 2020
Segmenting sky regions in an image using U-Net
View ProjectWeb-Assistor
September 26, 2019 – September 26, 2019
An AI based application to render HTML / Bootstrap code for design mockups using tensorflow and keras
View ProjectMusic-Genre-Classification
July 8, 2019 – July 10, 2019
A tensorflow application of CNN based music genre classifier which classifies an audio clip based on it's Mel Spectrogram and a RestAPI for inference using tensorflow serving
View ProjectUltrasound-Nerve-Segmentation
June 14, 2019 – June 19, 2019
Segmenting the ultrasound images to find nerve structures in them using a U-net
View ProjectCaption-It
June 7, 2019 – November 22, 2022
Automatically caption an image based on the subject of the image using a Gated Recurrent Unit - RNN combined with a CNN encoder and an Attention analyzer
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards independent, research-oriented deep learning projects. While this demonstrates initiative and technical depth, the lack of team-based projects or contributions to larger open-source initiatives makes it difficult to assess cultural fit for collaborative environments. The listed experience entries appear to be placeholders for future roles, making it impossible to evaluate past professional cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.