Interested in Deep Learning || GSoC'25 @Unicode || GSoC '24 @NumFOCUS || Computer Engineering @VJTI
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Ideaforge
Data Scientist
June 12, 2026 – Present
NeuroRecovery
November 5, 2024 – November 11, 2024
NeuroRecovery is a cloud-based platform that uses machine learning to provide personalized cognitive rehabilitation for patients recovering from neurological disorders. It offers remote monitoring, adaptive difficulty through real-time EEG analysis, and progress tracking via Vultr’s scalable infrastructure.
View ProjectMLOps-Project-GSoC
July 28, 2024 – August 10, 2024
MLOps-Project-GSoC — GitHub repository
View Projectpg-dissertation-management
September 9, 2023 – December 29, 2023
pg-dissertation-management — GitHub repository
View ProjectIMAGE-INPAINTING
September 5, 2023 – November 27, 2023
IMAGE-INPAINTING — GitHub repository
View ProjectObscene_Detectment
April 12, 2023 – April 13, 2023
Obscene_Detectment — GitHub repository
View ProjectHostel-Management-Portal
January 14, 2023 – July 28, 2023
Hostel-Management-Portal — GitHub repository
View ProjectImage_Pipeline
August 17, 2022 – August 25, 2023
The image pipeline takes raw image from sensor and convert it to meaningful image. Several algorithms like debayering, Black Level correction, auto-white balance, denoising.. will be first implemented to construct a meaningful image. Then additional algorithms can be implemented on the constructed image to post-process it. Like Flipping, blending and overlaying images. All algorithms will be implemented on a static raw image captured from a sensor. The first part of this project is similar to what happens in an ISP (Image Signal Processor) in which all algorithms are designed based on hardware, but we will be designing those such that they are hardware independent.
View Projectml-confusables-generator
May 13, 2020 – July 16, 2025
Generates confusables for Han script using ML techniques
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards machine learning and data science, which aligns with a Data Scientist role. However, the projects are all personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit. The experience level is listed as 0, despite a current Data Scientist role, which creates an inconsistency.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.