Computer Engineering Student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Jamia Millia Islamia
Engineering Student
June 13, 2026 – Present
MedicalImageCaption
April 25, 2024 – May 4, 2024
Generating caption from medical image like xray
View ProjectVideoFramePrediction
October 7, 2022 – March 11, 2023
Video Frame Prediction using deep learning
View ProjectD-SRGAN
September 12, 2022 – September 13, 2022
Implementation of D-SRGAN (Digital elevation map specific SRGAN for super resolution) in Pytorch.
View ProjectWeb-application-for-DEM-Super-Resolution
August 24, 2022 – September 12, 2022
Web Application for super resolution of Depth elevation map (DEM) using python framework flask for backend.
View ProjectEmbryoMask
August 9, 2022 – September 13, 2022
Creating mask for morula images for extracting region of interest through image segmentation using unet model in pytorch.
View ProjectSketchToFace
June 14, 2022 – September 12, 2022
SandBox tuning project to generate new fake data deceptively from real data
View ProjectEyeGazing
June 6, 2022 – September 13, 2022
Detection of line of sight of pupil (eye gazing) using deep neural networks in tensorflow
View ProjectMachine_Learning
November 13, 2021 – February 24, 2022
This repository contains Deep Learning assignment from the deep learning specialisation course on Coursera taught by Andrew Ng
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in cutting-edge AI/ML research and application, which could align well with an innovative and research-driven culture. However, the projects are all personal and academic, limiting insight into collaborative work or broader professional cultural fit. The target role 'Engineering Student' is broad, but the projects suggest a fit for roles focused on AI/ML development or research.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate is an engineering student with no professional experience beyond their current enrollment.