Repello AI | ML Enginner | Breaking and Building Stuff
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Adversarial-Audio-Attack
April 14, 2025 – April 15, 2025
Adversarial-Audio-Attack — GitHub repository
View ProjectNoisyTwins
March 21, 2023 – April 8, 2024
[CVPR 2023] Source code for NoisyTwins: Class-consistent and Diverse Image Generation Through StyleGANs
View ProjectAdaMomentum-Optimizer-Experiments
November 30, 2021 – December 7, 2021
Unofficial Implementation of AdaMomentum Optimizer and cross verifies the results given in paper on vision datasets.
View ProjectDeepLab_NWPU-VHR-10_Dataset_coco
November 16, 2021 – November 16, 2021
DeepLab_NWPU-VHR-10_Dataset_coco — GitHub repository
View ProjectAutomatic-Number-Plate-Recognition
June 3, 2021 – June 3, 2021
Automatic-Number-Plate-Recognition — GitHub repository
View ProjectMLP-Mixer-PyTorch
May 19, 2021 – July 7, 2021
An all MLP architecture for Computer Vision by Google (Paper Implementation)
View ProjectAutomatic-Number-Plate-Recognition
April 23, 2021 – May 6, 2021
Detecting Vehicle Registration Number from License Plate images using openCV & CNNs
View ProjectTraffic_Sign_Recog_Inter_IIT
March 6, 2021 – March 27, 2021
Traffic_Sign_Recog_Inter_IIT — GitHub repository
View ProjectAR-Sudoku-Solver-Pytorch-OpenCV
January 13, 2021 – May 16, 2021
An augmented Reality-based Sudoku-Solver using OpenCV and deep learning model trained on PyTorch.
View ProjectMedicDiary
August 7, 2020 – June 18, 2021
A digital medical record management system in django between a doctor and patient. Also provide user-friendly interface and detailed database of various diseases.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest and self-driven learning in advanced AI/ML topics, which aligns well with an innovative and research-oriented culture. The diversity of projects, from image generation to medical record systems, indicates adaptability and a broad technical curiosity. However, without team-based project experience or psychometric data, assessing collaboration and work attitude for cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.