A Deep Learning Engineer with hands‐on experience in Deep Learning and Computer Vision techniques. A personable, communicative developer with Intermediate skil
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Ignitarium Technology Solutions
Data Scientist
June 18, 2026 – Present
LIVENET-WACV-2024
October 25, 2023 – December 20, 2023
Source code of " LIVENet: A novel network for real-world low-light image denoising and enhancement", published in WACV 2024
View Projectimplementation_of_RCNN
June 22, 2020 – July 6, 2020
We implement RCNN algorithm for object detection from an Images.
View ProjectGlobal-Wheat-Detection
May 19, 2020 – July 16, 2020
Kaggle competition of wheat head detection from images.
View ProjectCrop_and_weed_detection
April 4, 2020 – July 6, 2023
we made the crop and weed detection model using YOLOV3 on agricultural image data.
View ProjectDeep-Learning-for-Computer-Vision-with-Python-Starter-Bundle
December 16, 2019 – December 16, 2019
Deep-Learning-for-Computer-Vision-with-Python-Starter-Bundle — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on Computer Vision and Deep Learning, which aligns well with a Data Scientist role, especially one with a focus on image data. However, the project descriptions are very brief, and there is no information on collaboration or team dynamics. The experience section shows a current Data Scientist role, but without details on responsibilities or achievements, it's hard to fully assess cultural fit beyond technical alignment. The breadth of skills outside of computer vision (e.g., data engineering, MLOps, statistical modeling) is not evident from the provided projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.