AI & Computer Vision Engineer | Future AI Laboratory VISION Team | Agrolabs | Robotics Enthusiast | Computer Vision | Deep Learning
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Miko Robotics
Computer Vision Engineer
June 12, 2026 – Present
SSD-Custom-Object-Detection-Using-Pytorch
October 29, 2021 – November 4, 2021
Implement SSD300 for Object Detection using Pytorch
View ProjectProduct-Matching-with-Shelf-images-using-Yolov4-following-product-recognition-using-Resnet50v2
October 22, 2021 – October 22, 2021
Matching givewn product in the shelf
View ProjectAttention-based-Rice-Leaf-Disease-Classification-Model
July 23, 2021 – August 6, 2021
Rice Leaf Disease Classification using Convolution Bottleneck Attention Model
View ProjectGrocery-Object-Detector-for-FMCG-using-Scaled-YOLOv4-P5
June 5, 2021 – October 25, 2021
Object Detector to detect the products present on the shelf for FMCG (Fast-Moving Consumer Goods)
View ProjectFace-Recognition-pipeline-using-SOTA-ArcFace
May 28, 2021 – October 25, 2021
Face Recognition pipeline using SOTA ArcFace using Pytorch
View ProjectAnomaly-Detection-Using-LSTM-Autoencoder
December 31, 2020 – February 16, 2021
LSTM autoencoder based anomaly detection using Keras and Tensorflow backend
View ProjectPAN-card-credential-extraction-using-AZURE-Cognitive-Services-OCR
November 28, 2020 – November 29, 2020
Extracting PAN card extraction using OCR with the help of Microsoft Azure Cognitive services computer vision library and OCR functionality, and implementing this using Flask based development web-api
View ProjectReal-Time-Face-Recognition-Using-Siamese-Network-with-Triplet-Loss-in-Keras
September 23, 2020 – November 19, 2020
Real-Time-Face-Recognition-Using-Siamese-Network-with-Triplet-Loss-in-Keras
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on Computer Vision, which aligns well with the target role. However, the lack of diverse project types (e.g., team projects, open-source contributions, projects outside core CV) and limited information on collaboration or communication skills makes a comprehensive cultural fit assessment challenging. The experience level is listed as 0, despite having a current role, which is a discrepancy.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.