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AI Engineer
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MOAI
Data Scientist
June 16, 2026 – Present
Kaggle-cat-vs-dog-classifier
October 15, 2019 – October 15, 2019
compute a microsoft cat and classifier model building from kaggle datasets using keras.
View ProjectMicrosoft-Cat-VS-Dog-Classifier
October 15, 2019 – October 15, 2019
build a classifying model for predicting cat and dog using kaggle datasets.
View ProjectStudent-Vision-Identification
October 15, 2019 – October 15, 2019
Creating an Attendance system using barcode for footfall and student identification in different college using a computer vision(OpenCV) Object Detection.
View ProjectVision-Alarm-System
October 15, 2019 – October 15, 2019
it's called SAE alarm system which contains frame miss behaving feature. when person enters surveillance area the system automatically generates sound and capture attack details.
View ProjectFull-Face-Classifier
October 15, 2019 – October 15, 2019
classify all face objects like hair, face, nose, eyes, mouth, smile, head and shoulders etc. using a computer vision haar classifier.
View Projectvision-surveillance-system
October 15, 2019 – October 15, 2019
Its a vision camera surveillance system with motion detection feature, object recognition, missing object analysis using computer vision (OpenCV). when a person enters the surveillance area then cameras automatically start recording and save it to the database. the system identified the moving object using object recognition.
View ProjectFootfall-counting
September 27, 2019 – September 27, 2019
application which differentiates gender male or female and age classification where all programming is done by python programming language. the application generated CSV output file which contains the incoming and outcoming time, gender, age, id, and photo.
View ProjectMOAI
February 22, 2018 – October 15, 2019
MOAI operating system with artificial intelligence and computer vision
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on computer vision and AI, which aligns with a Data Scientist role. The diversity of projects, while all personal, indicates a proactive learning approach. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit.
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 for evaluation.