Aditya Yogish Pai

Frontend Developer

https://talent.gravityer.com/aditya-yogish-pai

Mangalore, Karnataka, IndiaMember since June 16, 2026

Key Strengths

Demonstrated proficiency in Python for various computer vision and utility applications.
Experience with OpenCV for image processing and object detection tasks.
Practical application of machine learning concepts like Haar Cascades and OCR.
Ability to build simple user interfaces using Tkinter.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on Python and computer vision, which does not align with a 'Frontend Developer' target role. The project diversity is limited to a specific technical domain, indicating a potential mismatch for a general frontend position. There is no evidence of collaboration or team-oriented projects.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily individual technical implementations.

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Projects

Stack_Overflow_Parser

December 28, 2019 – December 28, 2019

Stack_Overflow_Parser — GitHub repository

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Flask-Pdf-Splitter-

June 7, 2019 – August 10, 2019

Build and deploy a python flask application to split pdfs

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CamScanner-In-Python

January 6, 2019 – September 5, 2020

Build your own document scanner with OpenCV Python

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Extract-Links-from-Images

December 23, 2018 – December 23, 2018

Using OCR and pytesseract to extract links from images in Python

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UI-For-Vehicle-and-Pedestrian-Detection-

December 7, 2018 – December 7, 2018

Simple UI using tkinter

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Youtube-Video-Downloader

November 19, 2018 – October 1, 2020

Youtube-Video-Downloader — GitHub repository

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Colour-Segmentation-in-OpenCV

June 24, 2018 – November 17, 2018

Using HSV range to track a red object from a camera mounted on a quad rotor.

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Leaf-Detection

June 4, 2018 – June 4, 2018

A simple banana leaf detector using Haar Cascades and OpenCV-Python

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Detection-of-Terror-Elements-Online-Using-Object-Detection

March 24, 2018 – March 24, 2018

Object recognition along with a simple tkinter ui to recognize and report terror elements

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Vehicle-And-Pedestrian-Detection-Using-Haar-Cascades

December 17, 2017 – February 15, 2021

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

View Project

Key Strengths

Demonstrated proficiency in Python for various computer vision and utility applications.
Experience with OpenCV for image processing and object detection tasks.
Practical application of machine learning concepts like Haar Cascades and OCR.
Ability to build simple user interfaces using Tkinter.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily individual technical implementations.

Aditya Yogish Pai

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit