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MakeMyTrip
Data Scientist
June 25, 2026 – Present
medium-ai
May 2, 2023 – May 28, 2023
An open-source, AI-powered text editor inspired by medium.com.
View ProjectStereo-Geometry
May 29, 2022 – September 5, 2022
A comprehensive tutorial on Stereo Geometry and Stereo Rectification
View Projectdeep-autocomplete
March 16, 2022 – March 18, 2022
Deep Learning based autocomplete for search bars
View ProjectImage-formation-and-camera-calibration
January 26, 2022 – August 20, 2022
A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example
View Projectpytorch-tutorials
May 7, 2021 – October 30, 2022
My notes, experiments, and implementations from learning pytorch from various resources.
View ProjectDistributed-Multi-Video-Streaming-and-Processing-with-Kafka
September 21, 2020 – September 25, 2020
Stream and process multiple videos in near real time using Kafka. The video frames are processed and a machine learning model does inference on them and the results are stored in a mongodb database.
View ProjectIdentify-Specific-Objects-in-an-Image-or-Video-using-machine-learning-in-the-browser
June 13, 2020 – June 13, 2020
This application uses Tensorflow.js to serve a mobilenet SSD image classification model in the browser which is used to crop (using cropper.js) and identify specific objects in an image or a video.
View ProjectTensorflow-2-Object-Detection-API-Flask-Application
April 4, 2020 – January 17, 2021
In this application we build an API endpoint for the Tensorflow Object Detection API and deploy it on Google Kubernetes Engine. The user hits the endpoint with image data and gets a response which consists of detections with scores, image data with overlay, image size (can be customized).
View ProjectData-Structures-and-Algorithms-in-Python
April 9, 2019 – February 16, 2021
This repo includes implementations of various Data Structures and Algorithms like DFS, BFS, Binary Trees, Stacks, Queues, Linked List, Graphs, Dynamic Programming etc in Python
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, open-source contributions, which can indicate a passion for technology and continuous learning. The projects align well with a Data Scientist role, particularly in areas of machine learning, computer vision, and data processing. However, the lack of team-based or collaborative projects in the provided data makes it difficult to fully assess cultural fit in a team-oriented corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed learning approach. The variety of projects suggests an ability to tackle diverse technical challenges. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.