AI Engineer II, ConveGenius
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Jaypee Institute of Information Technology
Data Scientist
June 16, 2026 – Present
Flask_TaskList
October 13, 2024 – October 13, 2024
Flask app development of creating an app for maintaining a task list.
View ProjectMutual-Fund-NAV-Fetcher
January 21, 2024 – January 21, 2024
Mutual-Fund-NAV-Fetcher — GitHub repository
View ProjectSpam-Email-Detection-using-MultinomialNB
October 29, 2023 – October 31, 2023
The app takes email input in text format from the user and accurately classifies it either as spam or ham (not spam) with an overall accuracy of 95%. You can access the app using the link below.
View ProjectUdacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
October 10, 2023 – October 10, 2023
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
View ProjectAI-ML-Assignment-3---Translation-Assignment
September 1, 2023 – September 1, 2023
AI-ML-Assignment-3---Translation-Assignment — GitHub repository
View ProjectLandmark-Image-Recognition-App
August 30, 2023 – September 2, 2023
The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.
View ProjectHandwritten-Digit-Classifier-using-PyTorch
July 11, 2023 – July 11, 2023
Handwritten-Digit-Classifier-using-PyTorch — GitHub repository
View ProjectAbstractive-Text-Summarization
March 13, 2023 – June 1, 2023
Abstractive text summarization generates a shorter version of a given sentence while attempting to preserve its contextual meaning. In our approach we model the problem using an attentional encoder decoder which ensures that the decoder focuses on the appropriate input words at each step of our generation.
View ProjectCultural Fit Analysis
The candidate's projects show a focus on individual learning and development, with a strong emphasis on personal projects. The single listed work experience is current and starts in the future (2026), indicating a potential data entry error or a planned future role. This makes it difficult to assess cultural fit based on past team collaboration or professional environment exposure. The project diversity is good within the ML/Data Science domain, but there's limited evidence of broader industry exposure or collaborative work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric test results available.