Undergraduate Electrical Engineer at Delhi Technological University
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
semantic-arxiv-search
July 30, 2025 – August 2, 2025
End-to-end ArXiv searcher using MiniLM-L6, ChromaDB and Streamlit app
View Projectnn-cnn-comparison
April 23, 2025 – April 24, 2025
Compare traditional Neural Net and Convolutional Neural Net on FashionMNIST database
View Projectpytorch-mnist-net
April 16, 2025 – April 20, 2025
Recognize handdrawn digits using PyTorch neural network and Tkinter GUI
View Projectpytorch-batching
April 14, 2025 – April 14, 2025
Comparing manual (fixed size) batching and DataLoader batching
View Projectpytorch-neural-net
April 11, 2025 – April 11, 2025
Simple neural network on artificial dataset
View Projectskl-pipeline
April 7, 2025 – April 9, 2025
Configurable pipeline that trains, tests and evaluates
View Projectml-models-comparison
April 2, 2025 – April 4, 2025
Train various Scikit Learn ML Models on one dataset, then compare their performance
View Projectscikit-models
March 28, 2025 – April 1, 2025
Implementation of Scikit Learn models for learning purposes
View Projectoptimized-fibonacci
March 22, 2025 – March 27, 2025
Various Fibonnaci number finders of different time and space complexities
View Projectyt-downloader
August 25, 2024 – March 19, 2025
Uses Pytube-fix to implement a full YT Video downloader with a simple GUI
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on machine learning and data science, primarily using Python. While this demonstrates initiative and a strong interest in a specific technical domain, there is limited diversity in technologies or project types that would directly align with a general 'Backend Engineer' role without a strong ML/AI component. The absence of team projects or open-source contributions makes it difficult to assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and do not provide insights into collaboration, problem-solving under pressure, or communication in a team setting.