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Undergraduate Electrical Engineer at Delhi Technological University
AI is analyzing your overall score…
Identifying your key strengths…
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.