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Sneha Jindal

@snehajindal

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Final-year computer engineering student building AI-driven computer vision and web applications.

India

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What I'm looking for

I’m looking for an entry-level role where I can apply ML/NLP and computer vision to real products, build clean full-stack interfaces, and grow through mentorship and measurable impact.

I’m a final year computer engineering student with hands-on experience in computer vision, machine learning, NLP, and full-stack web development. I’ve built AI-powered tools and image-processing systems designed for measurable results.

My standout project work includes an “AI powered Resume Analyzer” and an “Invisible & Robust Watermarking System” using DWT, SVD, and CNN-based techniques. I focus on practical performance—e.g., achieving PSNR > 38 dB across 200+ test images and validating robustness using PSNR, SSIM, and BER.

On the engineering side, I’m comfortable working across the stack: Python, C++, and SQL for core logic; and modern web technologies for delivery. I’ve also built a responsive web interface to visualize screening results and automated candidate profile analysis using NLP-based similarity.

I enjoy turning complex requirements into usable products, whether it’s a peer-to-peer e-commerce platform with authentication, search, and shopping cart features, or a custom Unix shell in C. I value collaboration, clean implementation, and project scoring/ML classification that supports real decision-making.

Experience

Work history, roles, and key accomplishments

Buy-Sell E-Commerce Platform

Thapar Institute of Engineering & Technology

Aug 2024 - Oct 2024 (2 months)

Created a peer-to-peer e-commerce platform with user authentication and product listing, delivering an intuitive mobile-responsive interface for transactions.

React JavaScript HTML CSS Authentication Responsive UI Peer to Peer Transactions

Robust Watermarking System

Thapar Institute of Engineering & Technology

May 2024 - Jul 2024 (2 months)

Developed a robust watermarking system using DWT + SVD with a web interface for image upload and watermark verification; evaluated performance using PSNR, SSIM, and BER.

Watermarking PSNR SSIM BER

Finance Tracker (Flask)

Thapar Institute of Engineering & Technology

Feb 2024 - Apr 2024 (2 months)

Built a full-stack personal finance tracker with a Flask backend, managing user financial data via SQLAlchemy + SQLite and generating monthly budgeting reports with spending trend visualizations.

Flask Python SQLAlchemy SQLite Budgeting Data Visualization Full Stack Web Development SQL

Financial Statement & Cash Flow

Thapar Institute of Engineering & Technology

Jan 2024 - Mar 2024 (2 months)

Analyzed cash flow statements for 10 global SaaS companies using FY2024 10-Ks and identified growth-stage vs self-sustaining business models; interpreted operating cash flow trends to assess operational sustainability and investment strategy (Bitcoin-driven capital structure).

Financial Statement Analysis Cash Flow Analysis Python SQL Excel Comparative Analysis Financial Modeling Operating Cash Flow

Volunteer Member

AIESEC

Mar 2024 - Present (2 years 3 months)

Built invisible image watermarking using DWT & SVD with a CNN-based decoder, achieving PSNR >38 dB across 200+ test images. Developed a web interface for embedding/verification and assessed robustness using PSNR, SSIM, and BER metrics while coordinating events and member engagement activities.

Python CNN Based Decoding OpenCV TensorFlow PSNR SSIM BER

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering & Technology (TIET)

Bachelor of Engineering, Computer Engineering

2023 -

Bachelor of Engineering in Computer Engineering at TIET. Final-year student with experience across computer vision, machine learning, NLP, and full-stack development.