B.Tech CSE · AI Specialization · GBU

Sakshi
Singh

Building intelligent systems at the intersection of machine learning, software engineering, and human-centred design.

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AI ML Models Dev Systems DS Analysis UX Design

Who I Am

About Me

Sakshi Singh
9.13
CGPA

I'm a third-year Computer Science student at Gautam Buddha University, specialising in Artificial Intelligence. My work sits at the crossroads of machine learning and practical software engineering. I enjoy turning complex models into products that genuinely help people.

Currently in Semester 5 of my B.Tech, I've been exploring everything from quantum computing and embedded systems to building full-stack AI applications. Outside academics, I'm drawn to wellness-tech and products that make a difference in everyday life.

Degree

B.Tech CSE — AI

University

Gautam Buddha University

Batch

2024 – 2028

Location

Greater Noida, India

What I've Built

Projects

NLP · Recommendation · LLM

AI Book Recommendation Chatbot

A conversational chatbot that understands a reader's mood, genre preferences, and past reads to surface personalised book suggestions. Built on an LLM backbone with a retrieval layer over curated book metadata.

Python NLP LLM API FastAPI React
⌥ GitHub ↗ Live Demo
ML · Anomaly Detection · FinTech

Fraud Detection System

An end-to-end fraud detection pipeline for financial transactions, combining feature engineering on imbalanced data with gradient-boosted classifiers and a real-time scoring API. Emphasis on high recall with interpretable alerts.

Python Scikit-learn NumPyPandas EDA PlotsStreamlit
⌥ GitHub ↗ Live Demo
Full Stack · Django · E-Commerce

FullStack E-Commerce Platform

A production-ready full-stack e-commerce web application built with Django, featuring secure user authentication, product catalog management, shopping cart, wishlist, Razorpay payment integration, order management, and a responsive shopping experience. Deployed with Cloudinary for media storage and Vercel for hosting.

Django Python SQLite Razorpay Cloudinary
⌥ GitHub ↗ Live Demo
AI · NLP · Resume Analysis

AI Resume Analyzer

An AI-powered resume analysis platform that evaluates resumes against job descriptions using Natural Language Processing. The application extracts key skills, calculates ATS compatibility, identifies missing keywords, and provides personalized recommendations to help users optimize their resumes for recruitment systems.

Python FastAPI NLP
⌥ GitHub ↗ Live Demo

Toolkit

Skills

Machine Learning & AI

Python & ML Libraries88%
Deep Learning (TensorFlow / PyTorch)75%
Natural Language Processing78%
Data Analysis & Visualisation82%

Development

JavaScript / React74%
REST APIs (FastAPI / Express)80%
SQL & NoSQL Databases70%
Git & GitHub85%

CS Fundamentals

Algorithms & Data Structures85%
Operating Systems78%
Computer Networks76%

Specialised

Quantum Computing (Qiskit)65%
Embedded Systems68%
Linux / Shell Scripting72%

Background

Experience

2025

Machine Learning Intern

IBM — Virtual Internship

Completed a virtual machine learning internship with IBM, working on supervised learning models, data preprocessing pipelines, and ML deployment fundamentals using industry-standard tools and IBM's AI ecosystem.

Aug 2024 – Present

B.Tech CSE — AI Specialization, Semester 4

Gautam Buddha University, Greater Noida

Coursework spanning Quantum Computing, Embedded Systems, Operating Systems, Computer Networks, Design & Analysis of Algorithms, and core AI/ML subjects. CGPA: 9.6 (last semester).

Credentials

Certifications

IBM

Machine Learning with Python

2025

View Credential →
IBM

Python

2025

View Credential →
IBM

Build RAG Applications: Get Started

July 2026

View Credential →

Let's Connect

Get In Touch

Open to collaborations, internships, and interesting ideas.

sakshitanwar2006@gmail.com GitHub LinkedIn