Amit Sharma | AI & ML Developer

Available for Fresher Roles

AMIT

SHARMA

AI & ML Dev × Full Stack Eng × B.Tech CSE (AI & ML) Graduate

B.Tech CSE (AI & ML) graduate building intelligent, full-stack applications. Achieved 96%+ accuracy on a cyberbullying detection model and shipped production projects spanning ARIMA forecasting, FastAPI backends, and Claude AI integrations.

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Internships

Projects

Certs

96%

Best Acc.

ML Intern @ Vaidsys

4 Projects Built

FastAPI + React

Amit Sharma

Ghaziabad, U.P. · AKGEC

Python FastAPI React.js ML/AI ARIMA

sharmaamit55174@gmail.com +91 87955 46788 linkedin.com/in/amit-sharma174 github.com/amit171ku

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About Me

Who I Am

I'm a B.Tech CSE (AI & ML) graduate from Ajay Kumar Garg Engineering College, Ghaziabad, with hands-on experience in machine learning, NLP, and full-stack development. I achieved 96%+ accuracy on a cyberbullying detection model using TF-IDF and Logistic Regression.

I've completed two industry internships — one in Machine Learning at Vaidsys Technologies and one in Frontend Development at Edunet Foundation (AICTE-IBM SkillsBuild). I enjoy working across the full stack, from designing React frontends to training ARIMA forecasting models and integrating AI APIs.

I believe in writing clean code, shipping working products, and always learning something new — whether that's a new Python library, a backend framework, or a better way to design a database schema. Currently seeking entry-level roles in AI/ML or Software Development.

Location: Ghaziabad, Uttar Pradesh

Degree: B.Tech CSE (AI & ML), 2023–2026

Status: Open to Entry-Level / Fresher roles

Focus: Full Stack + AI/ML Development

Education

Ajay Kumar Garg Engineering College

B.Tech CSE (AI & ML)

2023 – 2026

Coursework

Machine Learning & Deep Learning
Natural Language Processing
Data Structures & Algorithms
DBMS & Operating Systems
OOP & Software Engineering

Technical Skills

What I Work With

Tools and technologies I've genuinely used in projects and internships.

Languages

🐍Python

⚡JavaScript

🗄️SQL

⚙️C++

Frontend & Backend

⚛️React.js

🎨TailwindCSS

🌐HTML/CSS

🚀FastAPI

🟩Node.js

🔧Express.js

🔐JWT / Auth

🔗REST APIs

ML / AI

🔬Scikit-learn

🔥PyTorch

📊ARIMA

🗣️NLTK / NLP

🐼Pandas

🔢NumPy

Databases & Tools

🪶SQLite

🍃MongoDB

🐬MySQL

⚡Git / GitHub

🌐Vercel

🖥️VS Code

📮Postman

Languages

🐍 Python ⚡ JavaScript 🗄️ SQL ⚙️ C++

Frontend & Backend

⚛️ React.js 🎨 Tailwind 🚀 FastAPI 🟩 Node.js 🔧 Express 🔐 JWT Auth 🔗 REST APIs

ML / AI

🔬 Scikit-learn 🔥 PyTorch 📊 ARIMA 🗣️ NLTK/NLP 🐼 Pandas 🔢 NumPy

Databases & Tools

🍃 MongoDB 🐬 MySQL 🪶 SQLite ⚡ Git 📮 Postman

Experience

Internships

Real-world experience gained through industry internships.

Machine Learning Intern

Vaidsys Technologies

✓ Completed

June 2025 – July 2025 · Remote

Developed and evaluated supervised learning models on real-world datasets using Scikit-learn; applied feature engineering and cross-validation to optimise model performance across multiple architectures.
Built end-to-end ML pipelines including data preprocessing, hyperparameter tuning, and benchmarking — applied NLP techniques (tokenisation, TF-IDF) for text classification tasks.

Frontend Development Intern

Edunet Foundation · AICTE · IBM SkillsBuild

✓ Completed

Aug 2025 – Sept 2025 · Remote

Developed responsive web pages using HTML5, CSS3, and JavaScript; ensured cross-browser compatibility and mobile responsiveness across all components.
Implemented dynamic UI features including form validation, DOM manipulation, and interactive elements — improving user experience and interface responsiveness.
Collaborated on converting Figma/design mockups into pixel-perfect frontend code; maintained clean, reusable component structure following best practices.

Projects

Things I've Built

Hands-on projects covering full-stack development, ML, NLP, and AI integration.

Featured Project

AI Inventory Management System

Engineered a full-stack platform with role-based access control (Admin/Manager/Staff/Viewer), JWT auth, OTP-based password reset, and bcrypt hashing. Integrated ARIMA-based demand forecasting with confidence intervals, automating reorder calculations, with a real-time dashboard (KPI cards, bar/pie/line charts), audit trail, and bulk CSV upload.

React.jsFastAPI SQLiteTailwindCSS ARIMAJWT PythonRecharts

YT Lens Pro — YouTube Channel Analyser

A deployed YouTube analytics platform with channel search, performance analytics, channel-vs-channel comparison, and a "Best Time to Post" feature using YouTube Data API v3. Integrated the Claude AI API for natural language insights — strength/weakness analysis, growth strategy, audience profiling, and competitor advice for any public YouTube channel.

YouTube API v3Claude AI Chart.jsJavaScript

Cyberbullying Detector

Built a text classification model using NLP preprocessing (tokenisation, stemming, TF-IDF) and Logistic Regression; benchmarked against Naive Bayes and SVM, achieving 96%+ accuracy. Applied efficient data structures across the text preprocessing pipeline to optimise tokenisation and feature extraction on large-scale datasets.

PythonScikit-learn NLPNLTKTF-IDFLogistic Regression

Spam Email Classifier

Spam detection using Logistic Regression and Naive Bayes achieving 96%+ accuracy. Full NLP preprocessing pipeline: tokenization, stemming, and TF-IDF vectorization.

PythonScikit-learn TF-IDFNaive Bayes

Certifications