Personal Portfolio

My Experience

Personal Portfolio
2025

ACMEGRADE

Cloud Computing (Intern)

Testing & Optimization: Executed rigorous testing

on local platforms to ensure intent accuracy; optimized

bot responses to handle edge cases in user

inputs effectively.

Bachelor

Education

Personal Portfolio
2025-Present

B.Tech CSE in Cloud Technology

& Information Security

Sandip University

Pursuing

Use CV for reference

My Resume

2008 - 2026

Education Quality

B.Tech CSE

Sandip University (2022 - 2026)
9.1/10

Currently Pursuing B.Tech in Computer science, Learning Cloud Architecture and Practicing Ethical Hacking

10 + 2 (CBSE)

OM Public School (2008 - 2022)
79%

Most precious and amazing time of my life

Professional Skills

AWS (Lex, EC2, S3), Vercel Deployment
Vercel Deployment
Linux Administration
Linux
Machine Learning Algorithms
Git & GitHub
Networking
Threat Analysis
Python
Poweshell
Shell Scripting
VMware
Selenium
Bash
HTML/CSS
Object-Oriented Programming (OOP)
2025

Job Experience

Cloud Computing (Intern)

Cloud Computing (2025)
Leaderboard #1

AWS Lex Chatbot Development: Engineered three distinct conversational AI bots using AWS Lex to automate customer service workflows, improving user engagement metrics. Automated Car Purchasing System: Developed a "Car Buying Assistant" capable of collecting user demographics and filtering through a database of 20+ car models based on price, color, and delivery preferences. E-Commerce & Railway Solutions: Designed complex conversation flows for an Online Shopping bot and a Railway Ticket Booking system (mimicking IRCTC logic for General/Tatkal quotas), successfully handling slot filling and intent recognition. Testing & Optimization: Executed rigorous testing on local platforms to ensure intent accuracy; optimized bot responses to handle edge cases in user inputs effectively.

Projects

Spacifyer

Webapp

Development & Deployment: Developed a web application providing an immersive "Geomagnetic Experience" to visualize space weather data. Recognition: Awarded "Galactic Problem Solver" by NASA for outstanding efforts in addressing Earth and Space challenges.Cloud & Hosting: Deployed the solution on Vercel, ensuring high availability and global accessibility.

Titanic Survival Prediction

AI

Predictive Modeling: Built a binary classification model to predict passenger survival rates using Logistic Regression, Random Forest, and XGBoost. Data Engineering: Performed extensive preprocessing, handling missing values (Age/Embarked) and feature engineering (Title extraction, FamilySize) to improve model performance. Optimization: Implemented Randomized SearchCV to tune hyperparameters, optimizing the Random Forest classifier for maximum accuracy.

Platforms

PyCharm
Visual Studio Code
VMware
Virtual Box

OS

Kali Linux
Ubuntu
RHEL
Windows

Soft Skills

Creative thinking