My Portfolio
Hi I am
Eshan Sharif
I am a student and aspiring software engineer with an interest in AI and full-stack web development.
About Me
Education
I hold a degree in Computer Science and I am focusing on technologies like React, Next.js, and Tailwind CSS.
Problem-Solving
I approach challenges with a logical and systematic mindset.
Experience
I have a diverse portfolio of projects.
Technical Skills
As a Fullstack Web Developer, I specialize in Salesforce, React JS, Next.js, and Tailwind CSS. My expertise extends to creating responsive, user-friendly interfaces and efficient backend solutions.
My Projects
01
Personal Portfolio Website
A responsive personal portfolio website designed to showcase projects, experience, and skills. Built using React, Next.js, and Tailwind CSS for a modern, clean interface.
React, Next.js, Tailwind CSS, Framer Motion
02
Weather Forecast Application
A web app that provides real-time weather forecasts by integrating the OpenWeatherMap API. Built to improve user experience by providing accurate, location-based data.
JavaScript, React, Node.js, Express, OpenWeatherMap API
03
Task Management Tool
A Python-based task management tool that helps users organise, prioritise, and track their tasks with reminders. Includes user authentication and data persistence.
Python, Django, PostgreSQL, Bootstrap
04
Eventbyte
A web application for managing events with real-time updates and dynamic content loading. Features user authentication and scalable database management.
HTML, CSS, JavaScript, Flask, SQLAlchemy
05
Java Robot Maze
Developed a robot navigation system using Dijkstra’s and A* algorithms, optimised for solving complex mazes with real-time pathfinding.
Java, HashMaps, DFS, A* Algorithm
06
Automated Data Process for Clinical Trials
During my internship at Jazz Pharmaceuticals, I automated key data processes to improve the efficiency and security of clinical trial data management systems.
C#, iMedidata, SQL
07
Front-End Development for PreFessionals
Built and optimised front-end components using Next.js, improving load times and ensuring a user-friendly design for PreFessionals’ responsive websites.
Next.js, React, Tailwind CSS
08
URSS Sentiment Analysis Project
A sentiment analysis project using NLP techniques to classify feedback data, oversampling imbalanced datasets with OpenAI’s API, and applying machine learning models like Random Forest.
Python, Scikit-learn, Pandas, OpenAI API
09
URSS Sentiment Analysis Project
During my URSS research, I developed a machine learning model using NLP techniques to analyse sentiment, balancing datasets through OpenAI API and improving overall accuracy with synthetic data generation.
Python, Scikit-learn, OpenAI API, Pandas
What I Do
HTML
CSS
React
JavaScript
Python
Java
Flask
Node.JS
