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Hi there! 👋

About Me

I'm a passionate researcher and developer with a strong interest in leveraging technology to solve complex problems.

  • 🔭 I'm working on projects that involve natural language processing, machine learning, and data extraction.
  • 🌱 I'm constantly learning and exploring new technologies to expand my skill set.
  • 👯 I'm looking to collaborate on innovative projects that make a positive impact.
  • 📫 How to reach me: Connect with me on LinkedIn or drop me a message here.
  • 🆔 ORCID: 0000-0003-4840-7371

Featured Projects

The Systematic-Synthesizer is an application that aims to automate the systematic review process. It leverages natural language processing (NLP), machine learning (ML), and data extraction techniques to streamline research design, literature search, and data synthesis. The goal is to make the systematic review process more efficient and less time-consuming for researchers.

(https://github.com/sp12102001/Systematic-Synthesizer/raw/main/systematic-synthesizer.gif)

The Tax Questions Bot is a web-based tool designed to help individuals in Singapore determine their tax-related queries. It provides answers to common questions related to income tax, tax deductions, filing procedures, and more. The bot aims to make tax information more accessible and easier to understand for the general public. (https://github.com/sp12102001/Tax-Questions-Bot/raw/main/preview.png)

The Inventory Management System is a web-based prototype designed to help track suppliers and order items, to manage stock, supply required and existing capacity. Can be modified for use as a generic CMS, and run via Codepen/Codesandbox/ any other frontend hosting platforms or easily integrated into backend database systems (Supabase, Firebase , etc)

Skills

  • Programming Languages: Python, JavaScript, TypeScript, HTML/CSS
  • Frameworks/Libraries: React, Node.js, Express.js, Vue.js
  • Databases: MongoDB, MySQL
  • Tools: Git, Docker, AWS

Let's Connect!

I'm always excited to collaborate on interesting projects and discuss new ideas. Feel free to explore my repositories and reach out to me if you have any questions or suggestions. Let's create something amazing together!

LinkedIn GitHub

SP's Projects

api-query-framework icon api-query-framework

Framework to make an API Query using Javascript on a Static Site using ChatGPT and Github Pages

apology-support-ai icon apology-support-ai

A satarical initiative leveraging  Cloudflare Workers to dynamically generate personalized gift ideas based on parameters like the cause of an argument, age, budget, and severity.

atsresume icon atsresume

ATSResume | Get hired with an ATS-optimized resume

cv-generator icon cv-generator

Using React, Google Sheets, and CSS to create a dynamic cv and cover letter generator.

ihatecoverletters.com icon ihatecoverletters.com

iHateCoverLetters is a simple cover-letter automation web app. Copy and paste the text of one cover letter and iHateCoverLetters will create and bulk export clean, company specific cover letters in PDF format.

litreviewer icon litreviewer

litreviewer is a Python package (collection of few Python modules) that helps researchers perform crawling, scraping, collecting (corpus), analysing web based data. Read companion monograph available from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3856547

morphic icon morphic

An AI-powered search engine with a generative UI

network-me icon network-me

Starting framework for a auth-included social media application

personal-site icon personal-site

My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.

portfolio icon portfolio

Responsive one-page portfolio website template

python-game icon python-game

A Python-based interactive maths game. Human plays against the computer in a test of speed and accuracy.

react-gh-pages icon react-gh-pages

Deploying a React App (created using create-react-app) to GitHub Pages

systematic-synthesizer icon systematic-synthesizer

The application aims to automate the systematic review process, leveraging natural language processing (NLP), machine learning (ML), and data extraction techniques to streamline research design, literature review, and data synthesis.

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