Hello World👋

I'm Imam Septian

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Transforming ideas into digital reality with a blend of frontend flair and backend brilliance. Passionate about crafting seamless user experiences and optimizing digital solutions. Let's create something extraordinary together!

< About Me />

Imam Septian

From childhood, computers captivated me, sparking a journey from casual gaming to solving tech issues for others. This passion led me to pursue a Computer Science degree at Dian Nuswantoro University. Despite initial challenges, I embraced various programming languages, gravitating towards JavaScript, PHP, and Python for web development. Graduating with a 3.77 GPA after 3.5 years, I also expanded my skills through Bangkit 2021, focusing on machine learning.

My professional career took off at Tinkerlust, where I thrived as a Fullstack Engineer. There, I honed my expertise in both frontend and backend development, crafting seamless user experiences through our e-commerce platform, Ops dashboard, and robust APIs. This role solidified my ability to deliver innovative, full-stack solutions, marking a significant milestone in my tech career.

< Work Experiences />

Tinkerlust

Software Engineer

September 2023 - July 2024
  • User Experience : Implemented guest cart and order checkout, boosting user conversions.
  • Shipping Integration : Integrated GrabExpress and AnterAja, reducing delivery times by ~50%.
  • Zalora Integration : Automated Zalora order sync, eliminating manual work.
  • QRIS Payments : Integrated QRIS payment method for improved user convenience.

Tinkerlust

Junior Software Engineer

September 2021 - September 2023
  • Marketing Automation : Increased promo conversions by ~1.8% using WhatsApp Business API.
  • Unified Authentication : Reduced login errors by 50% with single login for customer and seller accounts.

LPK Primedian

Software Developer Intern

January - February 2020
  • Admin Panel Development : Built a web-based admin panel for the AKUBISA application.
  • Feature Implementation : Created CRUD features for literacy and numeracy data management.
  • Data Management : Streamlined school operations with CRUD features for student, teacher, class, and subject data.
  • Character Mapping : Developed features for recording and printing student character mapping results.

< Tools />

Tools, Libraries, and Frameworks that I'm familiar with

< Projects />

Explore some of my recent work and personal projects

JSON-Shift

JSON-Shift

JSON-Shift is a tool designed to help users extract their desired information from websites and convert it into a structured JSON format based on user-defined attributes. By simplifying web scraping and information extraction, JSON-Shift makes it easy to transform website content into customized, machine-readable data. It leverages technologies such as Puppeteer for web scraping, Cohere for embedding, and large language models like Gemini and Groq for intelligent content processing. JSON-Shift supports customizable JSON output, allowing users to specify exactly which elements they want to extract, for example manga details from a reading website, personal information from a wiki page, or news articles from an Indonesian news site. The tool uses a combination of web scraping, vector storage, and LLM integration to filter out unnecessary content, retrieve relevant data, and produce a structured JSON output that meets user specifications. With features like intelligent content filtering and vector search for efficient similarity matching, JSON-Shift offers a robust solution for extracting and organizing web data into a usable format.

Next Js
Typescript
Langchain
Shadcn UI
Tailwind
LLM
Embedding

< Contact />

Feel free to reach out for collaborations or just a friendly hello

JSON-Shift

JSON-Shift
JSON-Shift
JSON-Shift

JSON-Shift is a tool designed to help users extract their desired information from websites and convert it into a structured JSON format based on user-defined attributes. By simplifying web scraping and information extraction, JSON-Shift makes it easy to transform website content into customized, machine-readable data. It leverages technologies such as Puppeteer for web scraping, Cohere for embedding, and large language models like Gemini and Groq for intelligent content processing. JSON-Shift supports customizable JSON output, allowing users to specify exactly which elements they want to extract, for example manga details from a reading website, personal information from a wiki page, or news articles from an Indonesian news site. The tool uses a combination of web scraping, vector storage, and LLM integration to filter out unnecessary content, retrieve relevant data, and produce a structured JSON output that meets user specifications. With features like intelligent content filtering and vector search for efficient similarity matching, JSON-Shift offers a robust solution for extracting and organizing web data into a usable format.