Hello! 👋
I'm Timothy Jan, a Software Engineer specializing in full-stack development with expertise in Angular, Python, ASP.NET Core, and SQL. I create scalable solutions and user-focused applications that streamline workflows and solve real-world problems. 👨💻
Get in touch 👉 jan.timothy@gmail.com
I'm currently an Software Engineer at Jantek Electronics. but my journey began in Electrical Engineering, following in the footsteps of my grandfather and dad. After three years in the field, I made the leap to Computer Science during the COVID era—sorry, Dad! 😅.
When I'm not coding, you’ll find me spending time with my wife (we just got married in August 2024!), exploring new cuisines, traveling, lifting weights, playing basketball or volleyball, gaming (League and Valorant), listening to music, or organizing my thoughts into lists.
I’m actively seeking full-time opportunities where I can contribute my passion for creating innovative solutions!Angular 16+
TypeScript
RxJS
Angular Material
Reactive Forms
ASP.Net Core 6+
Entity Framework Core
SQL Server
RESTful APIs
SQL Server
Azure SQL
AWS RDS
MongoDB
Repository Pattern
Dependency Injection
Clean Architecture
Data annotations
Fluent Validation
Custom business rules
- Engineered full-stack payroll management system using ASP.NET Core, Angular 16+, and SQL Server, improving user engagement by 50%.
- Developed RESTful APIs with comprehensive error handling and responsive Angular UI with Material Design.
- Implemented SQL Server constraints ensuring data integrity and protected record system with restricted editing capabilities.
- Boosted productivity by over 100% leveraging generative AI (ChatGPT & DeepSeek) for rapid prototyping and code optimization.
- Developed Python MQTT app for real-time data processing and optimized WordPress performance by 30% through SEO/UX enhancements.
- Career Switch!
- Spearheaded collaboration across R&D, Regulatory, and Quality teams to qualify a new laparoscopic device harness.
- Reduced costs by 90% and improved RF energy efficiency, enhancing operational performance and reliability.
- Analyzed returned medical devices to identify root causes of failures and prepared reports that supported product reliability improvements.
- Diagnosed and resolved firmware/software issues in medical devices and supported product improvements through data analysis.
- Executed test protocols and tracked bugs using TESTTRACK to ensure reliability in allergy/autoimmune diagnostic software.
- Configured PCs with required software and hardware for seamless system operation.
- Following my father's and his father's footsteps...
Python-based MQTT subscriber application using tkinter for UI, multi-threaded message handling, and data export to CSV or text formats.
Task management application using ASP.NET Core, Entity Framework Core, Angular, Bootstrap, and SQL Server on AWS RDS, enabling efficient project assignment, progress tracking, and team collaboration. Frontend demo ➡️
Full-stack Employee Management System using ASP.NET Core, Angular, Bootstrap, and Azure SQL, implementing DTOs for data transfer, repository patterns for data access, and RESTful APIs for efficient employee, department, and role management, successfully deployed to Azure. Frontend demo ➡️
Collaborative music playing full stack web app integrated with the third party Spotify API using Python(Django/Django Rest Framework) and Javascript(React).
Full-stack Todo List app with an ASP.Net Core Minimal API and a dynamic Angular Material frontend, successfully deployed to Azure. Frontend demo ➡️
Full-stack book review management system using Google Books API, MEAN stack (MongoDB, Express, Angular, Node), and Bootstrap. Frontend demo ➡️
Full stack web app using Mongodb for database, Java and Spring Boot for the backend, and React for the frontend. CRUD (Create, Read, Update and Delete) movie reviews and ratings.
Flight Price Prediction Flask App using numpy, seaborn, pandas and sklearn.
Full-stack movie review/rating management system using the MERN stack (MongoDB, Express, React, and Node.js).
CRUD workout days with Strength and Cardio training sets.
We apply autoencoders to the task of making movie recommendations.
We generate text using a character-based RNN. Our dataset is the text corpora for the elder scrolls game and some others games as well.
We recognize handwritten characters(English alphabets) from A-Z by modeling a Convolutional Neural Network that will be trained over a dataset containing images of alphabets.
Created Lexical Analyzer and Syntax Analyzer components of a compiler for a made-up C based language.