Mohitdeep Singh
Software Developer | ML & Cloud Enthusiast
I design and build practical, scalable applications with a focus on simplicity, clean architecture, and real-world impact. Proficient in full-stack development, Machine Learning and cloud computing.
Skills & Capabilities
Frontend Web Development
This website is built using React and Tailwind CSS. I structure responsive layouts with HTML/CSS and JavaScript to create engaging, accessible interfaces.
Cloud & Backend Systems
I developed a serverless job recommendation system using AWS services (Lambda, API Gateway, DynamoDB, S3) with Python for backend logic. Deployed using Terraform and secured within a VPC.
Mobile & ML App Development
Built a Financial Planner app using React Native, Firebase for realtime data, and TensorFlow Lite to analyze expense patterns and offer budgeting suggestions.
Programming Foundations
Strong understanding of programming fundamentals, object-oriented design, and data structures. Gained through academic coursework and personal exploration.
Work Experience
Software Developer Intern
Penang Development Corporation • Mar 2021 – Aug 2021
- Collaborated on internal software tools to improve operational workflows.
- Refactored legacy code for maintainability and optimized performance.
- Wrote unit tests and technical documentation for onboarding and QA.
- Participated in Agile sprints and team stand-ups.
Featured Projects
AI-Powered Job Recommendation System
A cloud-based system that matches users to relevant job listings based on their skills. Built with AWS services such as Lambda, DynamoDB, S3, API Gateway, Sagemaker and VPC.
Budget Planner App
A student-focused financial planner with ML-driven insights, built using Java, Firebase, and TensorFlow Lite. Features expense tracking, smart grocery suggestions, and analytics.
Online Barter Trader
An Android app for trading used items locally without money. Includes listings, in-app chat, role-based dashboards, and real-time Firebase integration.
Maze-Solving Robot
Thymio-based robot programmed with Aseba to autonomously solve mazes. Integrated real-time sensor feedback and won first place in project competition.