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MERN Stack Engineer with less than a year in web development & RESTful APIs.
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Assessing your cultural and operational fit
I'm Dinithi Weerasingha, a motivated and detail-oriented final-year Information Systems undergraduate with a strong foundation in Object-Oriented Programming and data structures. Skilled in JavaScript, React, Node.js, and Java, with hands-on experience in RESTful APIs, SQL, and NoSQL databases. Passionate about software development and eager to expand into cloud technologies such as GCP and AWS, with a strong ability to quickly learn and adapt to new frameworks and programming languages. Highly motivated, analytical, and excited to contribute to innovative projects in a collaborative team environment.
Rajarata University of Sri Lanka.
BSc (Hons) special degree · Information Systems
August 1, 2020 – June 30, 2024
Institute of Digital Engineering Technology Pvt. Ltd
Software Engineer - Trainee
April 23, 2025 – November 11, 2025
India
FlexyCode (Pvt) Ltd. & Evotech Institute of Higher Education
Intern Training Programme – Software Development
June 24, 2024 – Present
India
JobMatch AI (Full-Stack Web Application)
June 27, 2026 – Present
Developed a full-stack job portal using React.js, Node.js, Express.js, and MongoDB. Implemented user authentication, profile management, text-based posts, job posting, and application functionality. Integrated an AI-based candidate matching system using FastAPI to calculate match relevance and provide a matching percentage, with a responsive UI built using Tailwind CSS.
View ProjectMERN Stack E Commerce Application(Full-Stack Web Application)
June 27, 2026 – Present
Developed a full-featured e-commerce platform using React.js, Node.js, Express.js, and MongoDB. Implemented user authentication, product management, admin controls, and checkout functionality with a responsive UI using Tailwind CSS.
View ProjectHotel AI Assistant (Gradio + Google Gemini AI)
June 27, 2026 – Present
Developed an AI-powered hotel assistant using Google Gemini API and Gradio, enabling users to inquire about room availability, pricing, bookings, facilities, and nearby attractions. Implemented a context-aware chatbot with system prompts and error handling, enhancing user experience with friendly, automated customer support.
MERN Stack Smart Inventory Manager (Full-Stack Web Application)
June 27, 2026 – Present
Built a full-stack inventory management application using React, Node.js, Express.js, and MongoDB with secure authentication and real-time dashboard analytics. Implemented CRUD inventory operations, image uploads, PDF export, search & filtering, and a responsive UI using Tailwind CSS, Redux Toolkit, and Radix UI.
View ProjectMERN Stack Expense Tracker (Full-Stack Web Application)
June 27, 2026 – Present
Developed a comprehensive personal expense tracking platform using React.js, Node.js, Express.js, and MongoDB with expense management, and dashboard analytics. Implemented responsive UI using Tailwind CSS, JWT-based authentication, and data visualization with Recharts for spending analysis.
View ProjectFull-stack Engineer
STEM Link
January 1, 2025 – Present
Java Master Course
Evotech Institute of Higher Education
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong initiative through numerous personal projects, which aligns with a proactive and self-driven culture. The diversity of projects (job portal, e-commerce, inventory, expense tracker, AI assistant) indicates a broad interest and willingness to tackle different problem domains. The stated eagerness to learn cloud technologies (GCP, AWS) suggests a growth mindset. While the experience is primarily academic and personal, the consistent application of MERN stack technologies aligns well with the 'Lead MERN Engineer' target role, indicating a good foundational cultural fit for a tech-focused environment.
Soft Skills & Operational Fit
The candidate demonstrates motivation and a detail-oriented approach, as stated in the summary. Their project descriptions indicate an ability to work on diverse features within a full-stack context. The collaborative team environment mention suggests a willingness to work with others, which is positive for operational fit. However, the limited professional experience makes it difficult to fully assess real-world operational fit and soft skills beyond self-reported attributes.