Deepanshu Adhikari
Frontend Engineer (React, Next Js)AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Engineer with less than a year in MERN Stack & Java
I am writing to express my interest in an internship or job opportunity at your organization. I have hands-on experience with the MERN Stack (MongoDB, Express.js, React.js, Node.js), Java, C, and SQL, and I’m passionate about building efficient and user-focused applications. I am eager to contribute my skills, learn from experienced professionals, and grow as part of your team. I’ve attached my resume for your review and would greatly appreciate the opportunity to discuss how I can add value to your organization. Thank you for your time and consideration. I look forward to your positive response. Best regards, Deepanshu Adhikari 📧 deepanshuadhikari549@gmail.com 📱 7668070347 🔗 GitHub: github.com/DeepanshuAdhikari549 🔗 LinkedIn: https://www.linkedin.com/in/deepanshuadhikari 🌐 Portfolio: portfolio-deepanshu-projects.vercel.app
Graphic Era Hill University
Master of Computer Applications (MCA)
August 1, 2024 – Present
SSJ University, Almora
Bachelor of Science in Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Vivekanand Inter College
Intermediate (12th)
June 1, 2019 – May 31, 2020
Vivekanand Inter College
High School (10th)
June 1, 2018 – May 31, 2018
FitBae E-Commerce Platform
January 1, 2025 – Present
Engineered a full-stack e-commerce platform with secure authentication, product management, shopping cart, and order processing. Architected RESTful APIs using Express.js to enable efficient frontend-backend communication and handle concurrent user requests. Developed a responsive React.js interface, improving page load performance by approximately 20% and enhancing user experience. Integrated Stripe API to enable secure and reliable online payment transactions. Optimized MongoDB queries to reduce response latency and improve backend efficiency. Implemented JWT-based authentication and role-based access control for secure user and admin management.
Quick-AI – SaaS AI Platform
January 1, 2025 – Present
Built a SaaS platform providing AI-powered tools for automated content and image generation. Integrated Gemini and ClipDrop APIs to enable real-time processing with low response latency. Designed a scalable backend architecture using REST APIs to support modular development and future feature expansion. Implemented secure authentication and subscription management using Clerk and PostgreSQL. Leveraged Cloudinary for optimized media storage and improved content delivery performance.
SwiftBank - CLI Banking System
January 1, 2025 – Present
Designed a CLI banking system supporting account creation, balance tracking, and transaction history management. Implemented file-based storage to ensure persistent data handling and recovery across sessions. Applied Dijkstra's algorithm across multiple nodes to optimize routing and improve operational efficiency. Utilized core data structures to simulate real-world banking workflows efficiently. Strengthened system reliability through input validation and structured error handling.
View ProjectOracle Cloud Infrastructure Generative AI
Oracle
April 1, 2026 – Present
Introduction to Front-End Development
Meta (Coursera)
April 1, 2026 – Present
The candidate achieved a strong passing score of 74% on the MERN : Intern exam, indicating a good grasp of core MERN stack technologies and related frontend/backend concepts. This suggests a solid understanding of the fundamentals required for web development using these tools.
Strengths
Cultural Fit Analysis
With a psychometric test score of 62%, the candidate shows moderate alignment with desired traits such as work attitude, stress handling, and team collaboration. While acceptable, this score suggests that further assessment would be beneficial to determine a strong cultural fit, especially for a senior position requiring significant leadership and collaborative contributions.
Soft Skills & Operational Fit
The candidate's psychometric test score (62%) suggests an acceptable but not strong performance in areas like logical reasoning, work attitude, stress handling, and team collaboration. The English test score (63%) indicates moderate communication clarity and professional language usage. These scores suggest a need for further development in soft skills and operational fit for a senior role.
Limitations