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Full Stack Engineer with less than a year in Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a diligent B.Tech student in Computer Science and Engineering with a strong academic record (CGPA 8.0), I am an aspiring Full Stack Engineer. I possess hands-on experience in MERN stack, React Native, and Python-based machine learning projects. My skills span interactive front-end development, secure backend integration, database management, and performance optimization. I am passionate about building scalable systems and contributing to open-source initiatives.
B.P. Mandal College of Engineering, Madhepura
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Internshala
Web Developer Intern
September 1, 2023 – October 31, 2023
India
PureDoodh Wala App
January 1, 2024 – June 1, 2026
Milk Subscription & Delivery Platform (MERN + React Native + Expo) Built a cross-platform mobile app enabling product browsing, wallet recharge, and subscription-based milk delivery. Implemented JWT authentication and bcrypt encryption for secure user management. Integrated Razorpay for online payments and order tracking modules. Optimized checkout and payment flow, reducing transaction time by 15%.
Job Portal
January 1, 2024 – June 1, 2026
Dynamic Recruitment Platform (MERN Stack) Engineered a full-stack web app supporting job posting, searching, and application tracking. Added JWT-based authentication, MongoDB Atlas, and secure REST APIs. Improved backend query efficiency by 20% through indexed schema design.
House Price Prediction
January 1, 2024 – June 1, 2026
Machine Learning Model (Python, Scikit-learn, Matplotlib, Kaggle) Built a regression model to predict house prices using real-world Kaggle dataset. Achieved > 90 % prediction accuracy through data preprocessing and feature scaling. Optimized model runtime by 20% using efficient pipeline design and reduced feature set.
Cultural Fit Analysis
The candidate's project diversity, including a MERN stack job portal, a React Native milk delivery app, and a Python ML project, shows a broad interest in different technologies and problem domains. This indicates adaptability and a willingness to explore various areas, which can be a good cultural fit for teams that value versatility. However, the candidate is still early in their career (experience level 0, currently pursuing B.Tech), so their understanding of complex team dynamics and corporate culture is likely limited. The alignment with a 'Full Stack Engineer' role is strong given the project experience.
Soft Skills & Operational Fit
The candidate lists 'Leadership', 'Team Management', and 'Problem Solving' as soft skills. Project descriptions mention 'Leadership' and 'Agile Development'. While these are positive indicators, the short internship duration and academic status mean these skills are likely nascent. The candidate's interest in cloud deployment, AI-based automation, and scalable system design suggests a growth mindset and potential for operational fit in a dynamic environment.