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Software Engineer with less than a year in AI/ML & MERN Stack 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
Computer Science (AI & ML) student with knowledge of Python, JavaScript, HTML, CSS, Data Structures, Object-Oriented Programming, and MERN Stack development. Seeking a challenging entry-level position where I can apply my technical skills, gain practical industry experience, and contribute to the growth of the organization.
Vaagdevi College of Engineering (VCE)
B.Tech · Computer Science and Engineering (AI & ML)
August 1, 2022 – June 30, 2026
SRM Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Thapar Vidya Vihar High School
Class X · SSC
June 1, 2019 – May 31, 2020
Edunet Foundation, EY Global Delivery Services & AICTE
MERN Stack Intern
September 1, 2024 – October 15, 2024
India
EduSkills, AICTE & Google for Developers
AI-MI Virtual Intern
March 1, 2024 – May 15, 2024
India
E-Commerce platform using MERN STACK
November 1, 2023 – May 1, 2024
Developed a full-stack E-Commerce Platform using the MERN Stack with product listing, cart management, and checkout functionalities. Built responsive user interfaces using React.js and implemented RESTful APIs using Node.js and Express.js for seamless communication between frontend and backend. Integrated MongoDB for efficient data storage and management, providing a smooth online shopping experience.
Privacy Preserving and Secure Machine Learning Using Python
September 1, 2023 – March 1, 2024
Developed a privacy-preserving machine learning system using Python in Anaconda Jupyter Notebook to ensure secure handling of sensitive data during model training and prediction. Performed data preprocessing, analysis, and model development using Pandas, NumPy, and Scikit-learn while implementing privacy-preserving techniques such as Federated Learning and Differential Privacy techniques to protect sensitive information. Achieved 95% model accuracy while maintaining data confidentiality and minimizing information leakage, enabling secure and trustworthy AI applications.
Python Internship Completion Certificate
Coding Raja Technologies
June 1, 2025 – Present
Building Modern Web Applications with MERN Stack
Edunet Foundation, EY Global Delivery Services & AICTE
September 1, 2024 – Present
AI-ML Virtual Internship
EduSkills, AICTE & Google for Developers
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a breadth of interest in both full-stack web development (MERN Stack) and AI/ML. This diversity of technical exposure suggests an adaptable individual eager to learn and contribute across different domains. Participation in hackathons and solving LeetCode problems indicates a proactive and collaborative mindset, which generally aligns well with a dynamic engineering culture. However, the experience level is very junior, which might require significant mentorship and ramp-up time.
Soft Skills & Operational Fit
The candidate lists good communication, teamwork, problem-solving, adaptability, and time management as soft skills. Project descriptions indicate collaboration in hackathons and practical application of problem-solving. The academic nature of projects and internships suggests a learning-oriented approach, which is suitable for an entry-level role. However, without direct interview data, the depth of these soft skills in a professional setting cannot be fully assessed.