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Entry-level Software Engineer with AI/ML exposure and Fullstack Development skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Software Engineer with AI/ML exposure, pursuing an MCA in Artificial Intelligence & Machine Learning. Skilled in full-stack web development, core computer science, and CNN-based deep learning models, with a focus on building scalable, efficient solutions.
Jain University, Bangalore
Master in Computer Application (MCA) · AI / ML
August 1, 2024 – June 30, 2026
Codtech IT Solutions Pvt Ltd
Data Science Intern
June 1, 2025 – August 31, 2025
India
Prodigy Infotech
Full Stack Web Developer Intern
May 1, 2025 – June 30, 2025
India
Leaf Disease Prediction
June 1, 2025 – August 31, 2025
Developed a classification model to identify plant leaf disease. Applied data preprocessing and model evaluation techniques.
Real Chat - Video Calling & Chat Application
May 1, 2025 – June 30, 2025
Engineered and crafted intuitive a full-stack real-time chat and video calling application. Implemented REST APIs and managed back-end data flow.
E-Commerce Platform
January 1, 2025 – December 31, 2025
Built a full-stack e-commerce web application with product listing, cart, and order management features. Implemented RESTful APIs using Express.js and Node.js for seamless frontend-backend communication. Designed and managed MongoDB database schemas for users, products, and orders. Developed a responsive UI using React with smooth user experience and dynamic state management.
Machine Learning & NLP Basics
Edureka & Veranda Enterprise
September 1, 2025 – Present
Database Capstone
Coursera & Meta
March 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a breadth of interest across full-stack web development and AI/ML, which could indicate adaptability. The academic projects and internships suggest a proactive approach to learning and applying skills. However, the experience level is very junior (0 years experience, internships are future-dated), which might not align with a senior-level target role requiring significant independent contribution and mentorship capabilities. The projects are academic, which is typical for a candidate at this stage, but real-world, collaborative project experience is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from full-stack web development to machine learning. The internship experiences suggest a capacity for learning and applying new technologies in a structured environment. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication beyond the written descriptions.