Aspiring Software Engineer with AI/ML and Fullstack Development experience
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 Al/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 1, 2025
India
Prodigy Infotech
Full Stack Web Developer Intern
May 1, 2025 – June 1, 2025
India
Leaf Disease Prediction
June 1, 2025 – August 1, 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 1, 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 strong inclination towards learning and applying new technologies, as seen in their diverse personal projects and certifications. Their interest spans both web development and AI/ML, indicating a broad technical curiosity. The personal projects demonstrate initiative and self-driven learning, which are positive indicators for cultural fit in a dynamic environment. However, the limited professional experience means their ability to collaborate in a team setting and navigate complex organizational structures is yet to be fully demonstrated.
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 pursuit of an MCA in AI/ML alongside web development projects suggests a proactive learning attitude and adaptability. However, the lack of professional experience beyond internships and the early stage of their academic career (MCA started in 2024) means they would require significant mentorship and operational guidance in a senior role.