Full-Stack Developer | UI/UX Designer | AI Specialist
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Dynamic Software Engineer and MCA Graduate specializing in Full-Stack Development and Machine Learning. Proven track record in building end-to-end applications, from predictive AI models to scalable web and mobile solutions using Django, React.js, and Flutter. Certified in Python for Data Science (NPTEL) with a strong foundation in data-driven problem solving and clean, production-ready code.
Marian College, Kuttikanam P.O. Peermade- 685 531
Master of Computer Applications (MCA) · Computer Science
July 23, 2024 – May 18, 2026
St. George's College, Aruvithura- 686 122
Bachelor of Computer Applications (BCA) · Computer Science
July 4, 2021 – April 24, 2024
Roshai
AI Intern
November 1, 2025 – February 1, 2026
Cochin, Kerala, India
RISS TECHNOLOGIES
Web Development Intern
February 1, 2024 – March 1, 2024
Cochin, Kerala, India
CareerOutcome-AI (Placement Prediction & Guidance)
June 1, 2026 – Present
Developed a predictive engine using Scikit-learn to analyze academic history and forecast placement outcomes with high precision. Implemented automated preprocessing pipelines using Pandas and NumPy to handle multidimensional datasets. Integrated NLP-based resume parsing to identify skill gaps and provide personalized course recommendations.
LearnMate (AI-Powered E-Learning Platform)
June 1, 2026 – Present
Built a personalized learning system featuring an AI recommendation engine that adapts content based on real-time user performance. Secured the platform with JWT-based authentication and designed a dynamic progress-tracking dashboard.
PhotoBlend (Mobile Photo Editor)
June 1, 2026 – Present
Created a cross-platform mobile app for real-time image blending and cloud-based user data synchronization.
Data Science Tools & Python for Data Science
IBM
June 1, 2026 – Present
Python for Data Science
NPTEL
June 1, 2026 – Present
Machine Learning with Python
IBM/Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in AI/ML, web, and mobile development, indicating adaptability and a willingness to explore different domains. The internships, though short, show exposure to both AI/ML and web development environments. This breadth of interest could contribute positively to a dynamic team culture. However, the primary focus on AI/ML in certifications and one internship, while the target role is Frontend Developer, suggests a potential misalignment in long-term career focus, which might impact cultural fit if the team is strictly frontend-focused.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to collaborate (e.g., 'collaborating with senior engineers'), problem-solve (e.g., 'Resolved 20+ critical production bugs'), and manage data pipelines. The academic background and certifications indicate a structured approach to learning and development. However, the limited professional experience means operational fit in a senior role would need further validation.