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AI Engineer with less than a year in Python & Machine Learning for healthcare solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Bachelor of Computer Application student with hands-on experience in Python development, frontend design, and database management. Proven ability to develop AI-based healthcare solutions, specifically in machine learning for early disease detection. Strong technical foundation in Django, MySQL, and full-stack web development.
Srinivas University
Bachelor of Computer Application (BCA)
N/A – June 30, 2026
RISS Technologies
Python Intern
December 1, 2025 – March 1, 2026
Kannur, Kerala, India
Early PCOD Detection System
January 1, 2026 – June 1, 2026
Developed an AI-powered platform for early diagnosis of PCOD using Machine Learning algorithms. Designed a multi-module system for Admins, Doctors, Trainers, and Users using the Django framework. Analyzed clinical and metabolic data to achieve accurate risk predictions for female reproductive health. Implemented frontend features using HTML, CSS, and Bootstrap, ensuring a responsive user interface across devices. Integrated a MySQL database to securely manage user health records, prediction history, and specialist consultations.
AI Security & Governance
Securiti
June 1, 2026 – Present
Data Security Posture Management (DSPM) Fundamentals
Securiti
June 1, 2026 – Present
Foundations: Data, Data, Everywhere
Google (Coursera)
June 1, 2026 – Present
Project Award – Successfully developed and presented "PCOD Early Detection System" for Sixth Semester BCA requirements
Unknown
June 1, 2026 – Present
Internship Completion Certificate – Python & MySQL Development
RISS Technologies
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on PCOD detection demonstrates an interest in applying technology for social good, which can be a positive cultural fit for impact-driven organizations. The project diversity (AI/ML, full-stack web) and coursework indicate a broad interest in computer science domains. The internship and academic project show a proactive approach to gaining practical experience. However, the candidate is still early in their career, and their exposure to diverse team environments or complex organizational structures is limited.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on multi-module systems and integrate various technologies, indicating a structured approach to development. The internship experience shows a capacity for focused development and database management. However, without psychometric test results or interview data, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.