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Software Engineer with less than a year in Python, AI, and web development.
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Assessing your cultural and operational fit
Computer Science Engineering student with experience in Python development, web applications, Artificial Intelligence, Machine Learning, Computer Vision, and database systems. Skilled in developing AI-powered applications using Flask, TensorFlow, OpenCV, MySQL, and MongoDB. Strong foundation in software engineering principles, problem solving, and full-stack application development. Passionate about building innovative solutions that solve real-world problems.
APJ Abdul Kalam Technological University (KTU)
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Verdant IT Solution
Artificial Intelligence & Machine Learning Intern
June 1, 2024 – July 1, 2024
Kerala, India
MindSense AI – Intelligent Mental Health Assessment and Monitoring System
January 1, 2025 – January 1, 2026
Developed an AI-powered mental health assessment and monitoring platform for early identification of stress, anxiety, and depression. Built a sentiment-aware chatbot using NLP techniques to analyze emotional responses and user sentiments. Applied Deep Learning models using TensorFlow, Keras, and CNN architectures for mental health prediction. Utilized OpenCV and Dlib for facial emotion recognition and facial landmark detection. Developed a multi-role platform supporting patients, psychiatrists, and administrators. Designed and managed a MySQL database for assessment records, appointments, and reports. Built responsive web interfaces using Flask, HTML, CSS, and JavaScript.
Real-Time Medicine Reminder System
January 1, 2024 – January 1, 2025
Developed a web-based medicine reminder application to improve medication adherence. Implemented secure user authentication and authorization. Designed medicine scheduling and refill alert functionalities. Integrated MongoDB for secure and efficient data storage. Developed dynamic user interfaces using Flask and Jinja2 templates. Enabled medical chart upload and management features. Improved accessibility for elderly users through automated reminder notifications.
Applied Artificial Intelligence Workshop
Hexinox
January 1, 2025 – Present
Cyber Security and Ethical Hacking Workshop
Hexinox
January 1, 2025 – Present
Artificial Intelligence & Machine Learning Training
Verdant IT Solution
June 1, 2024 – Present
Flutter Workshop
Futura Labs
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI/ML and web development, particularly in healthcare applications. Their participation in various workshops (AI, Cyber Security, Flutter) indicates a broad curiosity and willingness to learn diverse technologies. This breadth of interest and continuous learning aligns with a culture that values innovation and skill development. The academic nature of projects and limited professional experience suggest a fit for entry-level or junior roles where mentorship and growth opportunities are provided.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and problem-solving, as evidenced by their participation in workshops and their internship experience. Their project descriptions indicate an ability to collaborate and apply theoretical knowledge to practical scenarios. The focus on healthcare-related projects suggests an interest in impactful applications, which could align well with mission-driven teams.