HAMZA SHIBIL K T
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with less than a year in Python, Machine Learning & AI.
Aspiring Software Engineer with a strong foundation in programming languages like Python, Java, MySQL along with knowledge of Machine Learning, AI. Possess strong problem-solving, communication, and teamwork skills, with hands-on experience in full-stack development and RESTful API integration. Skilled in building responsive web applications, managing databases, and developing intelligent systems through real-world projects. Passionate about learning emerging technologies and applying AI and machine learning concepts to build innovative solutions. Seeking an opportunity to contribute technical expertise and grow as a software developer in a dynamic IT environment.
JAIN UNIVERSITY
MCA · Computer Application
August 1, 2024 – June 30, 2026
CALICUT UNIVERSITY
BSC · Computer Science
August 1, 2021 – June 30, 2024
ColligoBrains Technology Solutions Private Ltd
SOFTWARE DEVELOPER INTERN
July 1, 2025 – September 30, 2025
India
Grocery Store Web Application
June 23, 2026 – Present
Developed a full-stack grocery store web application to manage product listings, inventory, and store operations. Built RESTful APIs using Flask for seamless communication between frontend and backend services, and implemented CRUD operations for efficient product and inventory management. Integrated MySQL for reliable data storage and retrieval, while designing a responsive user interface using HTML, CSS, and JavaScript to enhance user experience and streamline store operations.
XAI Learning Disability Detection System
June 23, 2026 – Present
Developed a web-based Learning Disability Detection System that analyses behavioural and academic data using machine learning algorithms to identify potential learning disabilities. Built and integrated the frontend and backend using React and Flask for real-time prediction and result processing. Implemented Explainable AI techniques to make predictions transparent and interpretable, while designing a user-friendly interface to support early identification and help educators and parents make informed decisions
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications, from e-commerce to AI-driven systems for social good (learning disability detection). Participation in 'We Code Community' and hackathons, along with volunteering, suggests a collaborative and community-oriented mindset. The breadth of skills listed, including AI/ML and various development tools, indicates a willingness to explore different technical areas, which can be a good cultural fit for dynamic environments. However, the experience is primarily academic and internship-based, so real-world cultural fit in a professional team setting needs further validation.
Soft Skills & Operational Fit
The candidate highlights communication, teamwork, adaptability, and time management as soft skills. Project descriptions indicate an ability to work on full-stack applications and integrate various technologies, suggesting a foundational operational fit for a software engineering role. The academic projects and internship show a proactive approach to learning and applying new technologies.