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AI Engineer with less than a year in Machine Learning and Software Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate with strong foundations in Artificial Intelligence, Machine Learning, Software Engineering, and Intelligent Automation. Skilled in Python, JavaScript, React.js, Node.js, MongoDB, and REST API development. Hands-on experience building AI-powered applications and intelligent software solutions. Passionate about automation, problem-solving, continuous learning, and developing innovative technologies that create real-world impact.
Government College of Engineering Kannur
Bachelor of Technology (B.Tech) · Computer Science Engineering
August 1, 2022 – June 30, 2026
Kerala State Board
Secondary Education
N/A – May 31, 2018
EMEA HSS Kondotty, Kerala State Board
Higher Secondary Education
N/A – May 31, 2020
Genzeee
Software Development Intern
May 1, 2024 – July 1, 2024
India
GlucoTrack
January 1, 2026 – June 1, 2026
Developed a full-stack healthcare application for glucose monitoring and patient management. Built scalable backend services and REST APIs for secure healthcare data handling. Applied software engineering principles to design maintainable and modular application components. Implemented authentication, database integration, and workflow automation features.
AI-Based Video Content Quiz Generator
January 1, 2026 – June 1, 2026
Developed an AI-powered application that converts video content into interactive quizzes using speech-to-text and NLP techniques. Automated educational content generation through intelligent text analysis and question creation. Implemented audio extraction, transcription, and content processing pipelines using Python. Improved accessibility and learning efficiency through automation-driven content generation. Applied Artificial Intelligence concepts to build intelligent educational solutions.
Cultural Fit Analysis
The candidate's academic projects, particularly the 'AI-Based Video Content Quiz Generator', show a strong interest in applying AI for practical, impactful solutions, which aligns with an innovative and problem-solving culture. Their involvement in a coding club and mentoring activities suggests a collaborative and community-oriented mindset. The breadth of skills (AI, web dev, databases) indicates adaptability and a willingness to explore different technical domains. However, the academic nature of most projects means real-world team collaboration and navigating corporate environments are less demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates initiative through leadership roles and project development. Their passion for problem-solving and continuous learning aligns well with the dynamic nature of an AI Engineer role. The internship experience suggests an understanding of collaborative development and agile methodologies, which are crucial for operational fit. However, the limited professional experience means their ability to handle complex operational challenges independently is yet to be fully proven.