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AI Engineer with less than a year in AI, Machine Learning, and Full-Stack Development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering undergraduate with a CGPA of 9.78/10 and strong foundations in Software Engineering, Artificial Intelligence, Machine Learning, Full-Stack Development, and Distributed Systems. Proficient in Java, Python, SQL, JavaScript, and object-oriented programming with hands-on experience developing AI-powered applications, RESTful APIs, deep learning models, and scalable backend services. Experienced in Generative AI, Computer Vision, Database Management Systems, Operating Systems, and Computer Networks. Passionate about building enterprise-scale applications leveraging cloud technologies, microservices, DevOps practices, and modern AI frameworks. Strong analytical, problem-solving, and collaborative skills with a proven ability to deliver high-quality technical solutions.
S.R.MINSTITUTE OF SCIENCE AND TECHNOLOGY
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
P.H.S.S Pallippuram
HSC · Secondary Education
June 1, 2019 – May 31, 2020
P.H.S.S Pallippuram
SSLC · KBPE Kerala Board of Public Examinations
June 1, 2018 – May 31, 2019
Prediction of Genetic Disorder Python
June 1, 2026 – Present
Developed a machine learning-based healthcare analytics platform utilizing over 20,000 healthcare records to predict genetic disorders. Evaluated multiple machine learning algorithms including Random Forest and Logistic Regression, improving prediction accuracy by 18%. Developed REST APIs using Flask to support real-time prediction requests and backend integration. Built automated data preprocessing pipelines reducing manual data preparation effort by 60%.
Banking Management System Java, Spring Boot, REST APIs, MySQL, Postman, Git, Maven
June 1, 2026 – Present
Developed a full-stack Banking Management System supporting account creation, fund transfers, balance inquiries, transaction history, and customer management functionalities. Designed and implemented 8 RESTful APIs using Spring Boot to enable secure communication between frontend and backend services. Used Spring Data JPA and Hibernate as the ORM layer to map Java objects to MySQL tables, eliminating manual SQL boilerplate and simplifying CRUD operations. Performed API testing and validation using Postman, achieving over 95% successful endpoint test execution. Applied object-oriented programming principles and layered architecture to improve maintainability and scalability of the application. Implemented exception handling, input validation, and secure API practices to improve system reliability and robustness.
Leetcode: AJITH538
Leetcode
June 1, 2026 – Present
Codeforce: AJITH53
Codeforce
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest from healthcare analytics (AI/ML) to banking systems (full-stack Java). This diversity, coupled with participation in a hackathon, suggests an adaptable and collaborative individual. The target role of 'AI Engineer' aligns well with the 'Prediction of Genetic Disorder' project and listed AI/ML skills. The candidate's proactive engagement with competitive programming platforms (Leetcode, Codeforce) indicates a drive for continuous learning and problem-solving, which are positive cultural indicators.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through project work, particularly in optimizing prediction accuracy and automating data pipelines. Collaboration is evident from the hackathon achievement. The project descriptions suggest an understanding of SDLC and agile methodologies, indicating a good operational fit for structured development environments. However, without direct work experience, the depth of these soft skills in a professional setting is yet to be validated.