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AI Engineer with less than a year in Java, Python, and Machine Learning.
Aspiring Software Engineer and Artificial Intelligence & Machine Learning undergraduate with hands-on experience in Java, Python, SQL, Data Structures, Algorithms, Object-Oriented Programming, Machine Learning, REST APIs, Git, and GitHub. Developed AI-powered applications, predictive analytics systems, Android applications and solutions through academic projects and internships. Strong problem-solving, analytical thinking, and software development skills with interest in Software Engineering, Artificial Intelligence, Machine Learning, and Backend Development.
Moodlakatte Institute of Technology, Kundapura
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2026
Sri JCBM Sringeri
PUC
June 1, 2020 – May 31, 2022
Morarji Desai Residential School, Koppa
SSLC
June 1, 2016 – May 31, 2020
TAP Academy
Java Full Stack Development Intern
January 1, 2026 – Present
India
UrbanNest – PG & Part-Time Job Finding Platform
January 1, 2026 – June 1, 2026
Developed a full-stack web application connecting students and professionals with PG accommodations and part-time job opportunities. Implemented secure user authentication, profile management, and role-based access for job seekers, tenants, and providers. Designed and integrated RESTful APIs to manage property listings, job postings, user applications, and search functionality. Built responsive and user-friendly interfaces using modern web technologies, ensuring seamless access across devices. Utilized database management techniques for efficient storage and retrieval of accommodation and employment data. Technologies: Java, Spring Boot, Spring Data JPA, MySQL, HTML, CSS, JavaScript, Bootstrap, REST APIs, Git, GitHub.
AI-Based Counterterrorism and National Security System
October 1, 2025 – January 1, 2026
Engineered an AI-powered monitoring platform capable of processing 1000+ activity records for suspicious behavior detection. Applied Machine Learning algorithms to improve anomaly detection accuracy and support threat assessment workflows. Integrated real-time alert generation and monitoring mechanisms for rapid incident identification. Enhanced automated threat detection using predictive analytics techniques and behavioral pattern analysis. Technologies: Python, Scikit-learn, Pandas, NumPy, Streamlit.
Infosys SpringBoard certificate for Java
Infosys
June 1, 2026 – Present
Gen UI/UX in Coursera
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a blend of AI/ML and full-stack development, aligning with the diverse skill sets often valued in tech environments. The 'AI-Based Counterterrorism' project shows an interest in impactful, security-related applications, while 'UrbanNest' indicates an ability to build practical, user-centric platforms. The current internship in Java Full Stack Development, while not directly AI-focused, shows a commitment to continuous learning and practical application of skills. The target role of 'AI Engineer' is well-supported by the AI/ML project, but the strong emphasis on Java full-stack development might indicate a broader interest or a need to bridge the gap between academic AI projects and industry-level AI engineering practices. The candidate is still pursuing a Bachelor's degree, which suggests a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions suggest problem-solving and analytical thinking skills. The 'AI-Based Counterterrorism' project indicates an ability to work on complex, data-intensive problems. The 'UrbanNest' project shows an understanding of user requirements and full-stack development, implying a structured approach to software development. However, without direct assessment data on collaboration, stress handling, or communication, a comprehensive evaluation of operational fit is limited.