
AI Engineer with 1+ years in AI Agent Development & Data Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Junior AI Engineer with experience in AI agent development, memory-based architectures, and scalable data systems. Strong foundation in Python, backend integration, and modern web technologies.
Adichunchanagiri Institute of Technology
Bachelor of Engineering · Information Science and Engineering
August 1, 2021 – June 30, 2025
Seaverse
Junior AI Intern
December 1, 2025 – Present
Mangalore, Karnataka, India
Robowaves
Full Stack Development Intern
February 1, 2025 – June 30, 2025
Bengaluru, Karnataka, India
Cocoon Health Detection System
June 24, 2026 – Present
• Developed CNN-based health detection system using Python and image processing. • Built responsive frontend using HTML, CSS, JavaScript. • Integrated deep learning backend with frontend for real-time predictions. • Applied computer vision techniques to enhance detection performance.
Cultural Fit Analysis
The candidate has experience in both AI-focused roles (Seaverse, Cocoon Health Detection System) and full-stack development (Robowaves), indicating adaptability and a willingness to explore different technical domains. The academic project and internship experiences align well with an AI Engineer role, demonstrating a focused career interest. The breadth of skills across AI, data engineering, and web development suggests a versatile individual who could contribute to diverse teams. However, the limited professional experience (internships only) means cultural fit is primarily inferred from project diversity and stated skills.
Soft Skills & Operational Fit
The candidate's resume indicates a detail-oriented approach and experience in developing modular tools, suggesting good organizational and problem-solving skills. The project descriptions are clear, implying effective communication of technical work. However, without specific assessment data on soft skills or operational fit, a comprehensive evaluation is limited.